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What's Next for Large Language Models

Thursday, April 20, 2023
4 PM BST | 11 AM EDT | 8 AM PDT
Alberto Rizzoli
Alberto Rizzoli
Co-founder & CEO of V7
Eiso Kant
Eiso Kant
CEO & Founder, Athenian
Douwe Kiela
Douwe Kiela
AI Researcher & Professor, Stanford University
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Next in AI

What's Next for Large Language Models

What's Next for Large Language Models
ABOUT

About the Event

Join us for a compelling fireside chat that will delve into the horizon for Large Language Model capabilities and tooling.

Our esteemed panel, comprising LLM tooling developers and venture capitalists, will provide invaluable insights on navigating this rapidly evolving space. Learn from their experiences and stay ahead of the curve in AI innovation.

The arrival of GPT-4 has ushered in a new era of exploration for the capabilities of Large Language Models. With a flurry of AI startups popping up, it's crucial to identify those that will deliver sustained value in the long term.

As a CTO, you face the decision of when and how to integrate AI, what aspects to prioritize, and whether to accelerate development now or wait for LLMs to mature further.

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SPEAKERS

Hosted by

Alberto Rizzoli
Alberto Rizzoli
Co-founder & CEO of V7
Eiso Kant
Eiso Kant
CEO & Founder, Athenian
Douwe Kiela
Douwe Kiela
AI Researcher & Professor, Stanford University
AGENDA

What to expect

01/

A primer on the current state of LLM, what they can, and cannot do.

02/

Live panel discussion covering emerging applications, how to get started with LLMs, changes in tooling, and navigating risk.

03/

Real life examples of companies leveraging LLM to build new forms of software, enhance customer experience, and drive business growth.

04/

A live Q&A session

05/
Speakers

Hosted by

Alberto Rizzoli
Co-founder & CEO of V7

Previously CEO at Aipoly - First smartphone engine for convolutional neural networks. Management & Stats grad at Cass Business School and Singularity University. Never had a real job.

Eiso Kant
CEO & Founder, Athenian

Founder of Athenian, where we're building the ironman suit for engineering leaders. Eiso previously founded Source{d}, the first company applying AI to source code.

Douwe Kiela
AI Researcher & Professor, Stanford University

Adjunct Professor at Stanford University, previously of Hugging Face and Meta AI where Douwe co-authored the retrieval-augmented generation paper.

our vision

We’re leading the era of AI-first software

We help companies build software driven by deep learning, to make it accurate, reliable, and indistinguishable from magic.

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