Deep Dives

Benchmarking Tabular Reinforcement Learning Algorithms

posts, we explored Part I of the seminal book by Sutton and Barto (*). In that section, we delved into the three fundamental techniques underlying nearly every modern Reinforcement Learning (RL)...

Attaining LLM Certainty with AI Decision Circuits

of AI agents has taken the world by storm. Agents can interact with the world around them, write articles (not this one though), take actions in your behalf, and usually make the difficult...

The Secret Inner Lives of AI Agents: Understanding How Evolving AI Behavior Impacts Business Risks

(AI) capabilities and autonomy are growing at an accelerated pace in Agentic Ai, escalating an AI alignment problem. These rapid advancements require latest methods to make sure that AI agent behavior is aligned...

Government Funding Graph RAG

, I present my latest open-source project — Government Funding Graph. The inspiration for this project got here from a desire to make higher tooling for grant writing, namely to suggest research topics, funding bodies,...

LLM Evaluations: from Prototype to Production

cornerstone of any machine learning product. Investing in quality measurement delivers significant returns. Let’s explore the potential business advantages. As management consultant and author Peter Drucker once said, Constructing a strong evaluation system...

Google’s Latest AI System Outperforms Physicians in Complex Diagnoses

going to the doctor with a baffling set of symptoms. Getting the proper diagnosis quickly is crucial, but sometimes even experienced physicians face challenges piecing together the puzzle. Sometimes it won't be something...

An LLM-Based Workflow for Automated Tabular Data Validation 

is an element of a series of articles on automating data cleansing for any tabular dataset: You'll be able to test the feature described in this text on your personal dataset using the CleanMyExcel.io...

Learnings from a Machine Learning Engineer — Part 6: The Human Side

In my , I even have spent lots of time talking concerning the technical points of an Image Classification problem from data collection, model evaluation, performance optimization, and an in depth have a look at model training. These elements require a...

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