Rapid improvements in artificial intelligence emphasize need for randomized trials ...

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.

The AI assistant market has exploded. Every few months, we hear about another breakthrough model that promises to revolutionize how we work, create, and solve problems. But as someone who likes to see ...

Months of hands-on testing with locally run large language models (LLMs) show that raw parameter count is less important than architecture, context window, and memory bandwidth. Advances in ...

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...

Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...

Researchers have developed a large language model that can perform some tasks better than OpenAI’s o1-preview at a tiny fraction of the cost. Last September, OpenAI introduced a reasoning-optimized ...

We ran a four-week single-blind study swapping the LLM powering our AI agent. Loni never noticed. Kruskal-Wallis H=1.19, ...