Llama 2 jobs
... 1. We discuss the curriculum topics and learning objectives. 2. You propose the chatbot architecture, suggest the local model or rule-based setup, and outline how quizzes, branching stories, and activity prompts will be delivered. 3. After agreement, you develop a working prototype, package it for Windows and macOS, and include clear installation and teacher-facing instructions. Acceptance criteria • Runs fully offline on a standard laptop. • Delivers at least one example for each lesson type: a scored quiz, an interactive story with branching paths, and a guided experiment outline. • Provides a simple teacher dashboard to review results and tweak content. If you have experience with local LLMs (e.g., Llama-cpp, GPT-J), Python, or Node-JS c...
...system has to sit on a local workstation or small on-prem cluster, expose a clean web-app interface that everyone on the team can log into, and run multiple models side by side for text generation, image generation, video creation, and code-first web development. Here is what matters most to me: • Each of those model families (think LLaMA/LLM-based writers, Stable Diffusion style artists, an open-source video generator, plus a code-assistant such as Code Llama or StarCoder) must be installed, optimised for the available GPUs, and callable through a single API so the front-end can switch tasks without fuss. • The web interface should let us pick a model, set basic parameters, submit a job, and then view or download results. A light Flask, FastAPI, or Node b...
...understand spending patterns, and receive AI-powered financial insights. We are looking for an experienced **Full-Stack Developer / Product Engineer** to join the project and help us enhance, stabilize, and scale the platform. ### Existing Technology Stack * **Mobile/Web App:** Flutter * **Backend:** Python + FastAPI * **Database:** PostgreSQL * **Admin Panel:** React * **AI Service:** Groq / Llama-based AI * **OCR:** Google Cloud Vision * **Architecture:** API-first, scalable SaaS architecture * **Deployment:** Cloud-based infrastructure ### Core Rupexi Features The platform currently includes or is being developed around: * Personal expense tracking * Family expense management * Income and expense management * Receipt scanning using OCR * Automatic transaction/expense cat...
...is content creation. I am still flexible on the exact architecture—whether the core ends up being an NLP model that writes long-form text, a generative image engine, or a multimodal blend, the end goal is the same: reliable, original content produced on demand with minimal human intervention. Here is what I need from you: • A clear proposal outlining the model stack you would use (e.g. GPT-4, Llama 2, Stable Diffusion, or your own fine-tuned variant). • A small proof-of-concept that ingests a prompt and returns publish-ready output. • Documentation describing setup, retraining, and how I can scale the system once the POC is approved. Acceptance criteria: the demo must run locally or on a standard cloud notebook, generate unique content on at leas...
...us the flexibility to use a powerful cloud model when needed or run the entire system privately on a local machine or server. Local and Self-Hosted Models The system should support local AI model platforms such as: Ollama LM Studio vLLM Hugging Face models Other local LLM servers or OpenAI-compatible APIs The developer should ensure compatibility with popular open-source models, including: Llama Mistral Qwen Gemma DeepSeek Other suitable open-source models Cloud AI Models The system should also support cloud-based AI providers, including: OpenAI Anthropic Claude Google Gemini The AI architecture should be flexible enough to switch between local and cloud models without requiring major changes to the application. Configuration The system should allow easy configuration o...
I’m building an enterprise-grade AI application and need two experienced LLM engineers who can jump in right away. You’ll take charge of deep-diving into open-source models—Llama 3, Mistral, and Qwen—and make them sing on our proprietary domain data. Expect plenty of PEFT and QLoRA as you adapt the weights to our unique knowledge base. Beyond fine-tuning, I want a production-ready Retrieval-Augmented Generation pipeline that is clean, modular, and battle-tested. That means intelligent chunking strategies, state-of-the-art embedding models, tight vector-database integration, and a robust evaluation framework so we can measure retrieval quality and generation performance with confidence. A quick note on infrastructure: We have access to a low-cost, high-perfo...
