This is a very special episode! We’re going deep on the hot-topic of Large Language Models for this one and decided to make it even better by having not only an LLMs expert, but also both Real AI. Now. hosts in the conversation. Do we have your curiosity?

Our special guest is Pascal Guldener, NLP Engineer at Two Impulse. He has been working for several years now in the area of software engineering with application to NLP. He not only has actively worked on NLP projects, from recommender systems to libraries, but also took the front seat on various whitepapers focused on Large Language Models. As you can see, we´re going to hear about LLMs from who actually knows them best. As it should!

On the other side of the mic, we have Paulo Nunes, CEO at Two Impulse, and Marc Giombetti, Product Manager at Two Impulse. Both of them are current Real AI. Now. hosts, both of them are engaging talkers and great at drawing the best insights. And you can be sure that both of them have a very strong interest in the LLMs topics. So, you can definitely say that we’re in good hands to take this deep dive on LLMs.

To make it insightful for everyone, the episode starts right where it should: discussing what LLMs are and what they are for. From then on, the conversation just flows throughout the most important topics you probably want to see covered. Just to give you a peek, that means: The breakthrough of LLMs and ChatGPT; Open-source models, Retrieval-Augmented Generation (RAG) and Data in LLMs; Responsible AI, and much more. As you know, we like to make things real, so what you also get from this episode are clear examples of when to use or not use LLMs. Before dropping the curtain, we take some time to talk a bit about what to expect in the near future.

Whether you're actively interested in LLMs or not, have technical skills on the topic or not, this is one of those conversations that you cannot afford to ignore. It’s such a hot-topic, with such a significant impact on our society, that you absolutely need to keep up with it. And a great way to do it is by watching or listening to this Real AI. Now. episode. You can thank us later!