Tools

Explore

Videos Channels Figures

Atmrix

Tools

Explore

Videos Channels Figures

Atmrix

HC

Harrison Chase

05/28/25

@ LangChain

The evaluation process is continuous; it's not enough to just build a dataset and run it once. Ongoing evaluations are necessary to maintain quality in production systems.

Video

How to Solve the #1 Blocker for Getting AI Agents in Production | LangChain Interrupt

@ LangChain

How to Solve the #1 Blocker for Getting AI Agents in Production | LangChain Interrupt

05/28/25

Related Takeaways

Harrison Chase

05/28/25

@ LangChain

To bridge the gap from prototype to production and improve quality, using evaluations throughout different stages of development is essential.

Joe Benton

03/18/25

@ Anthropic

Creating high-quality evaluation datasets is essential for developing effective control measures, as benchmarks help optimize performance.

Andrew Ng

05/29/25

@ LangChain

Many developers overlook the importance of creating simple evaluations, which can help identify regressions and improve system performance incrementally.

Harrison Chase

05/28/25

@ LangChain

Offline evals involve running your app against a dataset before production to measure performance and track changes over time.

LangChain Cast

05/30/25

@ LangChain

An evaluation-driven development approach is essential, focusing on metrics to ensure continuous improvement, especially in accuracy for financial applications.

Joe Benton

03/18/25

@ Anthropic

Control evaluations must be rerun with each new model to ensure that monitoring systems remain effective against potential threats.

Harrison Chase

05/28/25

@ LangChain

Online evals assess the app's performance in real-time using actual production data, allowing for immediate tracking of performance.

Harrison Chase

05/28/25

@ LangChain

There are three types of evaluations: offline evals, online evals, and in-the-loop evals, each serving different purposes in the evaluation lifecycle.

a16z Cast

05/29/25

@ a16z

To ensure reliability in AI systems deployed in complex fields, we need continuous evaluation methods like Arena.