...specialist, animator, and storyteller team (or solo creator) to help build and launch a high-RPM/CPM animated horror channel targeting Tier-1 English-speaking audiences (USA, UK, Canada, Australia). > Target Audience & Monetization Strategy: > * Target GEO: USA, UK, Canada, Australia, NZ (Strict Tier-1 targeting). > * Format: Engaging 2D / 2.5D animated horror stories (e.g., Wansee National Park, Llama Arts, or Mr. Nightmare style). > * Length: 8–12 minutes per video (optimized for mid-roll ad placement and maximum watch time). > * Language: Fluent native English narration (human or high-grade ElevenLabs voiceover). > Scope of Work / Deliverables: > * Channel Setup & Branding: Channel art, logo, banner, SEO metadata, and monetization-ready ...
More details: FadeMaster Is this project for business or personal use? For starting a new enterprise What information should successful freelancers include in their application? Experience How soon do you need your project completed? ASAP
...text. The base model can be an open-source option such as Llama, Qwen, Llama-2 to be used on Fireworks.ai. Required Qualifications • Proven experience fine tuning open weight LLMs (LoRA/QLoRA, PEFT, TRL, Axolotl, Unsloth, etc.) • Strong dataset curation + instruction tuning background • Experience evaluating style sensitive generation (held out testing, overfitting controls, memorization checks) • Experience with privacy sensitive or client-controlled workflows • Preferred: experience with one of legal, technical, scholarly, or literary corpora. You’ll 1. start by using a corpus I have created of 150 pages, approximately 100,000 words, (it is not chunked or randomized, and if needed, deduplication, train/validation split), then 2...
...cross-referenced with real, clickable citations from the integrated databases. Real-time Streaming: Polish the WebSocket stream so that research synthesis appears live in the frontend panels. Biomedical Reflection: Refine the "Reflection Agent" (currently using a fine-tuned biomedical Llama model) to perform a secondary quality check on the literature review output. Technical Stack: Backend: Deno v2 (TypeScript), WebSockets. Frontend: React, Vite, Tailwind CSS, Framer Motion. AI Logic: LangGraph, LangChain. Models: Groq (Llama 3.3 70B Orchestrator) & Local Ollama (Biomedical fine-tuned SLM). What’s Already Done: ✅ Stable Multi-agent state graph and orchestration logic. ✅ Professional, responsive dashboard with glassmorphism effects. ✅ Backend/Frontend c...
...monitoring, logging and autoscaling Acceptance criteria 1. One-click (or single-command) Azure deployment producing a live endpoint 2. Automated tests covering critical paths with ≥90 % pass rate in CI 3. Median response time under 800 ms for a 200-token request 4. Clear, developer-friendly README and API contract Technical Details & Architecture Overview We are building a production-grade Agentic AI content generation platform using Python, FastAPI, Hugging Face Transformers, and Azure cloud services. The initial architecture will support enterprise LLM workflows with flexibility to evaluate and integrate different open-source instruction-tuned models such as Llama, Mistral, or similar Hugging Face model families based on performance, cost, and deployment requ...
...behavioral analysis • pattern recognition • forecasting ________________________________________ Dashboard Modern executive dashboard including: • KPIs • alerts • analytics • reporting • visualization • customizable widgets ________________________________________ Preferred Technology Backend • Python • FastAPI • PostgreSQL • Neo4j • Elasticsearch • Redis • Kafka AI • PyTorch • TensorFlow • LangChain • Llama • Vector Databases • RAG Frontend • React • TypeScript • Mapbox • D3.js or Infrastructure • Docker • Kubernetes • AWS or Azure • CI/CD ________________________________________ Deliverables • Production-ready source code • ...
...secure file drop, normalise them, and store them for low-latency retrieval. • RAG engine: combine a vector database with an LLM of your choice (e.g. OpenAI GPT-4, Llama-2, Claude) so the model can ground every answer in the most relevant documents. • Decision layer: map the model’s output to deterministic business rules and produce a final action flag (red, amber, green) plus an explanation. • Dashboard & API: surface results through a lightweight web UI and a REST endpoint so other systems can consume them. Success criteria 1. Given a set of fresh operational inputs, the platform returns a colour flag in <3 seconds. 2. The supporting evidence is traceable to source documents. 3. I can retrain or extend the knowledge base thr...
