zzak00

zzak00's Stars

• daveebbelaar/langfuse-self-hosted

  1911

• NirDiamant/Prompt_Engineering

  This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.

  Language:Jupyter Notebook1.4k142

• hayo03/Dialogflow-CX-Start-Tutorial

  Language:Python133

• langchain-ai/langchain-academy

  Language:Jupyter Notebook271202

• emarco177/langgaph-course

  Language:Python21669

• QwenLM/Qwen2-VL

  Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

  Language:Python2.8k169

• 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.

  Language:Jupyter Notebook8.2k825

• microsoft/graphrag

  A modular graph-based Retrieval-Augmented Generation (RAG) system

  Language:Python18.6k1.8k

• BastinFlorian/RAG-on-GCP-with-VertexAI

  Create a Chatbot app on your own data with GCP tools

  Language:Python3913

• feder-cr/Auto_Jobs_Applier_AIHawk

  Auto_Jobs_Applier_AIHawk is a tool that automates the jobs application process. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized way.

  Language:Python21.1k3.1k

• opendatalab/PDF-Extract-Kit

  A Comprehensive Toolkit for High-Quality PDF Content Extraction

  Language:Python5.2k353

• zzak00/Disease-Symptom-Prediction-Chatbot

  Healthcare system to predict Diseases based on patient symptoms

  Language:Jupyter Notebook4416

• OpenBMB/MiniCPM-V

  MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

  Language:Python12.4k869

• PrithivirajDamodaran/FlashRank

  Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

  Language:Python63445

• guardrails-ai/guardrails

  Adding guardrails to large language models.

  Language:Python4k306

• Filimoa/open-parse

  Improved file parsing for LLM’s

  Language:Python2.5k98

• unslothai/unsloth

  Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

  Language:Python17.5k1.2k

• adithya-s-k/omniparse

  Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks

  Language:Python5.3k446

• ray-project/llmperf

  LLMPerf is a library for validating and benchmarking LLMs

  Language:Python624105

• VikParuchuri/marker

  Convert PDF to markdown quickly with high accuracy

  Language:Python17.4k992

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  29.5k1.6k

• AnswerDotAI/rerankers

  A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

  Language:Python1k57

• langgenius/dify

  Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

  Language:TypeScript50.1k7.2k

• leobeeson/llm_benchmarks

  A collection of benchmarks and datasets for evaluating LLM.

  29220

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook38.6k4.1k

• huggingface/alignment-handbook

  Robust recipes to align language models with human and AI preferences

  Language:Python4.6k403

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook14.4k2.1k

• axolotl-ai-cloud/axolotl

  Go ahead and axolotl questions

  Language:Python7.8k863

• Instruction-Tuning-with-GPT-4/GPT-4-LLM

  Instruction Tuning with GPT-4

  Language:HTML4.2k301

• defog-ai/sqlcoder

  SoTA LLM for converting natural language questions to SQL queries

  Language:Jupyter Notebook3.4k213