Introduction I didn’t start learning Prompt Engineering to become an expert. I started because I kept getting inconsistent results while using AI tools in real...
Generative artificial intelligence (GAI), specifically large language models (LLMs), are increasingly used in software engineering, mainly for coding tasks. How...
Reproducing computational research is often assumed to be as simple as rerunning the original code with provided data. In practice, missing packages, fragile fi...
Overview A firm that wants to use a large language model LLM to summarize sales reports or triage customer inquiries can choose between hundreds of unique LLMs...
Building a “Continuous Brain” with Synapse AI Chat I build AI tools to solve my own problems. A while back, I built NutriAgent to track my calories because I w...
Stop generating, start thinking by Sophie Koonin 8 February 2026 Tags: ai/tags/ai/, engineering/tags/engineering/ Throughout my career, I feel like I’ve done a...
Data quality determines foundation model performance, yet systematic processing frameworks are lacking. We introduce Data Darwinism, a ten-level taxonomy (L0-L9...
markdown Jan 16, 2026 In the world of Agentic AI, the ability to call tools translates natural language into executable software actions. Last month we released...
This research presents a novel application of Evolutionary Computation to the domain of residential electric vehicle (EV) energy management. While reinforcement...
Large language models can resist task-misaligned activation steering during inference, sometimes recovering mid-generation to produce improved responses even wh...
As AI systems grow more powerful, Anthropic’s resident philosopher says the startup is betting Claude itself can learn the wisdom needed to avoid disaster....
Recent progress in ML and LLMs has improved vulnerability detection, and recent datasets have reduced label noise and unrelated code changes. However, most exis...
