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DeepSeek, and the open source AI ecosystem surrounding it, has rapidly evolved from a ‘moment’ into an unstoppable global force.
Turns out you really can build a decentralized AI system that operates successfully across multiple public cloud providers. It’s both challenging and costly.
Enterprises need to think carefully before adopting the API for the xAI’s newest LLM, which is still only available in beta.
DeepSeek and OpenAI’s o1 models performed the best across the various benchmarks, but all models still struggle in a range of tasks, so there is much more work to be done.
Cloud-based development environment leverages tools such as Project IDX, Genkit, and Gemini in Firebase to build, test, and run AI applications.
The agents integrated with BigQuery, Looker, and Colab will come at no additional cost, the company said.
DSPy shifts the paradigm for interacting with models from prompt hacking to high-level programming, making LLM applications far easier to maintain and optimize.
Security campaigns available with the Copilot Autofix tool aim to manage risk and increaase collaboration between developers and security teams.
Vertex AI is also getting a new Agent Engine for deploying and maintaining agents or multi-agent systems.
The open protocol is designed to automate complex workflows that span multiple systems, increasing productivity and reducing integration costs.