DeepEval

DeepEval

Confident AI
Llama 3

Llama 3

Meta
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About

DeepEval is a simple-to-use, open source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that run locally on your machine for evaluation. Whether your application is implemented via RAG or fine-tuning, LangChain, or LlamaIndex, DeepEval has you covered. With it, you can easily determine the optimal hyperparameters to improve your RAG pipeline, prevent prompt drifting, or even transition from OpenAI to hosting your own Llama2 with confidence. The framework supports synthetic dataset generation with advanced evolution techniques and integrates seamlessly with popular frameworks, allowing for efficient benchmarking and optimization of LLM systems.

About

We’ve integrated Llama 3 into Meta AI, our intelligent assistant, that expands the ways people can get things done, create and connect with Meta AI. You can see first-hand the performance of Llama 3 by using Meta AI for coding tasks and problem solving. Whether you're developing agents, or other AI-powered applications, Llama 3 in both 8B and 70B will offer the capabilities and flexibility you need to develop your ideas. With the release of Llama 3, we’ve updated the Responsible Use Guide (RUG) to provide the most comprehensive information on responsible development with LLMs. Our system-centric approach includes updates to our trust and safety tools with Llama Guard 2, optimized to support the newly announced taxonomy published by MLCommons expanding its coverage to a more comprehensive set of safety categories, code shield, and Cybersec Eval 2.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Professional users interested in a tool to evaluate, test, and optimize their LLM applications

Audience

Anyone interested in a powerful open source large language model

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Confident AI
United States
docs.confident-ai.com

Company Information

Meta
Founded: 2004
United States
llama.meta.com

Alternatives

Alternatives

Claude Haiku 3

Claude Haiku 3

Anthropic
Arize Phoenix

Arize Phoenix

Arize AI
Vertex AI

Vertex AI

Google
Llama 2

Llama 2

Meta

Categories

Categories

Integrations

Ragas
AiAssistWorks
AnotherWrapper
C++
CSS
Decopy AI
Expanse
Firecrawl
Hyperbolic
LM-Kit.NET
OpenRouter
PHP
Revere
Riff
Roost.ai
Scout
Tinker
Venice.ai
Wordware
YouPro

Integrations

Ragas
AiAssistWorks
AnotherWrapper
C++
CSS
Decopy AI
Expanse
Firecrawl
Hyperbolic
LM-Kit.NET
OpenRouter
PHP
Revere
Riff
Roost.ai
Scout
Tinker
Venice.ai
Wordware
YouPro
Claim DeepEval and update features and information
Claim DeepEval and update features and information
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Claim Llama 3 and update features and information