DeepEval

DeepEval

Confident AI
+
+

Related Products

  • Vertex AI
    783 Ratings
    Visit Website
  • Ango Hub
    15 Ratings
    Visit Website
  • LM-Kit.NET
    23 Ratings
    Visit Website
  • Windocks
    7 Ratings
    Visit Website
  • StackAI
    48 Ratings
    Visit Website
  • Apify
    1,051 Ratings
    Visit Website
  • Encompassing Visions
    13 Ratings
    Visit Website
  • Site24x7
    894 Ratings
    Visit Website
  • Mentornity
    99 Ratings
    Visit Website
  • Evertune
    1 Rating
    Visit Website

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

The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Configurable layouts and templates adapt to your dataset and workflow. Detect objects on images, boxes, polygons, circular, and key points supported. Partition the image into multiple segments. Use ML models to pre-label and optimize the process. Webhooks, Python SDK, and API allow you to authenticate, create projects, import tasks, manage model predictions, and more. Save time by using predictions to assist your labeling process with ML backend integration. Connect to cloud object storage and label data there directly with S3 and GCP. Prepare and manage your dataset in our Data Manager using advanced filters. Support multiple projects, use cases, and data types in one platform. Start typing in the config, and you can quickly preview the labeling interface. At the bottom of the page, you have live serialization updates of what Label Studio expects as an input.

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

Developers searching for a solution to label every data type and build custom UIs for computer vision processes

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

No information available.
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

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

Review this Software

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

Label Studio
United States
labelstud.io

Alternatives

Alternatives

Ango Hub

Ango Hub

iMerit
Vertex AI

Vertex AI

Google
Arize Phoenix

Arize Phoenix

Arize AI
Amazon SageMaker Ground Truth

Amazon SageMaker Ground Truth

Amazon Web Services

Categories

Categories

Integrations

Hugging Face
Amazon S3
Amazon SageMaker
ApertureDB
Azure Blob Storage
Docker
Flair
Galileo AI
KitchenAI
Kubernetes
LangChain
Lightly
Lightly
OpenAI
Pachyderm
PostgreSQL
PyTorch
Ragas
Tesseract
ZenML

Integrations

Hugging Face
Amazon S3
Amazon SageMaker
ApertureDB
Azure Blob Storage
Docker
Flair
Galileo AI
KitchenAI
Kubernetes
LangChain
Lightly
Lightly
OpenAI
Pachyderm
PostgreSQL
PyTorch
Ragas
Tesseract
ZenML
Claim DeepEval and update features and information
Claim DeepEval and update features and information
Claim Label Studio and update features and information
Claim Label Studio and update features and information