Youngerjesus's Stars
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
karpathy/LLM101n
LLM101n: Let's build a Storyteller
qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
crewAIInc/crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Hannibal046/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—foundation models
NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
GoogleCloudPlatform/generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
langchain-ai/langgraph
Build resilient language agents as graphs.
anthropics/courses
Anthropic's educational courses
microsoft/LLMLingua
[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
thunlp/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
Shubhamsaboo/awesome-llm-apps
Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
langchain-ai/rag-from-scratch
Timothyxxx/Chain-of-ThoughtsPapers
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
hymie122/RAG-Survey
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
teddylee777/langchain-kr
LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.
amphi-ai/amphi-etl
Visual Data Transformation with Python Code Generation. Low-Code Python-based ETL.
anthropics/prompt-eng-interactive-tutorial
Anthropic's Interactive Prompt Engineering Tutorial
sarthakrastogi/quality-prompts
elastic/elasticsearch-labs
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
AmberLJC/LLMSys-PaperList
Large Language Model (LLM) Systems Paper List
jihoo-kim/awesome-production-llm
A curated list of awesome open-source libraries for production LLM
hamzafarooq/advanced-llms-course
Code files for advanced LLM Course
tevslin/meeting-reporter
Human-AI collaboration to produce a newstory about a meeting from minutes or transcript
run-llama/gmail-extractor
danvega/spring-ai-workshop
Spring AI Workshop
viai957/llama-inference
A simple implementation of Llama 1, 2. Llama Architecture built from scratch using PyTorch all the models are built from scratch that includes GQA (Grouped Query Attention) , RoPE (Rotary Positional Embeddings) , RMS Norm, FeedForward Block, Encoder (as this is only for Inferencing the model) , SwiGLU (Activation Function),