Check out a handful of AI-related things today, including app building advice, new capabilities, and an architectural view of an AI platform. Have a great weekend!
[blog] Introducing the File Search Tool in Gemini API. While we offer an amazing input context window, you don’t want to keep shoving tons of content into each request. With this new Gemini API feature, we just made RAG absolutely trivial.
[blog] Google’s Gemini Models on Databricks. You can use all sorts of models with Databricks, but I’m glad everyone now has access to the best one 🙂
[article] Survey: Where AI Reduces Toil and Where It Still Falls Short. There’s still a lot of toil out there, even when AI is available. Tool sprawl also seems out of control!
[article] Sam Altman says OpenAI has $20B ARR and about $1.4 trillion in data center commitments. I’m no mathematician, but doesn’t seem to exactly add up. But hey, smarter people than me are don’t seem too worried about it.
[blog] Your First AI Application is Easier Than You Think. Yes it is. This blog post refers to a codelab that you can follow along with to build your confidence as an AI app builder.
[blog] Announcing User Simulation in ADK Evaluation. I really like this functionality. It’s baked into the Agent Development Kit, and lets you define a high level goal and use the LLM to dynamically produce the user side of the conversation to pursue that goal.
[blog] Prototypes vs Products. Different goals and mindset for each. Marty clarifies here and tries to keep product managers from embarrassing themselves.
[blog] Announcing the Agent Development Kit for Go: Build Powerful AI Agents with Your Favorite Languages. Go devs are getting some great frameworks for building AI apps and AI agents. Check this one out.
[article] The Production Generative AI Stack: Architecture and Components. Good look at an AI/ML stack. Not necessarily an AI agent or app stack, but some overlap.
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