
45:00
On demand
What's next for large language models
Join us for a compelling fireside chat that will delve into the horizon for Large Language Model capabilities and tooling.
Product
V7 Darwin
Duration
45 min
Speakers



About
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. 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.
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
Speakers
Next up
Explore more webinars
More from V7
45:00

Optimize your training data pipeline for accuracy and speed
A live demo of how teams can leverage tools available to them to accelerate and automate the labelling process.
45:00

Optimize your training data pipeline for accuracy and speed
A live demo of how teams can leverage tools available to them to accelerate and automate the labelling process.
45:00

Accelerating AI product development in digital pathology with advanced workflows
Explore how to streamline the development of AI medical models using advanced workflows and automated QA.
45:00

Accelerating AI product development in digital pathology with advanced workflows
Explore how to streamline the development of AI medical models using advanced workflows and automated QA.

