Deep Research Max: a step change for autonomous research agents

Google for Developers · Advanced ·🧠 Large Language Models ·3h ago
Built with Gemini 3.1 Pro, the new Deep Research agents bring MCP support, native visualizations and unprecedented analytical quality to long-horizon research workflows across the web or custom sources. Subscribe to Google for Developers → https://goo.gle/developers Speaker: Thor Schaeff Products Mentioned: Google AI, Gemini
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
Big Tech firms are investing heavily in AI, focusing on safety and responsible adoption, and regulators are taking notice, which is crucial for the future of AI development
Dev.to AI
I Swapped All-in-One Prompts for a Modular Instruction Set (and Why You Should Too)
Learn how to improve LLM performance by switching from all-in-one prompts to a modular instruction set and discover the benefits of this approach
Medium · LLM
Why LLM Memory Fails Over Time — And What I Did About It
Learn how LLM memory fails over time due to drift and discover a solution to mitigate this issue
Medium · Machine Learning
Why LLM Memory Fails Over Time — And What I Did About It
Learn how LLM memory fails over time due to drift and how to address it with practical steps
Medium · Programming
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →