Use-Case Archives

How Bazaarvoice Navigated the Challenges of Deploying an LLM App

Bazaarvoice, a top platform for user-generated content and social commerce, has leveraged AI for much of its history — and now has a pioneering LLM app in production. At Arize:Observe…

3 minutes read

By Sarah Welsh | 3 minutes read

Use-Case

Aparna Dhinakaran and Anu Trivedi headshots

How Flipkart Leverages Generative AI for 600 Million Users

Catering customer support for 600 million users is a feat in itself. Between sessions at this year’s Arize:Observe, Flipkart’s Anusua (Anu) Trivedi talked to Aparna Dhinakaran about the company’s challenges…

3 minutes read

By Sarah Welsh | 3 minutes read

Generative AI Use-Case

LlamaIndex’s Newly-Released Instrumentation Module + Phoenix Integration

Due to the black box nature of LLMs and the importance of tasks they’re being trusted to handle, intelligent monitoring and optimization tools are essential to ensure they operate efficiently…

6 minutes read

By Evan Jolley | 6 minutes read

Generative AI Large Language Models LLMOps Phoenix Use-Case

LLM Summarization: Getting To Production

Recently, I attended a workshop hosted by Arize AI’s Jason Lapatecki and Dat Ngo on large language model summarization covering common challenges with the use case and how to evaluate…

17 minutes read

By Shittu Olumide | 17 minutes read

Phoenix Use-Case

How To Set Up a SQL Router Query Engine for Effective Text-To-SQL

This article co-authored by Dustin Ngo Large language model (LLM) applications are being deployed by an increasing number of companies to power everything from code generation to improved summarization of…

6 minutes read

By Amber Roberts | 6 minutes read

LLMOps Phoenix Use-Case

Evaluate RAG with LLM Evals and Benchmarks

Recently, I attended a workshop organized by Arize AI titled “RAG Time! Evaluate RAG with LLM Evals and Benchmarking.” Hosted by Amber Roberts – ML Growth Lead at Arize AI,…

12 minutes read

By Shittu Olumide | 12 minutes read

Generative AI Large Language Models LLMOps Phoenix Use-Case

openai function calling abstract cubist art

Calling All Functions: Benchmarking OpenAI Function Calling and Explanations

This piece is co-authored by Roger Yang, Software Engineer at Arize AI Observability in third-party large language models (LLMs) is largely approached with benchmarking and evaluations since models like Anthropic’s…

10 minutes read

By Amber Roberts | 10 minutes read

Generative AI Large Language Models LLMOps Phoenix Use-Case

Why You Need To Monitor Recommender Systems

An overview of recommendation systems, including how teams should monitor and troubleshoot models in production Learn more about how Arize helps clients observe recommendation systems, sign up for a free…

8 minutes read

By Amber Roberts | 8 minutes read

Use-Case

Blog

How Bazaarvoice Navigated the Challenges of Deploying an LLM App

How Flipkart Leverages Generative AI for 600 Million Users

LlamaIndex’s Newly-Released Instrumentation Module + Phoenix Integration

LLM Summarization: Getting To Production

How To Set Up a SQL Router Query Engine for Effective Text-To-SQL

Evaluate RAG with LLM Evals and Benchmarks

Calling All Functions: Benchmarking OpenAI Function Calling and Explanations

Why You Need To Monitor Recommender Systems

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