AIJupyter Notebook★ 3,683
hemansnation/AI-Engineer-Headquarters
AI‑ENGINEER HQ: SCIENCE CORE
The project contains Jupyter notebooks with methods for training models, RAG pipelines on LangChain and data structure algorithms for AI agents. It allows quickly creating, testing and deploying own AI solutions.
// KEY FEATURES
- Notebooks with ready-made pipelines for training LLMs on private corpora data.
- Implementation of RAG systems: vector storage, retrieval and generation via LangChain.
- Sets of structure algorithms (trees, graphs, hashes) for accelerating AI agents.
- Illustrations of multi-agent systems: agent interaction and task coordination.
#ai#ai-agents#aiengineering#data-structures-and-algorithms#deep-learning#langchain#langgraph#llm#llm-evaluation#llm-inference#llm-security#machine-learning
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