Algo
0:00 Introduction
1:28 NLP Simplified & Generative Language Models
3:10 Common Natural Language Use Cases
4:18 Horizontal & Vertical AI Component Models
7:58 Excited to learn about GPT-3!
8:50 What is GPT-3?
11:48 GPT-3 blows GPT-2 out of the water
12:50 Deep learning linearly scales with data & effectiveness of deep learning models
15:07 No AI Winter – models will scale with us
16:11 Emergence of Consciousness
18:10 GPT-3 is a Generalist Model
18:50 Training GPT-3 on programming languages
22:05 We can achieve desired behavior out of GPT-3
22:55 0-Shot Learning, 1-Shot Learning & Few-Shot Learning
25:11 Limitations of GPT-3
26:14 Fake News
26:36 GPT-3 is Ethically Blind
27:10 Biases
28:04 Authenticity of Output
29:55 Future Development of Models
30:29 Blockchain & AI Convergence
31:33 Teaching Kids / Training Data Sets
32:25 Internet is a wall, anyone can write on it
34:09 Vetting reliable data & authenticity
36:38 Human brain vs. GPT-3
38:43 Amjad loves mindmaps!
39:53 London Tube Network
41:11 Deep learning does not resemble human brain
43:17 GPT-3 in Action
50:10 What will GPT-4 look like?
53:38 New Business Models
55:48 What behaviors will emerge?
58:16 Bias-free, differentiating facts & opinions
59:54 Garbage content on the internet
1:00:30 John Preskill is a trusted source on quantum mechanics
1:04:17 A lot of noise & very little signal on the internet
1:04:59 Sense of judgment in future GPT models
1:06:55 New Age Gurus
1:07:55 Useful Applications in Business
AI Simplified – Episode 04 – GPT-3
