gpt4

Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling

A simple and declarative way to control LLMs

An API for DALLE-3

Python package that provides (unofficial) API access to the GPT-4 through chat.openai.com. Works with langchain. Supports search DALL-E 3, plugins, continuing generation.

ChatGPT Copilot Extension for Visual Studio Code

Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.

Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊

Implementation of PALI3 from the paper PALI-3 VISION LANGUAGE MODELS: SMALLER, FASTER, STRONGER"

ChatGPT API Usage using LangChain, LlamaIndex, Guardrails, AutoGPT and more

AutoBrowse is an autonomous AI agent that can perform web browsing tasks.

My implementation of "Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models"

让 AI 设计 AI，让大模型帮助小模型进化，用魔法创造魔法！ Empower Artificial Intelligence to sculpt its own kind, where colossal models gracefully usher the petite ones into evolution, weaving magic to conjure further enchantment!

Democratization of "PaLI: A Jointly-Scaled Multilingual Language-Image Model"

✨ Make your LLM prompts executable and version controlled. ✨

AskIt: Unified programming interface for programming with LLMs (GPT-3.5, GPT-4, Gemini, Claude, Cohere, Llama 2)

An benchmark for evaluating the capabilities of large vision-language models (LVLMs)

My implementation of Kosmos2.5 from the paper: "KOSMOS-2.5: A Multimodal Literate Model"

Python Streamlit web app utilizing OpenAI (GPT4) and LangChain LLM tools with access to Wikipedia, DuckDuckgo Search, and a ChromaDB with previous research embeddings. Ultimately delivering a research report for a user-specified input, including an introduction, quantitative facts, as well as relevant publications, books, and youtube links.

Web app enabling users to either record or upload audio files. Then utilizing OpenAI API (Whisper, GPT4) generates transcriptions, summaries, fact checks, sentiment analysis, and text metrics. Users can also intelligently chat about their transcriptions with a GPT4 chatbot. Data is stored relationally in SQLite and also vectorized in Pinecone.

Generating and validating natural-language explanations for the brain.