The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge

Prepare to have your brain tickled by Dr. Julia Silge. In today's episode, Julia details the IDE she's been developing for data scientists, "Tidy" NLP, and open-source libraries that make MLOps a breeze.

More on Julia:

• Engineering Manager at Posit PBC (makers of RStudio... and the company formerly known as RStudio).

• Authored the bestselling O'Reilly books “Text Mining with R” and “Tidy Modeling with R".

• Previously worked as a Data Scientist at Stack Overflow and Datassist.

• Prior to joining industry, was an academic researcher and professor at Yale University.

• Holds a PhD in Astronomy from The University of Texas at Austin.

Today’s episode will probably appeal most to hands-on practitioners like data scientists, software developers and ML engineers. In it, Julia details:

• The brand-new IDE Positron (free to use and source-available) that she’s been developing.

• Her favorite LLMs for code generation.

• The open-source software libraries that make MLOps easy.

• Her top tips for effective Natural Language Processing, including when more traditional NLP techniques should be used instead of an LLM.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

MLOps: The Job and The Key Tools, with Demetrios Brinkmann

Today, global MLOps community leader Demetrios Brinkmann details why MLOps is essential, how it differs from related roles like LLMOps, DevOps and A.I. Engineering, and the best tools for deploying and scaling LLMs.

Demetrios:

• Is Founder and CEO of MLOps Community, an organization dedicated to supporting MLOps professionals that has quickly grown to over 20,000 members.

• Was previously founder of the Data on Kubernetes community.

• Before that, worked in public-facing roles at a number of European tech startups.

Today’s episode will be of interest to anyone who’s keen to better understand the critical function of MLOps in bringing machine learning models to the real world.

In today’s episode, Demetrios details:

• What exactly MLOps is and how it relates to other jobs like LLMOps, DevOps and A.I. Engineer.

• The key MLOps tools and approaches.

• What it takes to build a thriving community of tens of thousands of professionals in just a few years.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.