Chasing bigger AI models without smarter design is a trap we can't afford to fall into, risking inefficiency and diminishing returns. Focus on architecture
How Bonsai 27B runs a “large” language model on your phone without turning it into a cloud ghost
Discover how Bonsai 27B runs a large language model on your phone without relying on the cloud, using innovative techniques to deliver powerful AI locally.
Why big language models need a “global workspace” to think better, not just bigger
Explore why big language models need a global workspace to improve reasoning and coherence. Understanding this cognitive science concept can unlock smarter
Why trusting AI reports without human checks is a risk no intelligence team should take
Trusting AI reports without human checks is risky for intelligence teams; ensure accuracy and avoid costly errors by combining AI insights with expert revi
Mastering Large Language Models: Slash Costs, Slash Latency, and Optimize Every Token for AI Success
Mastering large language models involves slashing costs, reducing latency, and optimizing each token for AI efficiency and performance.
LLM as a Judge: When AI Starts Judging AI — Should We Be Worried?
Explore the rise of LLMs as AI judges, evaluating other models' outputs. Should we be concerned about AI overseeing AI decisions and its implications?