...speed, memory usage, and modularity. • Explanations must be actionable: highlight current bottlenecks, show improved snippets, and justify each change so I can learn from the process. • The model or pipeline should handle real-world projects of moderate size without timing out or flooding me with irrelevant lint-style warnings. • Solutions leveraging open-source LLMs (e.g., GPT-J, LLaMA 2, Code Llama) or a clever orchestration of existing APIs are welcome, as long as latency stays practical and privacy is respected; any fine-tuning steps should be reproducible. • Include a straightforward way to update the knowledge base so the agent improves as our code standards evolve. Acceptance criteria: the agent runs locally on macOS/Linux, delive...
...speed, memory usage, and modularity. • Explanations must be actionable: highlight current bottlenecks, show improved snippets, and justify each change so I can learn from the process. • The model or pipeline should handle real-world projects of moderate size without timing out or flooding me with irrelevant lint-style warnings. • Solutions leveraging open-source LLMs (e.g., GPT-J, LLaMA 2, Code Llama) or a clever orchestration of existing APIs are welcome, as long as latency stays practical and privacy is respected; any fine-tuning steps should be reproducible. • Include a straightforward way to update the knowledge base so the agent improves as our code standards evolve. Acceptance criteria: the agent runs locally on macOS/Linux, delive...
...speed, memory usage, and modularity. • Explanations must be actionable: highlight current bottlenecks, show improved snippets, and justify each change so I can learn from the process. • The model or pipeline should handle real-world projects of moderate size without timing out or flooding me with irrelevant lint-style warnings. • Solutions leveraging open-source LLMs (e.g., GPT-J, LLaMA 2, Code Llama) or a clever orchestration of existing APIs are welcome, as long as latency stays practical and privacy is respected; any fine-tuning steps should be reproducible. • Include a straightforward way to update the knowledge base so the agent improves as our code standards evolve. Acceptance criteria: the agent runs locally on macOS/Linux, delive...
...optimizar y conectar mi entorno actual en Linux (Pop!_OS). Ya tengo varias herramientas instaladas (**Ollama con Llama 3, OpenClaw, n8n**), pero necesito un profesional que limpie la configuración actual, resuelva conflictos de recursos y cree una arquitectura de orquestación sólida. #### **Objetivos y Entregables del Proyecto:** 1. **Orquestación de Agentes Maestros:** * Desarrollar un **Agente Maestro "CLAW"** (utilizando el framework OpenClaw). * Este Agente Maestro debe tener la capacidad de crear, spawnear y gestionar sub-agentes locales de forma dinámica. * Configurar y entregar al menos **1 agente hijo que funcione como un clon/espejo de Antigravity**, heredando capacidades de ejecución. 2. **Optimización de...
...rhinitis, Type 2 diabetes or a paraneoplastic syndrome. Keeping knowledge current Updates should be automated and offline-friendly. The agent needs a scheduled routine that pulls new data from major medical journals, government health databases and recent clinical trial results, folds that information into the local store, and re-indexes without me touching a command line. Install & hosting requirements • One-click installer for Windows 10+ laptops and a signed .dmg for recent macOS versions. • No external calls once installed; all inference and storage stay on the device. • Resource footprint light enough for a mid-range laptop (8 GB RAM) yet scalable if the clinic later migrates to a server. Deliverables 1. Installation packages (.exe / .dmg) wit...
...Feature engineering * Model evaluation and validation * Time series forecasting (preferred) * Statistical analysis and experimentation * Experience with: * Python * Pandas * NumPy * Scikit-learn * XGBoost / LightGBM / CatBoost * Strong SQL skills and experience working with large datasets. ### Generative AI Hands-on experience with: * Large Language Models (OpenAI, Claude, Gemini, Llama, etc.) * Multi-agent architectures * RAG systems * Prompt engineering * Tool calling / Function calling * Structured outputs * Context management * Memory architectures * Vector databases such as Pinecone, Qdrant, Weaviate, Milvus, Chroma, or FAISS * Embeddings and semantic search * Hybrid retrieval and reranking Experience with one or more frameworks: * LangGraph * LangChain...
