Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
7B Large Language Model fine-tune by 34B Chinese Character Corpus, based on LLaMA and Alpaca.
Official inference framework for 1-bit LLMs, by Microsoft. opensource.
Accessible large language models via k-bit quantization for PyTorch.
BigScience Large Open-science Open-access Multilingual Language Model.
"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".
Role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT.
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
A curated list of language modeling researches for code and related datasets.
Open Code LLMs for Code Understanding and Generation.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Teaching LLMs memory management for unbounded context [[demo page]](https://memgpt.ai/) [[arxiv]](https://arxiv.org/abs/2310.08560).
Open source web crawler built for extracting clean website data for AI and LLM workflows.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
Drag & drop UI to build your customized LLM flow using LangchainJS.
Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code.
AI code reviewer for GitHub Actions or local use, compatible with any LLM and integrated with Jira/Linear.
"a collaborative benchmark intended to probe large language models and extrapolate their future capabilities".