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ai-AI21-Industry-Samples

This repository gives sample code for using AI21 Generative AI solutions for industry applications

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ai-AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

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ai-chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

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ai-evo.ninja

A versatile generalist agent. Great UI for an agent

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ai-excalidraw

Virtual whiteboard for sketching hand-drawn like diagrams

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ai-Fine-Tuning-Memorisation-Experiement-GPT-35

Use of a fine-tuned model GPT 3.5

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ai-generative-ai-for-beginners

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

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ai-gpt-2-tensorflow

Code for the paper "Language Models are Unsupervised Multitask Learners"

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ai-gpt-computer-assistant-gpt4o-multimodal

gpt-4o for windows, macos and linux

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ai-hibou

Hibou: Foundational Models for Pathology

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ai-jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

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ai-lightning-thunder

Make PyTorch models Lightning fast! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once.

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ai-litdata

Streamline data pipelines for AI. Process datasets across 1000s of machines, and optimize data for blazing fast model training.

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ai-llama3-from-scratch

llama3 implementation one matrix multiplication at a time

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ai-LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

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ai-llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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ai-LLMs-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

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ai-LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

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ai-micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

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ai-mobile-app-speak-gpt

Your personal voice assistant based on OpenAI ChatGPT.

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ai-papers-for-molecular-design-using-DL

List of molecular design using Generative AI and Deep Learning

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AI-PMC-VQA

PMC-VQA is a large-scale medical visual question-answering dataset, which contains 227k VQA pairs of 149k images that cover various modalities or diseases.

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ai-rag-from-scratch-langchain

rag from scratch using langchain, chromadb, etc

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ai-slides-reveal.js

The HTML Presentation Framework

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ai-vllm-fast-inference

A high-throughput and memory-efficient inference and serving engine for LLMs

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ai-whisper

Robust Speech Recognition via Large-Scale Weak Supervision

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langchain

🦜🔗 Build context-aware reasoning applications

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litgpt

Pretrain, finetune, deploy 20+ LLMs on your own data. Uses state-of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.

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llama.cpp

LLM inference in C/C++

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