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What is Orbit Eval?

Orbit Eval is an integral component of the Orbit Software Suite, designed as an analytical tool for job evaluation. This process serves to systematically assess and rank jobs within an organization, ensuring that a uniform set of criteria is applied to each role. Utilizing analytical schemes enhances objectivity and rigor in the evaluation, thereby facilitating a structured rationale for the different rankings assigned to jobs. This approach significantly reduces gender biases by employing a consistent methodology throughout the evaluation process. Additionally, Orbit Eval is user-friendly, transparent, and assures consistency in its evaluations. With minimal training required, it can be easily operated by users. The tool is cloud-based, complete with access permissions for security. Furthermore, Orbit Eval(c) allows users to upload their existing paper-based evaluation schemes, accommodating various systems like NJC, GLPC, and others, thus providing flexibility and integration for diverse organizational needs. This capability makes Orbit Eval an invaluable resource for organizations looking to modernize and streamline their job evaluation processes.

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

Pricing not provided.
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

Turning Point HR Solutions Ltd

Company Location

United Kingdom

Company Website

www.turningpointhr.com

Company Facts

Organization Name

Confident AI

Company Location

United States

Company Website

docs.confident-ai.com

Categories and Features

Job Evaluation

Benchmarking
Compensation Management
Evaluation Reports
Factor-based Evaluation
Job Comparison
Job Description Creation
Job Scoring

Categories and Features

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