As an AI researcher and industry analyst, I’ve spent years tracking the evolution of artificial intelligence. But what’s coming in 2025 is unlike anything we’ve seen before. Microsoft and OpenAI just dropped bombshell announcements that are set to revolutionize how we live and work. Let me break down these game-changing developments and why they matter […]
As an AI researcher deeply involved in the development and deployment of language models, I’ve been following the evolution of LLM personalization with great interest. A recent comprehensive survey paper, „Personalization of Large Language Models: A Survey“, provides fascinating insights into this rapidly evolving field. We already dived into this paper in my blog post […]
In Part 1, I laid the foundation for Alfred, our AI-powered development butler, by creating a basic chat interface. Now, let’s dive into how I enhanced and refined the system to make it more robust and versatile. Refactoring for Scalability The first major improvement was restructuring the codebase to support multiple AI agents and different […]
In the Lex Fridman Podcast #452 transcript featuring Dario Amodei, CEO of Anthropic, the concept of „Constitutional AI“ is discussed. This approach involves training large language models (LLMs) to adhere to a set of predefined principles or a „constitution“ that guides their behavior. The goal is to align AI outputs with human values and ethical […]
Imagine if your AI assistant could understand you as well as your best friend—how close are we to that reality? Personalization of Large Language Models (LLMs) is an emerging field that aims to tailor these powerful AI systems to individual users, contexts, or tasks, significantly enhancing their relevance, accuracy, and overall performance.
Cost-controlled evaluations are reshaping how AI agents are benchmarked and developed, as highlighted by recent research from Princeton University (AI Agents That Matter). In an AI landscape often dominated by flashy, compute-intensive results, how can we ensure that these agents are truly efficient and practical for real-world use? This approach not only prevents misleading results […]