for LTMs and Structured Data

Join us for an insightful evening with FUNDAMENTAL as we delve into the limitations of Large Language Models (LLMs) and discover why Large Tabular Models (LTMs) are now gaining traction in the enterprise sector! 🔍

What to Expect:
We'll explore how LLMs have revolutionized our interaction with unstructured data, yet many enterprises still rely heavily on structured datasets that house critical information. 🌟
These structured tables can hold trillions of dollars in value, but traditional LLMs struggle with the complexity involved. Learn how LTMs, specifically designed to tap into the predictive capability of structured enterprise data, are changing the game.

Expect a relaxed, conversational atmosphere with engaging discussions and ample networking opportunities! 🤝

Key Discussion Points:

• Understanding why LLMs falter in basic tabular prediction tasks and addressing our overconfidence in their numerical skills.
• The relevance of simpler methods like decision trees in comparison to complex generative models.
• How LTMs fundamentally differ from LLMs in terms of architecture, training, and inference.
• The practicalities of deploying LTM-driven systems in enterprise environments.
• Real-world applications of LTMs that enhance accuracy and scalability across sectors like oil and gas, finance, and manufacturing.

Featured Speakers:

• Marta Garnelo from Fundamental
• Alexandre Gerbeaux from Fundamental
• Remy Thellier from Snowflake

Share Your Ideas:

If you wish to engage with our community further, consider submitting your topics for discussion: Submit Topics 📝

Sponsorship Opportunities:

We are looking for sponsors to support our event and community growth. If you are interested, please reach out!

🗺️ Location:
501 Folsom Street, 94105, San Francisco

🎟️ Admission:
Registration on AICamp website is REQUIRED for admission.