1 June 2023, 12 noon

Revolutionise your editorial work with ChatGPT

How to achieve peak performance with prompts and fine-tuning

Artificial intelligence is fundamentally changing the world of work, and journalism is no exception. With the advent of ChatGPT and other Large Language Models (LLMs), the question is how to make the best use of these advanced technologies. How can ChatGPT make the newsroom more efficient and optimise journalistic work? Our webinar will give you exactly the answers you are looking for!

We explain prompts and fine-tuning using practical examples. A prompt is an instruction for an AI like ChatGPT. An example: "Write a short article about the advantages of electric cars." The quality of the AI results depends strongly on the chosen prompts. We show you the crucial tricks.

Fine-tuning, on the other hand, refers to the process of adapting an LLM like ChatGPT specifically for certain use cases. For example, a specialised ChatGPT model can be optimised for financial news through fine-tuning so that it generates more precise and relevant information on financial topics. This will increase the quality of the texts produced and meet the requirements of your newsroom.

Our webinar will provide you with sound insights into:

- The basics of effective prompts for first-class ChatGPT results.

- Targeted fine-tuning: ChatGPT tailor-made for your publication

- Potentials and limits of LLMs in everyday journalistic work

Peter Dyllick-Brenzinger
Head of Product and Engineering bei SPRYLAB
Peter Dyllick-Brenzinger has been working with and on content management systems for over 15 years. Before his current role at Purple as Head of Product and Engineering, he was Head of Product for internal Headless CMS and Editorial AI development at Axel Springer for BILD and WELT.

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