Phillip Carter, Principal Product Manager at Honeycomb and open source software developer, talks with host Giovanni Asproni about observability for large language models (LLMs). The episode explores similarities and differences for observability...
Jeremy Howard from fast.ai explains deep learning from concept to implementation. With transfer learning, individuals and small organizations can quickly get to work on machine learning problems using the open source fastai library and desktop...
Robert Blumen talks to JBoss Drools project lead Edson Tirelli about Rules Engines. The show covers: the nature of business rules; rules and facts; rules and actions; the importance or rules to a business; the structure of a business rule; how many...
In this Episode we're talking with Dick Gabriel on Lisp. We started by looking at artificial intelligence as the historic context of Lisp, the goals AI tried to reach, and how Lisp was supposed to help reach those. We then discussed the language...