LLMs for all
List of resources from fine-tuning, to RAG, to AI agents, etc
Nowaydays you cannot live without Large Language Models(LLM).
Innovations about this are popping up on a weekly or even daily basis. As it is hard to follow everything, I made this list covering many links, from tutorial, resources, code for fine-tuning, RAG, compressions, and other things 🤖🤖🤖. I might keep updating it if novel tools will pop-up and some get obsolete. Enyjoy.
Applications
Applications
Build & Auto-optimize
- dspy — DSPy: The framework for programming — not prompting — foundation models.
Orchestration
- LangChain — A popular Python/JavaScript library for chaining sequences of language model prompts. Mostly focused on text from document extraction.
- Haystack — Python framework that allows you to build applications powered by LLMs. Mostly focused on vector data representation.
- LlamaIndex — A Python library for augmenting LLM apps with data.
Prompt Optimization
- AutoPrompt — A framework for prompt tuning using Intent-based Prompt Calibration
- PromptFify — A library for prompt engineering that simplifies NLP tasks (e.g., NER…