By now, anyone using a Large Language Model (LLM) has had it return some crazy results. Researchers are working on some very elegant techniques for fact checking LLMs and citing sources. In this epsiode I'm going to discuss the low tech approach to fact checking the output of your LLMs by generating your output in multiple passes.

This is Part 3 of my 2024 Predictions for Data Science, Machine Learning, and Artificial Intelligence. The Good, The Bad, and The Ugly.

This is the Ugly!

This is part 2 of my 2024 New Years Predictions for Data Science, Machine Learning, and Artificial Intelligence. The Good, The Bad, and The Ugly.

This is The Bad.

This is Part 1 one of my 2024 New Years Predictions for Data Science, Machine Learning, and Artificial Intelligence. The Good, The Bad, and The Ugly.

This is the good!

In this episode we go through the challenges of using ChatGPT 4 to write software using a case study. In the example presented we resurrected a difficult project from before ChatGPT, that we had abandoned. What made this project a challege was it requires obscure programming techniques with very few examples available to reference. This forced ChatGPT to "think outside the box", and the results were surprising.

Open source projects get a bad rap for a lot of reasons, but in Artificial Intelligence open-source is impossible to avoid. In this episode we will discuss open-source and why it is so important in artificial intelligence.

In this episode we will table about Retreival Augmented Generation (RAG), why it's important, and the history behind the concept.

The Chat GPT API or Application Programming Interface, allow developers to integrate the functionality of ChatGPT in their own applications. Businesses that want to effectively use ChatGPT in their operations cannot avoid the ChatGPT API. In this episode we discuss the ChatGPT API and APIs in general along with a little history.