Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.
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Updated
Feb 25, 2026 - Jupyter Notebook
Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.
⚡Ship RAG Solutions Quickly and effortlessly
Курс "Разработка AI/LLM-приложений на Python: от идеи до релиза" предоставляет слушателям возможность пройти через полный цикл создания LLM-приложений, от идеи до релиза. В рамках курса вы познакомитесь с передовыми технологиями и инструментами, такими как Mistral AI API, LangChain, Arize Phoenix, FastAPI, PostgreSQL и Docker и т.д
A production framework for DSPy implementing the Teacher-Student pattern. Distill the reasoning of expensive models (Teacher) into optimized prompts for cheap, fast models (Student) to reduce inference costs by up to 50x.
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a small space adventure showcasing the capabilities of retrieval augmented generation (RAG)
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An enterprise-grade contextual RAG chatbot with ZenML pipelines, CrewAI agents, Ollama models, and OpenWebUI — designed for intelligent, local, and explainable document querying.
chAIn - A multi-agent resilience engine for global logistic
An advanced RAG-based AI assistant for Dungeons & Dragons (5e). Built with LlamaIndex, Ollama, and Qdrant to provide precise rule interpretations
AI agent using OpenAI Agents SDK with MCP tools to read, create, and update Google Calendar events.
Advanced medical RAG system with hierarchical retrieval and parent–child document mapping for accurate clinical QA.
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