The Journey to ChatGPT and LLMs
Part of the mystery of large language models (LLMs) like ChatGPT is that they seem to have become at least on the verge of sentience out of nowhere. The demonstrations are truly mind-boggling but they mask the reality of what is happening and how it is being accomplished. Unfortunately, the purveyors of these technologies are not incentivized to focus on the limits they face and how far we are actually (Narrator: VERY!) from artificial intelligence.
In order to better understand where we are, we will explore where we have been. This process will help you decide what is a good use of what is possible even if it isn't in any way “intelligent”.
In this workshop, we will introduce and look at the application of a variety of technologies and tools that have led up to where we find ourselves now.
This will include:
- Statistics
- Machine Learning
- Deep Learning
- NLP
- Generative AI
- Large Language Models
The code samples will be presented in Python, but no proficiency will be expected and everything significant will be explained.
About Brian Sletten
Brian Sletten is a liberal arts-educated software engineer with a focus on forward-leaning technologies. His experience has spanned many industries including retail, banking, online games, defense, finance, hospitality and health care. He has a B.S. in Computer Science from the College of William and Mary and lives in Auburn, CA. He focuses on web architecture, resource-oriented computing, social networking, the Semantic Web, AI/ML, data science, 3D graphics, visualization, scalable systems, security consulting and other technologies of the late 20th and early 21st Centuries. He is also a rabid reader, devoted foodie and has excellent taste in music. If pressed, he might tell you about his International Pop Recording career.
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