engblogs

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.

Introducing materialized views and streaming tables in Databricks SQL for AWS and Azure.

Introducing LakehouseIQ: An AI-powered engine that understands and leverages the specifics of your business and data

Data teams addressing challenges of data fragmentation, consolidation time, and cost in accessing the right data through Lakehouse Federation capabilities in Unity Catalog.

The blogpost discusses the updates and advancements in the Unity Catalog at the Data and AI Summit 2023, highlighting the importance of governance principles in data management.