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Migrate to a modern data platform with Google Cloud's BigQuery and Dataproc incentives.

Optimizing Salesforce Einstein's code generating model performance with Amazon SageMaker

Enhance query performance in Databricks using Primary Key and Foreign Key constraints

Introducing Codestral by Mistral AI on Vertex AI for code generation tasks

Enhancing end-to-end speech recognition through federated learning with differential privacy.

Exploring how randomization in AI decision-making can enhance fairness in allocating scarce resources.

Meta introduces new Llama 3.1 models, the largest open-source foundation model, rivaling GPT-4 performance with fewer parameters, emphasizing the shift towards open-source AI development.

Improving availability through tools like Datadog, Splunk, Scientist, Flipper, and MySQL monitoring

Meta introduces Llama 3.1 models, heralding a new era of open source AI, rivaling proprietary models' performance with lower cost options and Day 1 availability on various platforms.

Advanced private density estimation using Wasserstein distance with instance-optimal algorithms for practical settings.

Meta's new Llama 3.1 models revolutionize open source AI and offer enterprise flexibility for AI development stack.

Innovative research by MIT on advancing automated interpretability in AI models through the development of 'MAIA' system.