We explore Artificial Intelligence from the point of view of businesses trying to get the most out of AI. From the best way to use ChatGPT, to using APIs to b...
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.
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10:36
2024 Predictions for AI (The Ugly)
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!
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12:50
2024 Predictions for AI (the Bad)
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.
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21:22
2024 Predictions for AI (the Good)
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!
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22:11
Using ChatGPT to Write Code with Case Study
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.
We explore Artificial Intelligence from the point of view of businesses trying to get the most out of AI. From the best way to use ChatGPT, to using APIs to build your own AI front ends, to AI security and infrastructure, to fine-tuning and model training, we have you covered.
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