Google merged its independent research groups like DeepMind and Google Brain to focus on the horizontal value of large language models like Gemini.
The rapid release of numerous AI models creates overwhelm, which can be solved with product features like personalized benchmarks to help developers choose the right tool.
While domain-specific models have their place, powerful general-purpose models often provide a better balance of world knowledge and capability with less development effort.
It's easy to create a simple AI demo, but the "last mile" to a reliable production application is difficult due to unpredictable model behavior and a lack of mature infrastructure.
High API costs are a major barrier for developers, which Gemini addresses by optimizing for cost-per-intelligence and offering a generous free tier for experimentation.
Developers prefer model-agnostic infrastructure to avoid lock-in, so platforms like Google AI Studio are designed as starting points to get an API key and then build elsewhere.
AI model availability is often limited by regional politics and legal frameworks, while developers must also consider the ethical implications of web scraping for data.
Multimodal models like Gemini 1.5 Pro excel at video understanding, enabling developers to unlock and analyze vast amounts of knowledge previously trapped in video files.
The most effective AI integrations are invisible to the user and work in the background to provide value, rather than being a flashy, explicit feature.
Google's open source Gemma models allow developers to run AI workloads locally, addressing privacy concerns and practical limitations of uploading large datasets.
The new Live API allows developers to build AI agents that can see and hear user context through screen sharing, enabling more powerful and context-aware interactions.
Instead of simple chatbots, AI can act as a virtual coworker that guides users through complex software like Photoshop or an IDE, improving onboarding and usability.
Developers can start building with Gemini for free at ai.dev, using SDKs for popular languages like Python and TypeScript to accelerate learning and build more ambitious projects.
50:12Sam Witteveen
47:25
59:16Ryan J Salva
42:26Meta Atamel & Guillaume Laforge
33:51Thomas Steiner
38:19
35:01Angie Jones, Kent C Dobbs, Liran Tal & Chris Heilmann
34:48Maria Apazoglou
Jobs that call for the skills explored in this talk.
Gemma Analytics
Google Inc
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Barcelona, Spain