Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

LangGraph Studio template for creating an agent that does web research to genearte or enrich structured data.

GenAI Cookbook

FastAPI Best Practices and Conventions we used at our startup

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Port of OpenAI's Whisper model in C/C++

LLM101n: Let's build a Storyteller

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Text and code for the second edition of Think Bayes, by Allen Downey.

A beautiful, simple, clean, and responsive Jekyll theme for academics

Understanding Deep Learning - Simon J.D. Prince

Task-based Agentic Framework using StrictJSON as the core

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

Causal Inference and Discovery in Python by Packt Publishing

a state-of-the-art-level open visual language model | 多模态预训练模型

Reliability diagrams visualize whether a classifier model needs calibration

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

Measuring Massive Multitask Language Understanding | ICLR 2021

Measuring Massive Multitask Language Understanding | ICLR 2021

Salesforce open-source LLMs with 8k sequence length.

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.

Code for ACL 2023 paper "A Close Look into the Calibration of Pre-trained Language Models"

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

Simple UI for LLM Model Finetuning