🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

Financial Sentiment Analysis with BERT

A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

GPT4 & LangChain Chatbot for large PDF docs

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

High-Resolution Image Synthesis with Latent Diffusion Models

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

An Open-source Toolkit for LLM Development

Compute FID scores with PyTorch.

[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.

Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"

The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models

[EMNLP 2018] Training for Diversity in Image Paragraph Captioning

The code and output of our AAAI paper "Knowledge-Enriched Visual Storytelling"

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

Visual Storytelling API

Dense image captioning in Torch

A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

A guidance language for controlling large language models.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Allows to scale the ChatGPT API to multiple simultaneous sessions with infinite contextual and adaptive memory powered by GPT and Redis datastore.

A curated list of reinforcement learning with human feedback resources (continually updated)

LangChain 的中文入门教程

[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.