The reason I called out the absurdity of AI agent hype was not because I don't see the potential. But I've been surprised by the lack of candid discussions that successful projects need. Responsible ...
A consistent media flood of sensational hallucinations from the big AI chatbots. Widespread fear of job loss, especially due to lack of proper communication from leadership - and relentless overhyping ...
Chief AI Scientist Josh Joseph and BKC RA Seán Boddy address the risks that misalignment and loss of control pose to increasingly complex LLM-based agents. Their paper, available from arXiv, suggests ...
Varun is a product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. One-off benchmarks rarely predict business outcomes. AI evals ...
The AI industry is obsessed with scale—bigger models, more parameters, higher costs—the assumption being that more always equals better. Today, small language models (SLM) are turning that assumption ...
A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a ...
DSPy (short for Declarative Self-improving Python) is an open-source Python framework created by researchers at Stanford University. Described as a toolkit for “programming, rather than prompting, ...
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