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.
☆54Updated 9 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!!☆92Updated this week
- AI agent with RAG+ReAct on Indian Constitution & BNS☆76Updated 5 months ago
- ☆36Updated 7 months ago
- Set up your local AI-powered dev environment just like professional AI Engineers☆72Updated 4 months ago
- AI Engineering bootcamp☆106Updated 9 months ago
- ☆113Updated 3 months ago
- This project implements a Retrieval-Augmented Generation (RAG) system that can handle different types of files. The system uses FastAPI f…☆34Updated 6 months ago
- Enterprise-grade memory framework for LLMs featuring GPU-optimized inference, vector storage, and automated scaling. Enables hyper-person…☆87Updated 7 months ago
- ☆64Updated 8 months ago
- Multimodal AI workloads: batch inference, model training and online serving.☆103Updated 3 months ago
- Terminal-based AI Coding Agent, similar to Claude Code, OpenAI Codex etc. but works with many more LLMs e.g. Gemini, Groq, Deepseek☆151Updated 7 months ago
- A tutorial on how to use Model Context Protocol by Anthropic and Agent2Agent Protocol by Google☆99Updated 7 months ago
- This repository will contain the presentation and python jupyter notebooks for the DataHack Summit 2024 conference talk, Improving Real-w…☆121Updated last year
- Building your first LLM application with OpenAI, and AI-assisted Development, step-by-step!☆114Updated 2 weeks ago
- ☆89Updated 7 months ago
- ☆212Updated 6 months ago
- ☆40Updated 2 months ago
- This repository will contain the presentation and python jupyter notebooks for my DataHack Summit 2025 conference talk, Building Effectiv…☆72Updated 3 months ago
- An example showing how A2A and MCP can be used together☆184Updated 6 months ago
- GenAI Experimentation☆59Updated 3 months ago
- A reimplementation of langgraph's customer support example in Rasa's CALM paradigm and a quantiative evaluation of the 2 approaches☆81Updated 8 months ago
- A practical RAG where you can download and chat with github repo☆93Updated 9 months ago
- This project involves using llamaindex Multi Agents concierge system and Qdrant vector database to customize the RAG application with use …☆55Updated last year
- ☆85Updated last month
- Official Implementation of "Affordable AI Assistants with Knowledge Graph of Thoughts"☆195Updated 2 months ago
- Optimized Large Language Models for Financial Applications – Efficient, Scalable, and Domain-Specific AI for Finance.☆50Updated 5 months ago
- Scripts, notebooks, and articles about data science in general.☆53Updated 2 years ago
- ☆219Updated 5 months ago
- ☆58Updated 7 months ago
- Generate Tools and Toolkits from any Python SDK -- no extra code required☆54Updated last year