Welcome Note

A fireside chat between Euro and Thomas about Agents, their challenges and their future

In this segment, the Panel will dive into the evolving landscape of AI, where large language models (LLMs) power the next wave of intelligent agents. In this engaging panel, leading investors Meera (Redpoint), George (Sequoia), and Sandeep (Prosus Ventures) discuss the promise and pitfalls of AI in production. From transformative industry applications to the challenges of scalability, costs, and shifting business models, this session unpacks the metrics and insights shaping GenAI's future. Whether you're excited about AI's potential or wary of its complexities, this is a must-watch for anyone exploring the cutting edge of tech investment.

A Virtual Tour of the Generative AI Art Exhibits at the NXT Museum

In our journey from concept to production, we focused on delivering consistent behaviors to build user trust. This talk will cover the design and refinement of AI systems using agentic frameworks and deterministic components, emphasizing the integration of continuous learning and human oversight.

A real conversation with a real-life AI model. Let's see what llama 3.2 has to say

In this talk, I will discuss both practical issues and technical fundamentals of coding agents. This will include both the promise of what coding agents may be able to do if they are implemented properly, what tasks they can do well now, some challenges in using the appropriately, and some of the challenges that we need to solve to make them more effective -- file localization, file editing, planning, error recovery, and "good taste". I will also give a few demos of our open-source OpenHands toolkit (https://github.com/All-Hands-AI/OpenHands) to illustrate each of the points.

OLX has a catalog of millions of unique items across a very diverse range of categories. While existing technologies for navigating this assortment are reasonably effective, LLMs offer the potential for a much improved user experience. In this session, we will talk about how we utilized the Agentic flow to transform a customer’s standard search on OLX into something highly personal, fully reflecting the customer’s demands and feelings. Aside from Generative AI, we will also share how we redesigned the search pipeline to work well with agentic architecture. And lastly, we will talk about some lessons learned along the way!

We will be debating the top predictions of where AI Agents will be going in the next year.

In this fireside chat, we explore the transformative role of generative AI in modern business workflows. We'll discuss strategies for integrating generative AI seamlessly into existing business processes and share successful, real-world examples that showcase the power of generative AI in production. We’ll share a demo and highlight companies leading the way across industries, and how we think about the new reasoning capabilities in models.

Why can't my agent perform actions on my behalf? How is tool calling different from retrieval? How do I test my LLM tools? How do I evaluate different model's ability to call tools?

These and many more questions were some of the main points we've been figuring out as we've been building Arcade AI. This talk will focus on the approaches we tried and the approaches we found that worked.

If you want to or are building an Agent that can call tools, this will be a good talk for you.