Like Alchemists, those of us working closely with LLMs engage in experimentation and iteration.

Small language models can address some of today’s current issues with AI’s energy consumption, latency, and reliance on cloud servers.

Gen AI can make original, unseen outputs, transforming our business by helping us work faster and smarter.

When considering Speed, Affordability, and Quality of a research project, you can choose only 2 and will sacrifice the 3rd. This is a myth.

The metaphors we use to conceptualize AI assistants shape our expectations

Using Python with LLMs unlocks applications across industries, significantly enhancing their utility in performing analysis & insights

Once AI systems are as smart or smarter than our smartest humans, the benefits to society will be immense and far-reaching.

Finding common measures for developers to evaluate their AGI models, share their findings, and collaborate on next steps towards AGI.

For all the ways that GenAI is revolutionary, it still seems to fit this familiar innovation pattern, albeit, on steroids.