What I'm not currently not interested in doing

• renting GPUs
• training my own models
• collecting and cleaning training data
• trying to create data pipelines
• spending hours trying to build something, and not using the built thing
• doing the work of a data engineer
• creating a "data flywheel" or a self-maintaining system that can learns continually

Instead, I'm more interested in the below.

The concepts behind the models

• Watch Why Neural Networks can learn (almost) anything
• Watch But what is a neural network? | Chapter 1, Deep learning
• Watch From RNNs to GPT 4 - 10 years of NLP research explained in 50 concepts | Neural Breakdown
• Watch How ChatGPT Works Technically | ChatGPT Architecture
• Watch A Taxonomy of the Neural Network Zoo - Stefan Leijnan
• Watch Neural Network Architectures & Deep Learning

Where things in the field are going

• Watch CHATGPT + WOLFRAM - THE FUTURE OF AI!
• Watch Sparks of AGI: early experiments with GPT-4
• Watch videos on the @WeightsBiases channel
• Watch Filling the Gap in Large Language Models | Yann LeCun | Eye on AI #116
• Watch videos on the Eye on AI channel
• Read archived TheSequence newsletter posts
• Read State of AI Report Compute Index

How can I be a better user of AI, as opposed to how to become a creator or maintainer of AI systems

• Try using prompts from :ChatGPTActAs

What are expected near future business applications of machine learning models?

• Read about H20 AI Use cases
• Read or try writing emails generated by Flowrite

After watching the videos above, don't forget to write some notes to summarize the key ideas and specific topics/threads to look into more