...suitable AI models and frameworks * Design a modular, scalable system * Estimate development phases, timeline, and cost * Help prepare a technical roadmap suitable for investors and future development Experience with any of the following would be valuable: * Computer Vision (YOLO, RT-DETR, etc.) * OCR (PaddleOCR, EasyOCR) * Speech-to-Text (Whisper) * Text-to-Speech (Piper or similar) * LLMs (Gemma, Llama, Qwen, etc.) * Edge AI and embedded systems * AI system architecture **Current Stage** This project is currently at the MVP planning stage. We are actively seeking funding and strategic partnerships before beginning full-scale development. If you've worked on AI assistants, computer vision systems, robotics, wearable technology, or real-time AI applications, I'd lo...
I'm seeking a talented illustrator to create engaging, Pixar-inspired artwork for my children's book titled "Slow, Poke & Dude Try Out a Farm." The story features a cast of adorable animal characters, including a hedgehog, llama, capybara, and sloth. ### Requirements: - Illustrations should capture the whimsical and imaginative essence of Pixar animations. - Style should appeal to young children and their parents. - Ability to bring unique animal characters to life in a captivating way. ### What I need illustrated: * **32 interior pages total** * **1 front cover** * **1 full wraparound paperback cover**: back cover + spine + front cover * Optional: character sticker/cutout files for future marketing ### Interior page format: Each interior page should be: *...
...help me build the MVP (first version) of an AI-powered mental health chatbot. The chatbot should provide supportive and empathetic conversations in both Arabic and English. It is designed to help users who need emotional support, while clearly stating that it is not a replacement for a licensed mental health professional. Required Features Python (Flask) HTML, CSS, JavaScript Ollama integration (Llama 3, no OpenAI API) Smart conversational AI (not keyword-based) Arabic & English support User registration and login Save chat history for each user SQLite database Responsive and modern UI Future Features (Not required in this phase) Voice conversations Mood tracking Emotion analysis AI avatar Mobile application Premium subscription system Notes The code should be clean, well-str...
...ENGINEER – PART-TIME (7–10 DAY PROJECT) Long-term role for the right person. We are deploying a full AI ecosystem with LLMs, memory systems, search, video generation, and creative tools. We need a Python AI Engineer to deploy the AI core on production infrastructure. This is a PRODUCTION deployment role – NOT research. --- WHAT YOU'LL DO: · Deploy vLLM inference servers on RunPod GPU pods (Llama 3.3 70B, Qwen 2.5 Coder 32B, DeepSeek R1 32B, BGE-large) · Set up OpenAI-compatible API endpoints, VRAM management, Flash Attention, health checks · Build Memory Service (FastAPI) – embeddings with BGE, vector storage with Qdrant, similarity search · Build Brain Gateway (FastAPI) – router for LLM requests, orchestration, ...
...**Training Topics** 1. Introduction to AI, Generative AI & LLMs 2. How LLMs Work (Training, Fine-Tuning, RAG, Embeddings, Vector Databases) 3. Open-Source vs Enterprise LLMs 4. Building a Private/Custom LLM for Business Use 5. Infrastructure & Deployment Options (Cloud, On-Premise, Hybrid) 6. AI Data Security, Governance & Compliance 7. Practical Use Cases for Engineering, Technical Documentation, Tendering & Pre-Sales 8. Prompt Engineering & AI Workflows 9. Microsoft Copilot, Azure OpenAI & Enterprise AI Platforms 10. Hands-On Demonstration and Q&A **Trainer Requirements** * Strong expertise in LLMs and Generative AI * Experience building or deploying custom/private AI solutions * Knowledge of Azure OpenAI, Microsoft Copilot, OpenAI, Llama, ...
...de perder su energía en una vida que no corresponde con su Ser. Símbolo central del personaje El símbolo del personaje Yo, la Energía es: La Semilla-Cauce Debe representarse como una semilla luminosa, orgánica y vertical, atravesada por un cauce central. La parte inferior debe sugerir raíz; la parte superior, brote, ascenso o apertura. El centro puede contener un núcleo de luz, punto o pequeña llama abstracta. Elementos simbólicos: Semilla: esencia, origen, identidad profunda, potencia viva. Raíz descendente: retorno, cuerpo, sostén, memoria, conexión con lo real. Cauce vertical: dirección, propósito, orden, flujo interior. Brote ascendente: función, crecimiento, expansi&oacu...
