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What is eVal?

eVal provides an array of free data and analytical tools for peer companies, including historical valuation multiples, previous share price data, and comprehensive financial metrics, as well as specialized Valuation Multiples reports designed for investment and business assessments. In addition to these analytical offerings, eVal excels in delivering accurate valuations for both investments and companies. The firm employs a unique, data-centric valuation software and platform, allowing for tailored evaluations that cater to valuation experts, business owners, investors, and financial advisors. If you are a business owner seeking a valuation or an investor looking for a private company assessment to enhance your portfolio, we invite you to contact us for support with our valuation services. Furthermore, our sophisticated outlier detection feature provides valuable insights into the valuation multiples of peer groups, thereby ensuring a thorough comprehension of the market environment. This comprehensive strategy empowers clients to make well-informed choices regarding their investment approaches and helps them navigate the complexities of valuation with confidence.

What is DeepEval?

DeepEval presents an accessible open-source framework specifically engineered for evaluating and testing large language models, akin to Pytest, but focused on the unique requirements of assessing LLM outputs. It employs state-of-the-art research methodologies to quantify a variety of performance indicators, such as G-Eval, hallucination rates, answer relevance, and RAGAS, all while utilizing LLMs along with other NLP models that can run locally on your machine. This tool's adaptability makes it suitable for projects created through approaches like RAG, fine-tuning, LangChain, or LlamaIndex. By adopting DeepEval, users can effectively investigate optimal hyperparameters to refine their RAG workflows, reduce prompt drift, or seamlessly transition from OpenAI services to managing their own Llama2 model on-premises. Moreover, the framework boasts features for generating synthetic datasets through innovative evolutionary techniques and integrates effortlessly with popular frameworks, establishing itself as a vital resource for the effective benchmarking and optimization of LLM systems. Its all-encompassing approach guarantees that developers can fully harness the capabilities of their LLM applications across a diverse array of scenarios, ultimately paving the way for more robust and reliable language model performance.

Media

Media

Integrations Supported

Hugging Face
KitchenAI
LangChain
Llama 2
LlamaIndex
OpenAI
Opik
Ragas

Integrations Supported

Hugging Face
KitchenAI
LangChain
Llama 2
LlamaIndex
OpenAI
Opik
Ragas

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

eVal

Company Location

United Kingdom

Company Website

www.eval.tech/

Company Facts

Organization Name

Confident AI

Company Location

United States

Company Website

docs.confident-ai.com

Categories and Features

Categories and Features

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