What’s happening with the latest releases of large language models? Is the industry hitting the edge of the scaling laws, and do the current benchmarks provide reliable performance assessments? In this episode, I return to the Real Python podcast to …
In this interview, I break down the LLM landscape for 2025. Discover the key criteria for choosing the best AI model: performance, cost, use-case fit, and more, so you don’t waste tokens (or your budget) on the wrong solution. What you’ll learn: …
How do you measure the quality of a large language model? In this episode, I join Carl and Richard again on the .NET Rocks! podcast about my work measuring large language models for accuracy, reliability, and consistency. I talk about the variety of …
What are the current approaches for analyzing emotions within a piece of text? Which tools and Python packages should you use for sentiment analysis? In this episode, I return to the Real Python podcast to discuss modern sentiment analysis in Python. …
On this episode of the Talk Python to Me podcast, I team up with my friends Paul Everitt, Carol Willing and Michael to discuss near-term trends in the Python world.
