LLM Evaluation for Production Enterprise Applications

Опубликовано: 23 Июль 2024
на канале: Snorkel AI

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What is the biggest blocker of Enterprise LLM applications? Evaluation.

Without proper evaluation, enterprises cannot know if their specialized LLM applications answer users' questions correctly, abide by company and legal guidelines, and fit the organization's desired tone and format.

In this video, Snorkel AI founding engineer Vincent Sunn Chen walks through:

How evaluation blocks (and can unblock) enterprise LLM applications.
Common metrics on which enterprises might want to evaluate LLMs.
Three common approaches to evaluating LLMs
OSS benchmarks and metrics
LLM as judge
Human annotation (in-house and outsourced).

Chen ends the presentation by showing how the Snorkel Flow AI data development platform enables faster, better, and more scalable LLM evaluation for enterprise tasks.

This is an excerpt from a longer webinar. See the full event here: • How to Evaluate LLM Performance for Domain...

Timestamps:

00:00 Introduction
00:02 Importance of LLM Evaluation
01:14 Definition of Good Performance
02:56 Use Case Specific Evaluations
04:10 Challenges in Current Evaluation Approaches
05:48 Common Approaches to LLM Evaluation
06:48 Open Source Benchmarks
08:01 Using LLMs as Judges
09:40 Human Annotation Approaches
11:17 Custom Evaluations for Enterprises
13:27 Specialized Evaluation Needs
15:17 Building Scalable Evaluations
16:20 Workflow for Custom Evaluations
18:09 Creating a Golden Data Set
20:59 Encoding Acceptance Criteria
21:53 Defining Slices for Evaluation
22:21 Producing Evaluation Reports
23:48 Summary and Next Steps

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