Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.
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Updated
Jan 29, 2023 - Python
Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.
Policies of scientific publisher and conferences towards large language model (LLM), such as ChatGPT
ChatGPT, but better. And in Minecraft.
Implementation of Toolformer: Language Models Can Teach Themselves to Use Tools
Vicuna 7B is a large language model that runs in the browser. Exposes programmatic access with minimal configuration.
⚡Research papers about leveraging the capabilities of language models⚡
Contextual Object Detection with Multimodal Large Language Models
A Discord Bot for chatting with LLaMA, Vicuna, Alpaca, MPT, or any other Large Language Model (LLM) supported by text-generation-webui or llama.cpp.
Multi-User Chatbot with Langchain and Pinecone in Next.JS
ChatWithDB: Transforming databases into conversational partners using LLMs and Django Rest Framework API. Accepts user input, finds similar database entries, and crafts human-like responses from LLMs. Supports multiple databases.
Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"
Shepherd: A foundational framework enabling federated instruction tuning for large language models
Exploring building an application in which an LLM can be prompted with the addition of context from a customly managed knowledge bank of data.
Ruby library for PromptJoy
Transform Video as a Document with ChatGPT, CLIP, BLIP2, GRIT, Whisper, LangChain.
Repository for Chat LLaMA - training a LoRA for the LLaMA (1 or 2) models on HuggingFace with 8-bit or 4-bit quantization. Research only.
Clinically Adapted Model Enhanced from LLaMA
Create your own ChatGPT with Python
The open-source repository llm.gallery aggregates research & development content about Large Language Models (LLMs). Explore curated academic papers, community contributions, and educational content on LLM and related topics.
Document Summarization App using large language model (LLM) and Langchain framework. Used a pre-trained T5 model and its tokenizer from Hugging Face Transformers library. Created a summarization pipeline to generate summary using model.
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