Google's Agent-to-Agent (A2A) & OpenAI's Agentic Guidelines | Building Real-Time Voice RAG

Описание: In this session, we're diving deep into the frameworks and guidelines that power the next generation of AI. We start with a discussion on OpenAI's "Atlas" browser and its agentic capabilities, followed by an overview of a new course on Data Governance in AI.

The core of our session will explore two major agentic frameworks: Google's "A2A" (agent-to-agent) protocol and the newly released agentic guidelines from OpenAI. We'll also get an update on the "Peachy" (reachy_mini) robotics project.

Finally, we'll get practical with a look at building Voice RAG (Retrieval-Augmented Generation) applications. We'll cover Google Search Grounding and Vertex AI Search Grounding quickstarts, and explore Google's ADK (Agent Development Kit) voice samples for real-time bidirectional audio streaming.

What We'll Cover:
🤖 Robot Update: Peachy (reachy_mini): The latest news from the Pollen Robotics open-source project.

🌐 OpenAI Atlas Browser: A discussion on OpenAI's new agent-powered web browser.

⚖️ Data Governance in AI: Key takeaways from a new course on this critical topic.

🤝 Google's A2A (Agent-to-Agent): An exploration of Google's new protocol for inter-agent communication.

📜 Agentic Guidelines from OpenAI: A breakdown of OpenAI's official slides and best practices for building agents.

🗣️ Voice RAG & Grounding:

Examples of real-time voice RAG.

Quickstarts for Google Search Grounding and Vertex AI Search Grounding.

Using Google's ADK for bidirectional streaming audio.

Resources:
Peachy (reachy_mini) Repo: https://github.com/pollen-robotics/re...

Host: Mark Kerzner (  / markkerzner  )

ElephantScale Webinars: https://elephantscale.com/webinars/

Keywords:
Google A2A, Agent to Agent, OpenAI, Agentic Guidelines, Voice RAG, Google ADK, Vertex AI Search Grounding, Google Search Grounding, Data Governance, OpenAI Atlas, Peachy, Pollen Robotics, Reachy Mini, Bidirectional Streaming, AI Agents.

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