The latest machine learning, A.I., and data career topics from across both academia and industry are
StableLM, the new family of open-source language models from the brilliant minds behind Stable Diffu
How does one use marketing analytics to drive business success? Avinash Kaushik, Chief Strategy Offi
Chinchilla AI, and fine-tuning proprietary tasks with large language models: On this week’s Five-Min
Wrangling data in Pandas, when to use Pandas, Matplotlib or Seaborn, and why you should learn to cre
Models like Alpaca, Vicuña, GPT4All-J and Dolly 2.0 have relatively small model architectures, but t
Vincent Gosselin, CEO and co-founder of Taipy, an open-source Python library, joins Jon Krohn to dis
Get started with language models: Learn about the commercial-use options available for your business
Get to grips with AWS, Azure, Google Cloud Platform on this week’s episode. Host Jon Krohn speaks wi
How does Meta AI's natural language model, LLaMa compare to the rest? Based on the Chinchilla scalin
In this episode, Jon Krohn welcomes Adrian Kosowski, Co-Founder and Chief Product Officer at Pathway
AI risks, RLHF, and inner alignment: GPT stands to give the business world a major boost. But with e
GPT-4, augmenting human tasks with AI, and using GPT-4 commercially: Vin Vashishta speaks to host Jo
GPT-4 has landed! But how well does it compare to GPT-3.5? Tune in to hear Jon stack its performance
Angel investor and data science consultant Josh Wills sits down with Jon Krohn to discuss his former
Can ChatGPT make us better and faster in our work, and is it the future or just another fad? In this
NLP, transformer architectures, and machines beating humans at their own game: Jon Krohn talks to Al
Our list of the top 10 SuperDataScience podcast episodes for 2022 is here. From Pandas to causality,
Chip Huyen, co-founder of Claypot AI and author of O'Reilly's best-selling "Designing Machine Learni
ChatGPT is well-known for its potential to disrupt the writing industry, but in what other, perhaps
NLP practitioners: this episode is for you. From the awareness of linguistic elements and annotation
