Generative AI has captured the imagination of the public by storm, and it feels like there is a hot new large language model (LLM) being announced every other day. But as developers, we are trying to solve problems for people and make delightful experiences for them. Is AI here to help, or to hurt?
In this demo packed session, Scott Hanselman dives into the science behind LLMs, explains what they can and can’t do, and uncovers how we can use generative AI to make our lives better as developers and humans.
▬▬▬▬▬▬ WANT TO LEARN MORE? 🚀 ▬▬▬▬▬▬
Find out more about LLMs - github.blog/2023-10-27-demyst...
Discover GitHub Copilot - github.com/features/copilot?u...
Watch more from GitHub Universe - reg.githubuniverse.com/flow/g...
▬▬▬▬▬▬ TIMESTAMPS ⌚ ▬▬▬▬▬▬
0:09 Intro
2:38 Why the way we're thinking about LLMs is wrong or problematic
3:56 Why ethics are important when it comes to AI
5:54 How to explain AI to a non-technical person
8:14 Looking at probabilities within AI
9:48 Giving AI more context
11:42 AI as uncanny valley
13:31 Why we have to be intentional when working with AI
18:44 Prompting AI
19:50 Changing the emotional response of the prompt
22:00 The meaning of temperature in the context of AI
25:15 Looking at GPT Families
26:38 The ecological impact of AI
27:40 What does responsible AI mean?
28:40 Looking at Copilot chat
32:53 Coming back to ethics in AI
34:30 Looking at TypeChat
37:10 Kindness and AI
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9 ноя 2023
