Scaling Analytical Capabilities for Increasing Client Demand
Offered By: Data Science Festival via YouTube
Course Description
Overview
Explore how NatWest Boxed scales analytical capabilities to meet growing demand from multiple clients in this 15-minute talk by Lead Data Scientist Avision Ho at Data Science Festival. Discover the innovative use of Large Language Models (LLMs) to create a text-to-SQL product that democratizes data access and provides quicker insights. Learn about the selection of open-source models like Llama3, the benefits of frameworks such as LangChain and Vanna, and the strategies employed to ensure privacy and risk compliance. Gain insights into the infrastructure required for building and deploying this solution, enabling a team of 10 data scientists and analysts to flexibly and rapidly scale their services for businesses utilizing NatWest Boxed's Banking-as-a-Service (BaaS) platform.
Syllabus
How we scale our analytical capabilities with increasing demand from multiple clients
Taught by
Data Science Festival
Related Courses
Prompt Templates for GPT-3.5 and Other LLMs - LangChainJames Briggs via YouTube Getting Started with GPT-3 vs. Open Source LLMs - LangChain
James Briggs via YouTube Chatbot Memory for Chat-GPT, Davinci + Other LLMs - LangChain
James Briggs via YouTube Chat in LangChain
James Briggs via YouTube LangChain Data Loaders, Tokenizers, Chunking, and Datasets - Data Prep
James Briggs via YouTube