Large Language Models (LLMs) like GPT, Bard and LLaMA have taken the world by storm. However, enterprise adoption presents a dilemma. Do you access a proprietary model through an API and try to deal with the data privacy risks? Do you use an off-the-shelf LLM and fine-tune it to meet your needs? Or do you start from scratch and train your own LLM?
In this (mostly) non-technical webinar, Hagay talks you through the pros and cons of each approach to help you make the right decisions for safely adopting large language models in your organization.
Presenter Bio
Hagay LupeskoVP of Engineering at MosaicML
In his work at AWS, Meta, and now MosaicML, Hagay has helped organizations leverage AI. He and his teams have built tools for machine learning engineers and scientists, shipped large scale AI systems, and helped organizations deal with training state of the art artificial intelligences.
