S2E2 - Large Language Models, Open AI and ChatGPT.

Listen to full episode:

In this episode of the podcast, Terry, Tori, and Craig dive deep into the world of language models, discussing their origins and the ways in which they differ from traditional deep learning models. The group explores the history of language models to the state-of-the-art models of today. They also examine the unique capabilities of language models, such as their ability to generate human-like text and discuss how these capabilities are being used in various industries.

The group also delves into the implementation of language models in industry, examining both the useful and not so useful applications of these models. They discuss the challenges and limitations of using language models in real-world scenarios and consider the ethical implications of these models. They also explore the potential future of language models, speculating on what advancements we can expect to see in the coming years.

As always, the group also delves into the latest news in the realm of data and AI, including discussions on generating Dungeons & Dragons characters, imagining what the characters of Gilmore Girls would be like in 2173, and the latest advancements in e-ink number plates. They also touch on other exciting developments in the field, such as new research and breakthroughs. And of course, they'll be chatting about beer as well, providing recommendations for some of the best brews to enjoy while listening to the episode.

In short, this episode offers an in-depth and comprehensive look at the world of language models, from their origins to their current state and potential future. Whether you're a seasoned data scientist or simply curious about the latest developments in AI, this episode is sure to provide valuable insights and thought-provoking discussions. (Yes this was generated by a language model :P)

Links:

ChatGPT: Optimizing Language Models for Dialogue (openai.com)

Reviver Creates Smart License Plate with E Ink Digital Paper

Terry McCann

Microsoft MVP. Principal Consultant and Owner of Advancing Analytics Limited, an Advanced Analytics consultancy in the UK. Advancing Analytics helps businesses advance their analytical capabilities. Our focus is on Data Science, Data Engineering, DataOps and applied AI. Terry holds a Master's degree in Data Science - with a focus on DataOps for Machine Learning. Organiser of the Data Science Exeter user group, frequent speaker at conferences across the world and the host of the Data Science in Production Podcast.

https://www.advancinganalytics.co.uk
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S2E3 - Why is SQL Still the Most Popular Data Language?

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S2E1 - Looking back at 2022 and predictions for 2023