Fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth.
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Creates, rewrites or summarizes written content with language models.
Interactive timeline visualization made by Information Is Beautiful.
The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together.
The Hugging Face Open LLM Leaderboard provides machine-learning models, research, training resources, or evaluation tools.
The Generative AI Landscape provides machine-learning models, research, training resources, or evaluation tools.
A Collection of Awesome Generative AI Applications.
Generative AI will enrich investors and be deployed against everyone else.
And alternative suggestions for design research.
Creates, rewrites or summarizes written content with language models.
Example of how the neural network learns to predict the angle between two points created with Synaptic.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
Creates, rewrites or summarizes written content with language models.
Just like the IKEA Effect, but for the AI products. Try not to overenginner when working with LLMs.
The MIT AI Risk Initiative produces authoritative data and frameworks to help you identify, prioritize, and manage the risks from AI.
Flexible, high-performance serving system for machine learning models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
Creates, rewrites or summarizes written content with language models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Large Language Model Text Generation Inference.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
The @testdriverai in any GitHub repo and TestDriver writes UI tests and catches regressions before they merge. AI-powered end-to-end testing.
Coding agents help developers plan, implement, review, test, and debug software. For independent capability comparisons, see SWE-bench and.