...variable-layout text PDFs and save them cleanly into a database via a structured schema. Requirements & Technical Constraints: No Third-Party APIs: We cannot use OpenAI, Gemini, Claude, or any external APIs due to strict data privacy rules. The entire system must run completely offline on a local server. Tech Stack: Python, PyMuPDF (or pdfplumber), and Ollama running a local model (such as Qwen2.5-7B or Llama-3.1-8B). Variable Layouts: The documents have similar text data but the visual layouts, formatting, and specific wording change significantly from file to file. Traditional coordinate-based PDF parsing will not work. Structured Output: The local LLM must be configured using Pydantic or Ollama’s structured JSON output feature to guarantee a strict schema respon...
...leaning toward Llama, with text generation as the primary use case, but I’m open to your professional advice if another model proves clearly superior. Scope of work • Recommend the best open-source LLM variant for my goals. • Install and configure the model on my Linux server (SSH access provided). • Detail exact hardware requirements and performance expectations. • Walk me through basic prompting so I can see it running in real time. • Explain Retrieval-Augmented Generation (knowledge-base integration) and show a simple example. • Cover built-in and add-on translation capabilities. • Outline options for fine-tuning or further training. • Provide a repeatable checklist so I can clone the setup for future clients. Del...
...accuracy, safety, reliability, and performance. * Stay updated with the latest advancements in LLMs, RAG, AI agents, and applied generative AI. ## Required Qualifications * Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, AI, Statistics, Engineering, or a related field. * 2+ years of experience in data science, machine learning, AI engineering, or applied NLP. * Hands-on experience building applications using LLMs such as OpenAI, Anthropic, Gemini, Llama, Mistral, Qwen, or similar models. * Strong Python programming skills. * Experience with RAG pipelines, embeddings, vector databases, and retrieval systems. * Experience with at least one framework such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Hay...
...accuracy, safety, reliability, and performance. * Stay updated with the latest advancements in LLMs, RAG, AI agents, and applied generative AI. ## Required Qualifications * Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, AI, Statistics, Engineering, or a related field. * 2+ years of experience in data science, machine learning, AI engineering, or applied NLP. * Hands-on experience building applications using LLMs such as OpenAI, Anthropic, Gemini, Llama, Mistral, Qwen, or similar models. * Strong Python programming skills. * Experience with RAG pipelines, embeddings, vector databases, and retrieval systems. * Experience with at least one framework such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Hay...
...have a RunPod GPU instance waiting and need a clean, production-ready setup of an open-source large language model that will power a technical-support chatbot. Here’s what has to happen: • Provision the RunPod container (CUDA drivers, Python, Hugging Face Transformers, LangChain, bitsandbytes, etc.) and verify the GPU is fully utilized. • Load and configure an open LLM (I’m leaning toward Llama-2 or similar; suggestions welcome) with the right quantization to fit the available VRAM while maintaining answer quality. • Expose a secure REST or WebSocket endpoint—FastAPI is fine—so my front-end can pass user queries and receive streamed responses. • Add basic retrieval-augmented generation hooks so the bot can reference m...
I’m building a new YouTube channel devoted to animated supernatural horror tales and I need a creative 2D animator who can become my long-term partner. Think of the mood you find on channels such as Llama Arts or Wansee Entertainment—dark yet stylish, more unsettling than gory, always driven by an eerie story and punctuated with just-right sound design. That’s exactly the vibe I’m after. Here’s the framework we’ll follow: • Format: 2D animation only. You may use Toon Boom, Adobe Animate, After Effects, or any pipeline you’re comfortable with as long as the final result is smooth and broadcast-ready. • Focus: Above all else, the piece must radiate a scary atmosphere. Lighting, colour grading, pacing, and audio cues should all wo...
