ColdFusion2001

ColdFusion2001's Stars

• 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 Notebook13.8k170221.4k

• mshumer/gpt-prompt-engineer

  Language:Jupyter Notebook9.5k8730662

• hijkzzz/Awesome-LLM-Strawberry

  A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

  6.6k10712365

• OpenRLHF/OpenRLHF

  An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)

  Language:Python6k35572596

• ridgerchu/matmulfreellm

  Implementation for MatMul-free LM.

  Language:Python3k4635185

• mintisan/awesome-kan

  A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

  2.8k5814263

• argilla-io/distilabel

  Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

  Language:Python2.6k23467188

• RUC-NLPIR/FlashRAG

  ⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

  Language:Python2.1k13115183

• GAIR-NLP/O1-Journey

  O1 Replication Journey

  2k371565

• wasiahmad/Awesome-LLM-Synthetic-Data

  A reading list on LLM based Synthetic Data Generation 🔥

  1.2k15170

• google-ai-edge/model-explorer

  A modern model graph visualizer and debugger

  Language:JavaScript1.2k348098

• FullStackRetrieval-com/RetrievalTutorials

  Language:Jupyter Notebook1.1k79183

• OpenLMLab/LOMO

  LOMO: LOw-Memory Optimization

  Language:Python982127170

• NousResearch/DisTrO

  Distributed Training Over-The-Internet

  89396231

• EdinburghNLP/awesome-hallucination-detection

  List of papers on hallucination detection in LLMs.

  81425464

• kuleshov-group/llmtools

  Finetuning Large Language Models on One Consumer GPU in 2 Bits

  Language:Python720132276

• jina-ai/late-chunking

  Code for explaining and evaluating late chunking (chunked pooling)

  Language:Python357121238

• sangmichaelxie/doremi

  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets

  Language:HTML31643033

• xjtushujun/meta-weight-net

  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

  Language:Python28571569

• samkhur006/awesome-llm-planning-reasoning

  A curated collection of LLM reasoning and planning resources, including key papers, limitations, benchmarks, and additional learning materials.

  2498212

• michaelhodel/arc-dsl

  Domain Specific Language for the Abstraction and Reasoning Corpus

  Language:Python24811551

• gabrielchua/daily-ai-papers

  All credits go to HuggingFace's Daily AI papers (https://huggingface.co/papers) and the research community. 🔉Audio summaries here (https://t.me/daily_ai_papers).

  Language:Python1665213

• CASIA-LM/MoDS

  Language:Python1371613

• yuchenlin/ZeroEval

  A simple unified framework for evaluating LLMs

  Language:HTML1291818

• bminixhofer/zett

  Code for Zero-Shot Tokenizer Transfer

  Language:Python12521110

• jxbz/modula

  Scalable neural net training via automatic normalization in the modular norm.

  Language:Jupyter Notebook121419

• logix-project/logix

  AI Logging for Interpretability and Explainability🔬

  Language:Python1089338

• KhoomeiK/complexity-scaling

  gzip Predicts Data-dependent Scaling Laws

  Language:Python34313

• snu-mllab/Targeted-Cause-Discovery

  Official implementation for "Targeted Cause Discovery with Data-Driven Learning"

  Language:Python23102

• alexandertheus/Intra-Fusion

  Towards Meta-Pruning via Optimal Transport, ICLR 2024 (Spotlight)

  Language:Python16100