Controllable Agent for Complex RAG Task
  • 16:10
  • -
  • 16:30
December 17, 2024
16:30
16:10
Hall A
English | Intermediate | RAG

Many companies and businesses today seek the ability to interact with their data using Retrieval-Augmented Generation (RAG) solutions. However, what happens when the questions you ask your data are non-trivial, and simple retrieval based on semantic similarity isn't sufficient? In this lecture, we will discuss a tailored, controllable RAG agent capable of handling such complex questions.

Nir D
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Nir Diamant
AI consultant
DiamantAI

Nir Diamant is an AI consultant specializing in Large Language Models (LLMs) and Computer Vision at DiamantAI. He holds a bachelor's degree in computer engineering and a master's degree in computer science, both from the Technion. Over the past 7+ years, he has focused on machine and deep learning research and algorithms, solving real-world problems at Philips, Intel, Samsung Applied Research Groups, and in academia.

Cancellation Policy

Sponsor Cancellation:

In case of cancellation of the event, we will offer a full refund to all attendees and sponsors.

Attendee cancellations:

Up to 30 days prior to the event – 100% Refund 30-14 days prior to the event – 50% Refund No refund will be offered later than that.

Cancellation Policy

Sponsor Cancellation:

In case of cancellation of the event, we will offer a full refund to all attendees and sponsors.

Attendee cancellations:

Up to 30 days prior to the event – 100% Refund.
30-14 days prior to the event – 50% Refund.
No refund will be offered later than that.