ENGLISH We are looking to redesign and modernize the logo for our business ... símbolos, íconos o versiones más limpias y memorables. Nos interesan especialmente diseños con tonos rojos, negros y combinaciones que transmitan sabor, fuego, energía, rapidez y calidad. El logo debe funcionar bien para local físico, redes sociales, packaging, letreros, uniformes y futuras aplicaciones de marca. Buscamos una identidad visual fuerte, moderna y fácil de recordar. La marca se llama Recomiendo, inspirada en la idea de que, una vez que pruebas la comida, la vuelves a comer y también la recomiendas. El nombre juega con el concepto de “re-comer”: repetir por sabor, calidad y antojo. Queremos que el logo transmita una marca q...
...lightweight local inference. The deliverable is production‑ready code, deployment scripts, documentation, and a short training session. Scope of Work Build and deploy an Operations Agent that automates client intake, document tracking, and status notifications. Integrate agent with email, Google Drive, Stripe, and calendar (or equivalent). Use open‑source models or hosted endpoints (examples: Qwen, Llama 3.x, DeepSeek variants) and an agent framework (AutoGen, LangGraph, or similar). Provide CI/test scripts, security controls, and deployment instructions. Success Metrics Agent completes client intake flow end‑to‑end with < 5% failure rate on test inputs. Response latency under 3s for hosted calls; under 10s for local CPU inference on test hardware. Automated test suit...
...Export enriched results as CSV SETUP ORDER ----------- 1. Run in Supabase SQL Editor 2. Import contacts (if not done): pip install supabase python-dotenv python --file --limit 500 3. Install and run locally: pip install -r python Test: http://localhost:5001/health 4. Open HTML files: - Search + AI Enrichment - Launch campaigns - Monitor live pipeline DEPLOY TO PYTHONANYWHERE (FREE, ALWAYS ON) ------------------------------------------ 1. -> Create free Beginner account 2. Files tab -> Upload: + 3. Consoles -> Bash: mkvirtualenv --python=/usr/bin/python3
...well enough to set it up and support clients confidently. The end users are small accounting firms (3–20 staff) who handle sensitive financial data and cannot use cloud AI tools for compliance reasons. What I need from you: Build a pre-configured local AI package I can deploy repeatedly at different client sites with minimal technical steps Choose and configure the right open-source model (e.g. Llama 3, Mistral, Phi-3) for accounting-related tasks Make it usable for non-technical accounting staff — simple interface, no command line Document everything clearly — step-by-step install guide written for a non-developer Coach me via video calls so I understand what I'm installing, can troubleshoot common issues, and can answer basic client questions Be avail...
...close to zero. I am therefore leaning toward open-source or very low-cost models (e.g. Llama 3, Mistral, Ollama, LocalAI) running on my own VPS or a lightweight managed service. If you can demonstrate that a small-tier commercial plan (Gemini Pro Lite, OpenAI 3.5 free quota, etc.) fits the cost target, I am open to it, but the default should be free/open. TECH STACK FACTS • Current agent: Python command line • Repo includes basic vector-store retrieval but no production DB • My site: sanilla HTML/JS front end (can be adjusted) • Hosting: Ubuntu server with SSH access and Docker installed WHAT I NEED FROM YOU 1. Review the GitHub code and confirm what, if anything, must be refactored for production. 2. Select and configure an appropriate mod...
...Proven experience designing and building agentic, multi-agent systems that can perform reasoning and planning using frameworks such as LangChain, LangGraph, CrewAI, or similar. Programming & ML Foundations: Strong Python expertise with hands-on experience in AI/ML libraries such as PyTorch, TensorFlow, and Scikit-learn. Model & Platform Versatility: Experience working with open-source LLMs (e.g., LLaMA, Mistral) and proprietary platforms/APIs (e.g., OpenAI GPT, Google Gemini, Azure OpenAI). Cloud AI Platforms: Experience with AI/ML services on any major cloud platform (Vertex AI, SageMaker, Azure ML). Preferred Skills Cloud-Native Systems: Experience building scalable systems using Docker, serverless, and managed cloud services. API & Backend Engineering: Experience...
