What is DeepEval?
It is a simple-to-use, open-source evaluation framework for LLM applications. It is similar to Pytest but specialized for unit testing LLM applications. It evaluates performance based on metrics such as hallucination, answer relevancy, RAGAS, etc., using LLMs and various other NLP models locally on your machine.
DeepEval is a tool in the Text & Language Models category of a tech stack.
Key Features
Simple functions to unit test LLM applications in the CLIGain insights to quickly iterate towards optimal hyperparametersEvaluate existing LLM applications built with other frameworks
DeepEval Pros & Cons
Pros of DeepEval
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Cons of DeepEval
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DeepEval Alternatives & Comparisons
What are some alternatives to DeepEval?
LangChain
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
Vercel AI SDK
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
Hugging Face
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
