Highlights
- Pro
Stars
kani (カニ) is a highly hackable microframework for tool-calling language models. (NLP-OSS @ EMNLP 2023)
Complete toolkit for developers building LLM applications.
A CLI to run reproducible evaluation across EuroHPC clusters
SegEval Segmentation Evaluation Package
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Awesome GUI Agent Paper List
SGLang is a high-performance serving framework for large language models and multimodal models.
This repository contains demos I made with the Transformers library by HuggingFace.
A bibliography and survey of the papers surrounding o1
A reading list on LLM based Synthetic Data Generation 🔥
The only open-source toolkit that can download SEC EDGAR financial reports and extract textual data from specific item sections into nice & clean structured JSON files. Presented at WWW 2025 @ Sydn…
This repository contains all the relevant data and code files for DLT Project
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Optimizing inference proxy for LLMs
A collection of datasets for language model pretraining including scripts for downloading, preprocesssing, and sampling.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess finan…
A high-throughput and memory-efficient inference and serving engine for LLMs
[TMLR 2024] Efficient Large Language Models: A Survey
https://acl2023-retrieval-lm.github.io/
Must-read Papers on Knowledge Editing for Large Language Models.
The ParroT framework to enhance and regulate the Translation Abilities during Chat based on open-sourced LLMs (e.g., LLaMA-7b, Bloomz-7b1-mt) and human written translation and evaluation data.
🔥Highlighting the top ML papers every week.
This is the GitHub page for publicly available emotional speech data.
DSPy: The framework for programming—not prompting—language models



