Training LLMs, AI for Banking, and More

How AI makes banking personalized

Author

Ankur Patel
July 25, 2024

In our latest episode of Pioneers, Matt Speare, COO of Carter Bank, reviews AI's role in community banking, from personalization to efficiency, and strategies for implementation.

Here are some highlights:

  • Discover why AI adoption in community banks is more evolution than revolution

  • Learn how combining AI with RPA could be a game-changer for banking efficiency

  • Find out why personalization is the new frontier for community banks in the AI era

Read more to discover how to build a future where technology augments our ability to serve communities better, making banking more accessible, personalized, and efficient.

When implementing AI in businesses, entrepreneurs and decision-makers often face the dilemma of choosing between off-the-shelf large language models and LLMs trained on custom data.

In this post, we address why it's worth going the extra mile to prepare your data for LLM training. If you want to learn all the ins and outs of the process, the link is in the post.

Multimodal on LinkedIn: #llm #llms #customdata #aiinworkflows

Ever wondered how training a Large Language Model (LLM) with custom data can significantly enhance its performance? Off-the-shelf models may be convenient but…

www.linkedin.com/posts/multimodalai_llm-llms-customdata-activity-7221157196372340736-UZ6s?utm_source=share&utm_medium=member_desktop

Wondering how AI can be implemented in the banking industry?

Find out in this customer story, where we explain how we built a configured AI solution for one of our fintech clients.

Key results:

  • Over 90% accuracy in transcript data extraction across diverse formats;

  • Reduced average processing time (from 5-10 minutes to just 45 seconds);

  • 90% faster decision-making in loan underwriting.