...Agentic AI: Proven experience designing and building multi-agent systems capable of reasoning and planning using frameworks such as Lang Chain, Lang Graph, Crew AI, or similar. Programming & ML Foundations: Strong Python expertise with hands-on experience in AI/ML libraries such as Py Torch, TensorFlow, and Scikit-learn. Model & Platform Versatility: Experience working with open-source LLMs (e.g., LLaMA, Mistral) and proprietary platforms/APIs (e.g., OpenAI GPT, Google Gemini, Azure OpenAI). Cloud AI Platforms: Experience with AI/ML services on major cloud platforms such as Vertex AI, SageMaker, or Azure ML. Preferred Skills Experience building scalable cloud-native systems using Docker, serverless architectures, and managed cloud services. Strong API and backend engine...
...Required - Autonomous Agents - Tool-calling workflows - Multi-agent architectures and design patterns - Local / Private AI deployments - Advanced reasoning and orchestration beyond prompt engineering - Strong understanding of selecting and applying AI models based on specific use cases --- AI Models & Tools (Hands-on Experience Preferred) - Qwen 3.6, GLI, Gemma 4 - Qwen Next Coder, GPT-OSS, Llama 4 - Claude Code, Gemini CLI, Codex 5.4 - Sonnet 4.6 / 4.7, Gemini Pro, ClawBot --- Must-Have - Experience in Payment Integrity domain - Strong expertise in Kafka (mandatory) --- Nice to Have - Experience with Windsurf, Cursor, or GitHub Copilot --- Interested candidates can reach out via Freelancer chat for further details. #Hiring #DataEngineer #AIEngineer #DataScience ...
...always “text from images,” never scanned PDFs or live handwriting. • AI logic: Pass the recognised string to a simple question-answer routine (OpenAI API, Llama .cpp, or any efficient model you prefer) and return a concise, single-sentence reply. No lengthy explanations are needed. • Display: Push that reply to a 128×64 (or similar) monochrome OLED over SPI/I²C using the common SSD1306 driver. Text must be readable and auto-wrap if longer than the screen width. • Repeat or exit cleanly on Ctrl-C. Acceptance criteria 1. A single CLI command (e.g., python3 ) initiates the whole flow and prints any debug messages to the terminal. 2. Accuracy: OCR reliably captures printed text that is at least 10 pt and well lit. 3. AI respon...
Go to and download final evolution ai. (It's free ignore the thankyou for purchasing things). This way you can see what we are dealing with here. I need this annoying 2 hour long installation video gone, I need a packaged .exe so users can simply click and run the program. obviously all folders and files will be alongside the .exe contained in root folder. however there is also visual studio msvc and ffmpeg dependancies amongst others.... I can not sell this software unless it is in an .exe, exe does not need to be digitally signed, i can make a video teaching them how to "more info>run anyway", test out the software it needs to have everything working. the professional webmaster toolkit within the software is already in .exe format, I did that
...Automated Report & Form Generation: User describes requirements → AI generates complete reports in Word/PDF format with tables, charts, and summaries. Knowledge Management: Multiple document collections (workspaces), filtering by department, year, document type, etc. Conversation History & Memory. High Security: All data stays on local server/machine. Preferred Technology Stack: LLM: Ollama (Qwen3, Llama 3.1/3.3, or any strong Vietnamese-supported models). Framework: LangChain or LlamaIndex. Vector Database: ChromaDB, FAISS, or LanceDB. Embedding Model: nomic-embed-text or equivalent. Frontend: Streamlit, Gradio, Open WebUI, or AnythingLLM. Report Export: python-docx, WeasyPrint, ReportLab, Jinja2. Requirements for Freelancer: Proven experience building Local LLM...
Project Overview This project focuses on building: LLM-powered systems that take actions, not just generate outputs Autonomous agent architectures that interact with tools, APIs, and data pipelines A scalable AI system capable of real-world execution and decision-making What You’ll Be Building LLM-powered applications (OpenAI, Anthropic, LLaMA, Mistral) RAG pipelines (retrieval, hybrid search, re-ranking) Agent systems using LangChain / LangGraph Tool-use systems (API integrations, external tools) Data ingestion + retrieval pipelines Monitoring, logging, and evaluation systems Key Responsibilities Architect and develop scalable AI systems Design and optimize RAG pipelines Build and manage multi-agent workflows Improve latency, cost, and performance Implement evaluation fra...
