安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
|
- The LLM Evaluation guidebook ⚖️ - GitHub
The LLM Evaluation guidebook ⚖️ If you've ever wondered how to make sure an LLM performs well on your specific task, this guide is for you! It covers the different ways you can evaluate a model, guides on designing your own evaluations, and tips and tricks from practical experience
- The Definitive Guide to LLM Evaluation - Arize AI
Large Language Model (LLM) evaluation is the process of systematically assessing how well your application performs when powered by an LLM It helps you understand and measure key factors like relevance, hallucination rate, latency, and task accuracy
- LLM Evaluation: Metrics, Methodologies, Best Practices
This guide provides a comprehensive overview of LLM evaluation, covering essential metrics, methodologies, and best practices to help you make informed decisions about which models best suit your needs Learn the fundamentals of AI and ChatGPT from scratch
- LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide
This article will teach you everything you need to know about LLM evaluation metrics, with code samples included We’ll dive into: What are LLM evaluation metrics, how they can be used to evaluate LLM systems, common pitfalls, and what makes great LLM evaluation metrics great
- How to Evaluate LLMs: Methods, Metrics Tools
At its core, LLM evaluation is the systematic process of assessing a model's performance and capabilities using various tasks, datasets, and metrics It examines how well an LLM understands prompts, the quality of its generated text, and the accuracy of its outputs in specific contexts
- How companies evaluate LLM systems: 7 examples from Asana, GitHub, and more
You need to choose relevant evaluation methods, design a reliable test dataset, and build a custom LLM evaluation system based on the use case your app solves, its risks, and potential failure modes We put together seven examples of how companies run LLM evals to inspire you
- How to Evaluate, Compare, and Optimize LLM Systems
Examine evaluation as a concept for LLM-based systems We'll start with a simple example and build up to evaluating a system here; we QA documents We'll also dig into how to leverage hyperparameter optimization (HPO) to find a better-tuned LLM-based system
- Master LLM Evaluation: Read Our White Paper | SoftServe
Download our white paper and learn how to streamline your LLM evaluation and elevate your systems to new standards Uncover SoftServe's advanced evaluation framework for LLMs Tackle complexity and improve performance
|
|
|