🦜🔗Build Robust ML Backends with Pydantic and Langchain

Author(s): Marcello Politi

Originally published on Towards AI.

Learn how to prevent users and LLMs mistakes in your code

Photo by Bradley Ziffer on Unsplash

This member-only story is on us. Upgrade to access all of Medium.

It is well known that data scientists are not usually among the best programmers. quite often, they have advanced theoretical skills, and they can do well with mathematics and statistics, but they are not able to independently develop a full-stack application, even a simple one.

I am the first to write these types of articles as an excuse to improve my programming skills myself. Today I am going to tell you about Pydantic a library that is now a standard in Python programming used mostly… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI