This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.

Web-Scale Blockchain for fast, secure, scalable, decentralized apps and marketplaces.

An open autonomous driving platform

🍄 Build your own voxel games with Voxelize! Multiplayer, optimized, highly customizable full stack library.

A curated list of awesome LLM for Autonomous Driving resources (continually updated)

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

A Self-adaptation Framework🐙 that adapts LLMs for unseen tasks in real-time!

LLM inference in C/C++

[NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.

哔哔君 - 哔哩哔哩字幕列表浏览器扩展，功能包括点击跳转，下载字幕，总结字幕，翻译字幕等。

This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headles…

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

A fast tool to convert any website into LLM-ready markdown data. Built by https://supermemory.ai

Python scraper based on AI

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper

A quick guide (especially) for trending instruction finetuning datasets

[NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas

General technology for enabling AI capabilities w/ LLMs and MLLMs

LLM code

Code and results accompanying the paper "Refusal in Language Models Is Mediated by a Single Direction".

Foundation Model for MineDojo

LLM-powered multiagent persona simulation for imagination enhancement and business insights.

A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.

Code for the paper "Evaluating Large Language Models Trained on Code"