Creates, rewrites or summarizes written content with language models.
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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.
Cherry Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
Cohere provides access to advanced Large Language Models and NLP tools.
Cohere provides access to advanced Large Language Models and NLP tools.
Creates, rewrites or summarizes written content with language models.
Track your datasets, code changes, experimentation history, and models.
Creates or edits images with generative models and visual controls.
Creates, rewrites or summarizes written content with language models.
A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
Deploy, manage, and scale machine learning models in production.
Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.