...responsiveness Stable and reliable for daily use Integration Goals: I primarily use Quantower for trading, so the AI should be able to: Help analyze market data (manually input or pasted) Assist with trade ideas, summaries, and strategy insights Ability to connect or interact with Quantower tools via. As Much Access As possible. Technical Preferences (Flexible): Open-source models preferred (e.g., LLaMA-based or similar) Local model management (download, load, switch models if needed) Simple installer or packaged environment (Docker, executable, or similar) What I Do NOT Want: Cloud-based AI systems Anything requiring subscriptions or token-based billing Overly complex setup or maintenance End Goal: A local AI assistant on my PC that behaves similarly to the built-in AI ex...
I am looking for a versatile professional or a small team to handle a multi-stage digital project. This involves web development, AI integration, and brand identity design. Key Requirements: E-commerce Website: Build a fully functional, mobile-respons...product descriptions and blog posts within the platform. Logo & Brand Design: Create a unique, professional logo and brand guidelines that reflect a modern digital business. Technical Skills Needed: Frontend: React.js, , or similar modern frameworks. Backend: Node.js, Python, or Supabase/Firebase. Design: Adobe Illustrator, Photoshop, or Figma. AI: Experience with API integrations (GPT-4/Llama). Deliverables: Complete source code with documentation. High-resolution logo files (SVG, PNG, AI). Fully deployed and bug-free w...
...ones as wrong, so I need a specialist who can put several models through their paces, isolate the causes of these misclassifications, and tune the pipeline until the results are consistently reliable. Speed and consistency will matter later, but first I need the numbers to be right. You’ll have freedom to evaluate any mix of commercial LLMs (GPT-4, Claude, Bard, etc.) and open-source options (Llama 2, Falcon, custom fine-tuned transformers) so long as you keep the comparison fair and reproducible. The current stack is Python with Hugging Face and a small PostgreSQL database for answer keys; if another framework is essential, outline why and how you’ll integrate it back into this environment. Deliverables • A benchmark report showing precision, reca...
...content * Implement local AI model for offline usage * Fine-tune model for: - school-level explanations - bilingual support (English + regional language) - curriculum-bound responses * Build APIs and backend for integration with classroom system * Develop synchronization system (offline → central server) * Provide documentation and training Technical Requirements * Experience with LLMs (LLaMA, Mistral, etc.) * Experience with RAG frameworks (LangChain / LlamaIndex) * Vector databases (FAISS / Qdrant / Chroma) * Local AI deployment (Ollama / ) * Python backend (FastAPI preferred) Deliverables * Fully functional AI engine (offline capable) * Documentation * Deployment support * Training for internal team Preferred Experience * EdTech AI systems * Multilingual AI s...
...responsiveness Stable and reliable for daily use Integration Goals: I primarily use Quantower for trading, so the AI should be able to: Help analyze market data (manually input or pasted) Assist with trade ideas, summaries, and strategy insights (Optional) Ability to connect or interact with external tools via API if feasible Technical Preferences (Flexible): Open-source models preferred (e.g., LLaMA-based or similar) Local model management (download, load, switch models if needed) Simple installer or packaged environment (Docker, executable, or similar) What I Do NOT Want: Cloud-based AI systems Anything requiring subscriptions or token-based billing Overly complex setup or maintenance End Goal: A local AI assistant on my PC that behaves similarly to the built-in AI exper...
...ready to introduce an AI-powered concierge on my premium automotive detailing website and need a developer who can take it from concept to production. The assistant must answer real-time questions about services and pricing, booking appointments, and aftercare, drawing exclusively on my business information. Here’s the experience I’m after: ultra-low-latency replies through Groq’s API, running LLaMA 3.3 70B behind the scenes. I want conversation history to persist across a visitor’s session, so Streamlit session_state (or an equally clean solution) is the framework of choice, with python-dotenv keeping keys secure. A polished, on-brand interface, a friendly greeting flow, and easy deployment to a cloud host should round it out. Only English support i...
