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Mastering GPT in Your Daily Work

Course Overview

Target group: Professionals​ from any functions and industries with basic GPT skills

5h (13.00–18.00)

On-site, Zurich (Impact Hub)

Afternoon powerbreak, brainfood & drinks provided

Certificate of Attendance (Paper & NFT format)

CHF 390.-

Next course dates:
November 8, 2024

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Course Details & Agenda

This hands-on GPT training targets professionals​ from any functions and industries with limited prior GPT experience. In one fully packed afternoon, course participants learn about the basics of language models and transformers, how LLMs and GPT work, what LLMs are capable of today, how to interact effectively with LLMs using state-of-the-art prompt engineering techniques, and how to use ChatGPT / GPT-4 / GPT-4o / Copilot efficiently in their daily work, also by leveraging (individual) GPTs, GPT plugins, browser extensions and additional tools / applications. Further, we will discuss important legal and ethical topics related to the subject. Finally, we will risk some crystal ball gazing (recent progress in Generative AI / LLMs – where do we go from here?) and discuss potential business use cases from/with course participants.

Full agenda:

13.00–14.30: LLM / GPT Intro & Capabilities
 

  • Language Model & Transformer Introduction

  • GPT (Performance) History

  • LLM Capabilities & Application Areas

  • ChatGPT/GPT-4 vs. Gemini, Playground Intro

  • Current State of LLMs: Strengths & Limitations

  • Exercises

14.30–15.30: Prompt Engineering
 

  • Prompt Engineering Basics & Use Cases

  • Leading Techniques (CoT / Self-reflection / In-context Learning / Few-shot Prompting / Input-output Prompting / Role Prompting / Prompt Chaining / CO-STAR Framework)

  • Custom Instructions & Commands

  • Exercises

15.30–17.00: GPT Tooling
​

  • (Individual) GPTs, GPT-4o

  • Copilot, Microsoft 365 Copilot & more tools

  • Browser Extensions for GPT & more app's

  • AI Image & Video Generations Tools

  • Agents / AutoGPT, upcoming models

  • Exercises

17.00–18.00: Additional Topics & Outlook

​

  • Do's & Don'ts when using LLMs

  • LLMs <> Data Protection

  • LLMs <> Copyright Law

  • AI Safety / Ethics

  • Outlook: GenAI/LLM Domain, AGI/ASI

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