Articles

As AI capabilities accelerate in reasoning, multimodal grounding, and long-context synthesis, a hidden limitation emerges: the evaluation ceiling. This bottleneck affects AI systems like GPT-4, hindering their growth and potential.

A day of coding with AI can be just as exhausting as one without, despite the promise of increased productivity. But why does this happen? In this article, we'll delve into the reasons behind this phenomenon and explore strategies for maintaining your energy levels.

As AI systems become increasingly sophisticated, they also become more vulnerable to word-based attacks. To protect these systems, it's essential to test their security and implement best practices to prevent jailbreaks.

A revolutionary AI-powered tool has made video editing faster and easier than ever before, eliminating the need for complex timelines and keyframes.

Master Precision@k, Recall@k, MRR, NDCG, and faithfulness scoring are crucial RAG evaluation metrics. Learn how to use them to measure retrieval quality and generation accuracy.

After six years since the introduction of posits, John Gustafson has made a breakthrough with B-Posit, a new technology that promises to improve posit performance and revolutionize computer architecture.

ChaosGraphQA is a novel benchmark that pushes the limits of LLMs, testing their ability to reason and generalize in complex, real-world scenarios. By evaluating LLMs on this infinite-scale benchmark, researchers can gain a deeper understanding of their strengths and weaknesses.

From its humble beginnings as a scientific question to its current impact on daily life, artificial intelligence has undergone a remarkable evolution.

Cloud computing has evolved from a niche concept to a crucial element of modern innovation, transforming the way businesses operate and innovate.

Learn how to build a lightweight evaluation setup to test AI agents before making changes, using a Python script, test cases, rule-based checks, and an LLM-as-judge.

The traditional frontend developer role is evolving, with many modern positions incorporating full-stack development and DevOps responsibilities.

Selecting the right Large Language Model (LLM) for your GenAI application is critical, as different LLMs can behave very differently for the same prompt. This article will walk you through a step-by-step methodology to evaluate and select an LLM for your application.