Introduction

In a groundbreaking move, Evidently AI, a leading provider of open-source tools for machine learning (ML) and large language model (LLM) evaluation, has unveiled a comprehensive database featuring 500 real-world case studies on the practical application of AI across various industries. This invaluable resource, first published in June 2023 and last updated in November 2024, offers a deep dive into how companies like Netflix, Airbnb, and DoorDash are leveraging AI technologies to enhance their offerings and streamline operations.

How do companies like Netflix, Airbnb, and Doordash apply AI to improve their products and processes? We put together a database of 500 case studies from 100+ companies that share practical ML use cases, including applications built with LLMs and Generative AI, and learnings from designing ML and LLM systems.

Navigating the Database

The Evidently AI database is designed to be user-friendly, with a intuitive navigation system facilitated by tags that allow users to filter case studies by industry or specific ML use cases. This feature ensures that researchers, developers, and AI enthusiasts can easily find relevant information tailored to their interests and needs.

Diverse Applications

The case studies encompass a wide range of AI applications, from generative AI and computer vision (CV) to natural language processing (NLP) and user-facing product features. Examples include recommender systems, search and ranking algorithms, fraud detection mechanisms, and even innovative features like grammatical error correction and generating outfit combinations.

I think critics severely overestimate the extent of the "therapy" people are relying on ChatGPT for. I'm sure there are narcissists problematically having ChatGPT tell them to prioritize themselves more, but it seems like the overwhelming majority of people with these sort of relationships with ChatGPT are just coming to it with various versions of "I feel sad today and I think my friends all hate me" and being reassured by ChatGPT responding something akin to "You're friends don't hate you, and if they do they're not you're friends. Everyone deserves love and you do too".

The database's focus on real-world implementations in production environments sets it apart, providing valuable insights into the practical challenges and solutions associated with deploying AI systems at scale.

A Resource for Learning and Innovation

Evidently AI, known for its open-source tools for ML and LLM evaluation, maintains this database as a valuable resource for those looking to understand or develop AI-powered products. The selection criteria for the case studies ensure that each one provides detailed insights into the design, evaluation, and implementation of AI systems, making it a rich resource for learning and innovation in the AI field.

Conclusion

As the adoption of AI technologies continues to accelerate across industries, the Evidently AI database of 500 case studies represents a significant contribution to the AI community. By providing a comprehensive and accessible resource for understanding the practical application of AI, this database empowers developers, researchers, and enthusiasts to learn from real-world examples and drive further innovation in the field.