Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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YCombinator profile provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
🔭 The Einstein AI model provides machine-learning models, research, training resources, or evaluation tools.
Wiki LLM List is a Wikipedia reference page for background information, comparisons, and linked sources.
Creates, rewrites or summarizes written content with language models.
Creates or edits images with generative models and visual controls.
Creates, rewrites or summarizes written content with language models.
A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
Creates, rewrites or summarizes written content with language models.
A comprehensive set of fairness metrics for datasets and machine learning models.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Understand how large language models work under the hood.
ArtificialStudio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
An overview of the current attack techniques on LLMs by Marcello Carboni.
Deploy and serve machine learnings models performantly, scalably, and cost-efficiently with Baseten.
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
Accessible large language models via k-bit quantization for PyTorch.
"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".
Creates, rewrites or summarizes written content with language models.
Turns models into ML-friendly containers that run just about anywhere.