Mete Atamel
Mete is a Developer Advocate at Google, focused on helping developers with Google Cloud. As a long-time Java and C# developer, he likes to compare the two ecosystems. Prior to Google, he worked at Microsoft, Skype, Adobe, EMC, and Nokia building apps and services on various web, mobile and cloud platforms. Originally from the island of Cyprus, he currently lives in Greenwich of London, not too far away from the prime meridian.
Talks
Tour of Agent Protocols: MCP, A2A, AG-UI, A2UI
There are many emerging protocols around agents. Model Context Protocol (MCP) standardizes how models and agents access external tools and resources. Agent2Agent Protocol (A2A) defines how agents running on diverse frameworks and platforms communicate. Agent to User Interface Protocol (A2UI) defines how agents generate UI and Agent-User Interaction Protocol (AG-UI) defines how agents communicate with frontends. In this session, we’ll deep-dive into each protocol and show how they complement each other. As a bonus, we’ll also see demos on how to use these protocols in agent frameworks such as Agent Development Kit (ADK) to give you practical knowledge to start building your own interoperable agents.
Techniques to avoid common LLM pitfalls
It’s easy to generate content with a Large Language Model (LLM), but the output often suffers from hallucinations (fake content), outdated information (not based on the latest data), reliance on public data only (no private data), and a lack of citations back to original sources. Not ideal for real-world applications. In this talk, we’ll provide a quick overview of the latest advancements in multi-modal LLMs, highlighting their capabilities and limitations. We’ll then explore various techniques to overcome common LLM pitfalls, including Retrieval-Augmented Generation (RAG) to enhance prompts with relevant data, ReACT prompting to guide LLMs in verbalizing their reasoning, Function Calling to grant LLMs access to external APIs, and Grounding to link LLM outputs to verifiable information sources, and more.