What's Next for Large Language Models
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.
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.
Hosted by
What to expect
A primer on the current state of LLM, what they can, and cannot do.
Live panel discussion covering emerging applications, how to get started with LLMs, changes in tooling, and navigating risk.
Real life examples of companies leveraging LLM to build new forms of software, enhance customer experience, and drive business growth.
A live Q&A session
Hosted by
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.
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.
Adjunct Professor at Stanford University, previously of Hugging Face and Meta AI where Douwe co-authored the retrieval-augmented generation paper.
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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