LLMs: Beyond Proofs of Concept

May 04, 09:00 AM CEST
  • Virtual () Outerbounds
  • 295 RSVP

The live session is at 9AM CET/00AM PDT/3AM EDT. If you can't make the live event, still register to receive the recording.

Federico Bianchi is a post-doctoral researcher at Stanford University, with experience in building large Vision-Language models (e.g., FashionCLIP), model understanding (e.g., Limitations of Vision-Language Models) and fairness and bias (e.g., Bias in Text-to-Image, EvalRS).

In this fireside chat, Federico joins Hugo Bowne-Anderson, Outerbounds’ Head of Developer Relations, to discuss where the field of large language models is today and what we can expect to see in terms of business value, once the hype dies down.

After attending, you’ll have an understanding of:
- What large language models are and are not currently capable of;
- Ways to get started with LLMs today and how to stay up to date;
- How LLMs can be used to build sustainable business value and defensible business moats;
- How to think about productionizing LLMs and incorporating them into existing software stacks;
- Ethics and the trade-off between the usefulness of language models and the associated risks;
- Privacy and risks of content regurgitation.

And much more! The fireside chat will be followed by an AMA with Federico and Hugo at slack.outerbounds.co

*The event is hosted by our partner, Outerbounds
*Read the related blog: Large Language Models and the Future of the ML Infrastructure Stack
Federico Bianchi

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