Why Agents Fail: The Role of Seed Values and Temperature in Agentic Loops
In the modern AI landscape, an agent loop is a cyclic, repeatable, and continuous process…
Category: Machine Learning
Beyond Code Review
Not that long ago, we were resigned to the idea that humans would need to…
Keep Deterministic Work Deterministic
This is the second article in a series on agentic engineering and AI-driven development. Read…
A better method for identifying overconfident large language models
This new metric for measuring uncertainty could flag hallucinations and help users know whether to…
Generative AI improves a wireless vision system that sees through obstructions
With this new technique, a robot could more accurately detect hidden objects or understand an…
7 Readability Features for Your Next Machine Learning Model
Unlike fully structured tabular data, preparing text data for machine learning models typically entails tasks…
Goldilocks RL: Tuning Task Difficulty to Escape Sparse Rewards for Reasoning
Reinforcement learning has emerged as a powerful paradigm for unlocking reasoning capabilities in large language…
Prose2Policy (P2P): A Practical LLM Pipeline for Translating Natural-Language Access Policies into Executable Rego
Prose2Policy (P2P) is a LLM-based practical tool that translates natural-language access control policies (NLACPs) into…
MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact
Academia-industry relationship is an early-stage accelerator, supporting professional progress and research.