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The blogpost announces the first Machine Unlearning Challenge, which aims to develop efficient, effective, and ethical unlearning algorithms to remove the influence of specific training examples from machine learning models while maintaining model utility and generalization.

Discover 7 Spanish words that cannot be fully translated into English!

Guide on how to use Italian language to order food in Italy

Exploring whether quantization difficulties at scale can be altered and conditioned by optimization choices in Large Language Models (LLMs).

A guide on creating and utilizing custom command models with a focus on finetuning and its advantages.

Learn how to leverage Cohere's Command model in Amazon SageMaker Studio with the help of Amazon SageMaker JumpStart.

This technical blogpost introduces CoarsenConf, an SE(3)-equivariant hierarchical variational autoencoder (VAE) that generates low-energy 3D molecular conformers by pooling information from fine-grain atomic coordinates to a coarse-grain subgraph level representation for efficient autoregressive generation.

Fine-tuning Falcon-40B and other LLMs using QLoRA on Amazon SageMaker Studio notebooks

Recommendation and dynamic filtering of items based on user context in Amazon Personalize

Exploring the innovative capabilities of OpenAI's new London branch

A data-centric approach to building generative AI applications with a focus on Databricks' AI innovations.

Databricks introduces open source data sharing and collaboration for Lakehouse, enabling live data set sharing across data, analytics, and AI.