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1
Intro
2
History of large language models
3
GPT-4
4
CO2 emissions
5
Hallucinations & silent failures
6
What are LLMs good for?
7
What are LLMs not so good for?
8
Safety 101
9
General guidelines for selection & deployment
10
The fine art of prompting
11
The Feynman technique
12
The Pareto principle
13
Storytelling
14
Virtual assistants in automated space
15
Use cases
16
Outro
Description:
Explore the transformative potential of large language models (LLMs) in this beginner-friendly conference talk. Delve into the history of LLMs, examine GPT-4's capabilities, and address important considerations such as CO2 emissions, hallucinations, and safety. Learn about the strengths and limitations of LLMs, discover general guidelines for selection and deployment, and master the art of prompting. Gain insights into effective techniques like the Feynman method, Pareto principle, and storytelling. Investigate the role of virtual assistants in automated spaces and explore real-world use cases. Equip yourself with the knowledge to harness the power of AI and adapt to the changing landscape of work, regardless of your background in technology.

Unleash the Power of Large Language Models

GOTO Conferences
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