AI-Maker-Space / LLM-Engineering-Foundations-to-SLMs-Open-SourceLinks
Large Language Model Engineering (LLM Engineering) refers to the emerging best-practices and tools for pretraining, post-training, and optimizing LLMs prior to production deployment. Pre- and post-training techniques include unsupervised pretraining, supervised fine-tuning, alignment, model merging, distillation, quantization. and others.
☆42Updated 4 months ago
Alternatives and similar repositories for LLM-Engineering-Foundations-to-SLMs-Open-Source
Users that are interested in LLM-Engineering-Foundations-to-SLMs-Open-Source are comparing it to the libraries listed below
Sorting:
- An index of all of our weekly concepts + code events for aspiring AI Engineers and Business Leaders!!☆75Updated last week
- AI agent with RAG+ReAct on Indian Constitution & BNS☆69Updated 2 weeks ago
- Set up your local AI-powered dev environment just like professional AI Engineers☆65Updated this week
- Enterprise-grade memory framework for LLMs featuring GPU-optimized inference, vector storage, and automated scaling. Enables hyper-person…☆89Updated 2 months ago
- Building your first LLM application with OpenAI, and AI-assisted Development, step-by-step!☆98Updated last month
- This project implements a Retrieval-Augmented Generation (RAG) system that can handle different types of files. The system uses FastAPI f…☆33Updated last month
- GenAI Experimentation☆57Updated this week
- Terminal-based AI Coding Agent, similar to Claude Code, OpenAI Codex etc. but works with many more LLMs e.g. Gemini, Groq, Deepseek☆138Updated 2 months ago
- AI Engineering bootcamp☆93Updated 4 months ago
- ☆63Updated 3 months ago
- ☆34Updated 2 months ago
- The repository explores various RAG techniques, including implementation guides, use cases, and best practices. Each article is designed …☆56Updated 2 months ago
- ☆194Updated last week
- A framework for fine-tuning retrieval-augmented generation (RAG) systems.☆122Updated this week
- ☆47Updated 7 months ago
- 🚀 Use NVIDIA NIMs with Haystack pipelines☆32Updated 10 months ago
- ☆87Updated 2 months ago
- This project involves using llamaindex Multi Agents concierge system and Qdrant vector database to customize the RAG application with use…☆54Updated 10 months ago
- Dynamic Metadata based RAG Framework☆75Updated 11 months ago
- ☆74Updated 9 months ago
- ☆40Updated 6 months ago
- A tutorial on how to use Model Context Protocol by Anthropic and Agent2Agent Protocol by Google☆77Updated 2 months ago
- ☆25Updated 5 months ago
- Build a Recommendation System Agent using LATS Agent Approach☆32Updated 4 months ago
- oda-r is a professional-grade compiler for Declarative Self-improving Python (DSPy), featuring comprehensive error handling, logging, and…☆36Updated 5 months ago
- ☆26Updated last year
- Granite Snack Cookbook -- easily consumable recipes (python notebooks) that showcase the capabilities of the Granite models☆213Updated last week
- A reimplementation of langgraph's customer support example in Rasa's CALM paradigm and a quantiative evaluation of the 2 approaches☆80Updated 3 months ago
- An MCP Multimodal AI Agent with eyes and ears!☆231Updated last week
- Notebooks for Tutorials from Marktechpost☆101Updated this week