Authors: Ahmed Ben Yahmed , Antoine Schnepf , Karim Kassab , and Mélissa Tamine . The 14th International Conference on Learning Representations ( ICLR 2026 ) was held from April 23 to 27, 2026, at the Riocentro Convention and Event Center in Rio de Janeiro, Brazil. It was the first time the conference made its way to South America. As…
#llm
12 posts
28 May
18 May
In recent weeks, we pointed Mythos and other security-focused LLMs at live code across critical parts of our infrastructure. We share what we observed, the models’ strengths and weaknesses, and what the work around them needs to look like before any of it can scale.
16 Apr
Author: Fabian Höring 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 on curated…
24 Mar
This tutorial is for developers, designers who code, or anyone new to AI who wants a hands-on introduction to building a custom AI chatbot that can search and answer questions using your own data. I wanted to build an AI-powered tool for our team, but I had zero experience building AI applications—so I decided to […] The post How to…
17 Mar
We used DSPy to turn prompt engineering for our relevance judge into a measurable, automated optimization loop, improving task performance, cost, and how reliably it works in production.
26 Feb
How we train Dash's search ranking models with a mix of human and LLM-assisted labeling.
28 Jan
Engineering VP Josh Clemm deep-dives into how we think about knowledge graphs, indexes, MCP, and prompt optimization using tools like DSPy.
Learn how Microsoft.Extensions.AI provides a unified API for building intelligent .NET applications with any LLM provider - one interface, endless possibilities, with built-in middleware, telemetry, structured outputs and more. The post .NET AI Essentials – The Core Building Blocks Explained appeared first on .NET Blog.
15 Jan
We use GenAI in every facet of technology now - internal knowledge bases, customer support systems, and code review bots, to name just a few use cases. And in nearly every one of these, someone eventually asks: What stops the model from returning something the user shouldn’t see?” This is a roadblock that companies building...
18 Dec 2025
The feature store is a critical part of how we rank and retrieve the right context across your work.
12 Nov 2025
Imagine a scenario where you want to translate a sentence from English to another language. Without additional logic or processing, a simple phrase like “the cat is sitting on the mat” in English might translate to “Le chat est séance sur le tapis.” The actual translation should be “Le chat est assis sur le tapis,” ...
25 Nov 2024
How we improved Canva’s private design search while respecting the privacy of our community.