In only a number of short months, large language models moved from the realm of specialised researchers into the on a regular basis workflows of knowledge and ML teams everywhere in the world. Here at TDS, we’ve seen how, together with this transition, much of the main target has shifted into practical applications and hands-on solutions.

Jumping straight into tinkering mode could make lots of sense for data professionals working in industry—time is precious, in any case. Still, it’s at all times idea to ascertain a solid grasp of the inner workings of the technology we use and work on, and that’s precisely what our weekly highlights address.

Our really useful reads looks each on the theoretical foundations of LLMs—specifically, the GPT family—and on the high-level questions their arrival raises. Even if you happen to’re just an informal user of those models, we predict you’ll enjoy these thoughtful explorations.