DeepEvalConfident AI
|
Vizcab EvalVizcab
|
|||||
Related Products
|
||||||
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
Vizcab Eval is the solution to allow you to produce reliable, robust building ACV studies and percussive in one minimum time. Import your DPGF-type measurements and your RSET in a few clicks. Complete your entry using our research panel by keyword. Automatically associate your components and make simple corrections with our alert system. View results globally or in batches in real-time in the form of tables and graphs and validate compliance with thresholds. Identify at a glance the most impactful cards of your project, and bring efficient optimizations. Choose the most virtuous products with our scoring system of FDES. Work together and exchange easily with our fashion collaborative. Export your results in the form of graphs, and study reports according to your needs. Recover one RSEE export from your study to Excel format. You import your data directly into Vizcab Eval, and your components are automatically associated with plugs.
|
|||||
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
Companies searching for a solution to calculate, visualize, and optimize their environmental impact
|
|||||
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/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationConfident AI
United States
docs.confident-ai.com
|
Company InformationVizcab
France
vizcab.io/vizcab-eval
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Hugging Face
KitchenAI
LangChain
Llama 2
LlamaIndex
Microsoft Excel
OpenAI
Opik
Ragas
XML
|
Integrations
Hugging Face
KitchenAI
LangChain
Llama 2
LlamaIndex
Microsoft Excel
OpenAI
Opik
Ragas
XML
|
|||||
|
|
|