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New integrations between Databricks and Posit simplify Lakehouse access for developers, providing a streamlined development experience for R and Python developers.

Estimating customer lifetime value on the Lakehouse and its implications for profits

The blogpost discusses the importance of using societal context knowledge in the responsible application of AI, particularly in the problem understanding phase of AI product development, to address issues such as biased algorithms and incomplete problem understanding.

Highlights and recordings from Apple's Workshop on Natural Language Understanding, discussing the state of the art in NLU.

Efficiently train, tune, and deploy custom ensembles using Amazon SageMaker for artificial intelligence and machine learning models.

Enel discusses automating power grid asset management and anomaly detection using Amazon SageMaker.

A blogpost explaining the new feature of custom instructions for ChatGPT, allowing users to have more control over the AI's responses and preferences.

Google DeepMind researchers presenting over 80 new papers at ICML 2023

Building better GenAI through programmatic data development enhances performance of large language models for generative AI tasks by using weak supervision and automated curation techniques.

Using weak supervision to programmatically curate instruction tuning data for open-source LLMs to build a better GenAI.

Using weak supervision, we programmatically curated instruction tuning data for open-source LLMs to build a better GenAI.

Databricks has completed the acquisition of MosaicML, a platform for generative AI model creation and customization.