OCT 29, 2024

The Future of GenAI Fine-Tuning

Dr. Emile Contal
CTO & Co-Founder
Ching Wei Chen
VP of engineering
The Enterprise Information Retrieval Stack for Scale & Gen AI
Table of Contents
  • Introduction
  • LLMs and Knowledge Injection

  • Introducing RAGSys

  • Real-World Applications

Introductions

At Crossing Minds, we redefine user experiences through the power of personalization and generative AI. As experts in the field, we lead on this transformative journey, supporting enterprises in crafting exceptional information retrieval processes.

With an average of 10 years of experience in creating cutting-edge machine learning pipelines and leveraging the latest advancements in AI powered personalization, we are here to reshape the way content is discovered.

Our approach to Discovery Ops is revolutionizing user experiences, maximizing revenue, engagement, and retention.

LLMs and Knowledge Injection

Increases factually accuracy and stylistic consistency for domain-specific tasks. 

Supplements the LLM with task-specific data that are not part of the LLM’s training data.

Some methods are In-Context Learning (ICL), Retrieval Augmented Generation (RAG), and Fine-Tuning.

Introducing RAGSys

RAGSys brings the best of both worlds:
Fine-Tuning and RAG

Optimizing the Retrieval System
for In-Context Learning

Integrates techniques from Recommender Systems into the RAG retrieval process

Advanced capabilities:

Real-World Applications

Context: B2B Marketplace Catalog

One of our client is a leading B2B marketplace in their industry
5000+ merchants, 1M+ items
All merchants are creating items manually, creating many duplicates
They need to consolidate the items catalog

Get an overview of Crossing Minds and its features.
Find out how to take personalized experiences to the next level.
A/B test and customize the smartest recommendations for your unique scenario.
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