10.05.2023 at 11:00 a.m.

ChatGPT in editorial offices:

How to achieve peak performance with prompts & 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 most of these advanced technologies. How can ChatGPT be used to make the newsroom more efficient and optimize journalistic work? Our webinar will give you exactly the answers you are looking for!

We explain prompts and fine-tuning with real-world examples. A prompt is an instruction for an AI like ChatGPT. An example: "Write a short article about the benefits of electric cars." The quality of AI results depends heavily on the prompts you choose. We show you the crucial tricks.

Fine-tuning, on the other hand, refers to the process of adapting an LLM such as ChatGPT specifically for certain use cases. For example, a specialized ChatGPT model can be fine-tuned for financial news so that it generates more accurate and relevant information on financial topics. This increases the quality of the texts produced and meets the requirements of your newsroom.

Our webinar offers in-depth insights into:

- Fundamentals of effective prompts for top-notch ChatGPT results.

- Targeted fine-tuning: ChatGPT tailored for your publication

- Potentials and limits of LLMs in everyday journalistic work

Peter Dyllick-Brenzinger
Head of Product and Engineering at 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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