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This guide covers best practices and advanced techniques for prompting Google's Lyria 3 and Lyria 3 Pro music generation models via Vertex AI.
This article explores how to design transparent interfaces for agentic AI systems by identifying critical decision points and balancing user information needs.
This article introduces AutoMemoryTools, a file-based persistent memory toolkit for Spring AI agents that survives across sessions.
Spotify and Anthropic hosted a fireside chat on agentic development, sharing practical insights from building AI-first engineering workflows at scale.
Meta built a pre-compute engine with 50+ specialized AI agents to systematically document tribal knowledge in a 4,100-file data pipeline spanning three languages.
Google's seventh-generation Ironwood TPU achieves a 3.7x improvement in Compute Carbon Intensity (CCI) compared to TPU v5p, demonstrating significant carbon efficiency gains in AI infrastructure.
This post introduces an AI-powered audience segmentation solution built on Databricks that uses a multi-agent architecture to bridge the gap between advertising strategy and data execution.
This article describes Netflix's multimodal video search system designed to help filmmakers quickly locate specific moments across massive media archives.
Amazon Bedrock Guardrails now supports cross-account safeguards with centralized control across multiple AWS accounts.
Google introduces Veo 3.1 Lite, a cost-effective video generation model on Vertex AI, alongside a new standalone video upscaling capability.
AiChemy is a multi-agent AI assistant built on Databricks that integrates MCP servers and custom chemical libraries to accelerate drug discovery workflows.
Gemma 4 is a new generation of lightweight AI models by Google, now available on Docker Hub as OCI artifacts for streamlined deployment.
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