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Gemma 3n models are multimodal by design and available in two sizes that operate with as little as 2GB and 3GB of memory, Google said.
Use the Python version of Google's agent development toolkit to quickly develop AI-powered agents with diverse workflows.
Developers have nothing to fear from generative AI, but self-cultivation is key.
Someday, we won’t even look at the code that our AI agent produces. We’ll take it for granted, just as we do the assembly code in our software today.
AI Runners connect models running on local machines or private servers directly to Clarifai’s cloud-based AI platform.
The ECMAScript 2025 specification, now final, standardizes new JavaScript capabilities including JSON modules, regex capabilities, Set methods, and sync iterator helper methods.
InfoWorld awards recognize the best products in software development, cloud computing, data analytics, and AI/ML. Final submission deadline has been extended to Friday August 22.
Large language models fail at hard and medium difficulty problems where they can’t stitch together well-known templates. You should still use them.
An introduction to the open-source LMOS platform and its Kotlin-based Arc framework for building, deploying, and managing cloud-native, multi-agent AI systems.
Update also stabilizes OpenTelemetry support and eases dependency management with a new ‘deno update’ command.