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Buy or Train? Using Large Language Models in the Enterprise

Key Takeaways:
  • Learn what choices you have for using large language models and other generative AI models in the enterprise.
  • Learn how to make the right decisions for safe adoption of AI in business.
  • Learn how MosaicML can help you manage AI at your organization.
Thursday July 27, 11 AM ET
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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 Lupesko Headshot
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.

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