853: Generative AI for Business — with Kirill Eremenko and Hadelin de Ponteves

Prototyping

Generative AI is revolutionizing the way businesses approach rapid prototyping and proof-of-concept projects. Jon Krohn highlights the flexibility of using advanced AI models without worrying about costs during the initial stages. He explains that even the most expensive models can be utilized for testing viability, as the expenses remain manageable for small-scale trials 1.

You might as well, you know, you could start off by, yeah, using the biggest, latest, greatest models potentially.

--- Jon Krohn

This approach allows businesses to experiment with cutting-edge technology to determine the potential success of their AI applications before scaling up 1.

   

Customization

Customizing generative AI models is crucial for meeting specific industry needs. Kirill Eremenko explains that fine-tuning involves adapting models like Meta's Llama to handle specialized data, such as proprietary medical information, to enhance their performance in niche areas 2.

You can now use either medically specific journals that you're interested in that it might have not been trained on, or that specific data inside your organization and feed it to this foundation model to further fine tune it.

--- Kirill Eremenko

Hadelin de Ponteves adds that this process can transform a general model into a specialized tool, like a chatbot doctor, capable of discussing advanced medical terms with ease 3.