In this episode, Abi Aryan (Machine Learning & LLMOps Expert) and Andreas Welsch discuss fine-tuning & operating your generative AI models. Abi Aryan shares her insights on using large language models (LLMs) and provides valuable advice for listeners looking to incorporate this new technology in their applications.Key topics:- Get more specific results from a large language model (LLM)- Improve model performance over time- When to pursue fine-tuning vs. promptingListen to the full episode to hear how you can:- Evaluate the pros and cons of fine-tuning vs. prompting- Consider the operational cost of using generative AI- Tailor model evaluation based on the use caseWatch this episode on YouTube:https://youtu.be/8km8_fK-enYQuestions or suggestions? Send me a Text Message. Support the show***********Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.Level up your AI Leadership game with the AI Leadership Handbook:https://www.aileadershiphandbook.comMore details: https://www.intelligence-briefing.com All episodes:https://www.intelligence-briefing.com/podcastGet a weekly thought-provoking post in your inbox:https://www.intelligence-briefing.com/newsletter

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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