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Leverage Llama 3.1 405B model to generate synthetic data for fine-tuning tasks in AI/ML applications

AWS AI chips enhance performance and reduce costs for deploying Llama 3.1 models on AWS

Innovative materials for green energy technologies with fast proton conduction capabilities identified through simulations

Meta's Llama 3.1, a powerful AI model family, is now available on Google Cloud with flexible deployment options.

Meta Llama 3.1 introduces multilingual support, native function calling, and embedded function calling on Workers AI

Explore the new standard in open source AI with Meta Llama 3.1 on Databricks, featuring advanced capabilities for building GenAI applications.

Building Industry IoT and M2M Solutions with Databricks for Communications focuses on challenges and solutions in creating DIY Data and AI solutions for industry IoT and M2M use cases, emphasizing the collaboration between Databricks and CSPs.

Migrating to Unity Catalog for Data Governance at Databricks

Exploring the reasons behind homophones in languages and how pronunciation, borrowing, and evolving meanings contribute to similar-sounding words.

Analyzing human generalization and misalignment with large language models

Implementing Grading Notes for High-Quality LLM-as-a-Judge Evaluation in Specialized Domains

Unveiling the successful migration journey from Amazon EC2 to Kubernetes for Trino workloads by enhancing performance, scalability, and cost efficiency.