ChatGPT in newsrooms
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 these advanced technologies can be optimally used. How can ChatGPT make the newsroom more efficient and optimize journalistic work? Our webinar gives you exactly the answers you're looking for!
Use prompts and fine-tuning for better editorial content
We explain prompts and fine-tuning using practical examples. A prompt is an instruction for an AI such as ChatGPT. An example: “Write a short article about the benefits of electric cars.” The quality of AI results depends heavily on the prompts selected. We'll show you the key tricks.
Fine tuning, on the other hand, refers to the process of specifically adapting an LLM such as ChatGPT for specific applications. For example, a specialized ChatGPT model can be fine-tuned for financial news in such a way that it generates more precise and relevant information on financial topics. In this way, you increase the quality of the texts you create and meet the requirements of your newsroom.
In this webinar, you will learn:
- Basics of effective prompts for first-class ChatGPT results
- Targeted fine-tuning: ChatGPT tailor-made for your publication
- The potential and limits of LLMs in everyday journalism
Presented by:
Peter Dyllick-Brenzinger is Co-Founder and CPTO of BeatSquares and a member of Purple's advisory board. At Purple he led platform development as Head of Product and Engineering. Before that he ran product in the editorial space at Axel Springer and built data-driven tools for the BILD and WELT newsrooms.
Are you ready to move beyond maintenance and focus on development?
Whether you need a digital-first CMS, an editorial system or an e-paper solution, we’ll show you what Purple can do for your media company. No strings attached, with concrete examples and tailored to your requirements.
