Agentic AI
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Beyond the demo: Why agentic evaluation matters
Agentic systems powered by LLMs can be incredibly impressive in demos. With a few well-crafted prompts, they can demonstrate reasoning, calling tools, and solving complex tasks [1]. Demos are effective at showcasing what’s possible. Production environments, however, are where those capabilities are tested at scale and under real-world conditions. The same agent that performs perfectly…
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Agentic AI Symposium 2026
A science‑fueled, multidisciplinary approach to Agentic AI Authors: Jean-Yves Franceschi & Mariia Vladimirova At the Criteo AI Lab, we believe that making AI both trustworthy and useful requires a continuous and open dialogue between scientists, engineers, policymakers, regulators, and industry leaders. As AI systems evolve from passive predictors to agentic systems capable of planning, using tools,…
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Leveraging Commerce Data for Outcome-Based Relevancy in Agentic Recommendation Systems
TL;DR Most agentic commerce recommendation services today rely on content embeddings or mainstream LLMs (e.g., Claude, Llama, GPT). While effective for semantic understanding, these models are not grounded in real shopping behavior and are not optimized for commercial objectives such as clicks or conversions. In this article, we show that leveraging commerce data at both…
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How RecSys & LLMs Will Converge: Architecture of Hybrid RecoAgents
Recommender systems have become critical infrastructure in commerce. Their role is not only to surface relevant items but also to shape how users explore, compare, and decide. Improvements in recommendation translate directly into superior business outcomes: higher engagement, more conversions, stronger loyalty, and more efficient allocation of marketing budgets. Over the last couple of years,…
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Agents, APIs, and Advertising: Lessons From Engineering Our MCP Server
MCP, Model Context Protocol, has made quite some noise in the past year as it promises a simpler, user-driven, integration of tools into Large Language Models (LLMs). At Criteo, we believe that MCP will be key to empowering our clients and giving them the control to create and manage advertising campaigns in a new way:…
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The Future is Now: Key Insights from the AI Engineer Paris Conference
When I walked into the conference, there was a mix of excitement and unease in the air. Everyone seemed to sense it: we weren’t just talking about “what’s coming someday”, we were already living through a shift. The main idea came up again and again, in different words and contexts: we’re moving from writing code…