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1
Intro
2
How to Build an LLM
3
Copyrights and Ethics
4
Is OpenAI Actually Open?
5
An Open AI Supervision Committee
6
Training an LLM
7
Optimizing Hyperparameters for Machine Learning
8
What did Ilya see?
9
Superintelligence Threats to Humanity
10
The Trolley Problem
11
AI on Trump vs. Kamala
12
What Questions Would ChatGPT Like to Answer?
13
The Future of AI: Dystopian or Hopeful?
14
Latent Space Explained
15
AI Consciousness
16
Conclusion
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Dive into a comprehensive podcast episode exploring the intricacies of AI, ethical considerations, and the future of human-computer interaction. Engage with in-depth discussions on building and training Large Language Models (LLMs), copyright issues, and the transparency of AI development. Explore philosophical dilemmas like the trolley problem and potential job displacement by AI. Examine complex concepts such as latent space and voice modeling, while reflecting on the unique qualities of human experience. Gain insights into optimizing hyperparameters for machine learning, potential superintelligence threats, and the future trajectory of AI development. Conclude with thought-provoking reflections on AI consciousness and its implications for society.

How to Train an LLM, Ethics, and the Future of AI

Tejas Kumar
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