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What is Revolution FTO?

The documentation pertaining to the training of new officers is an essential duty that can profoundly influence legal liabilities. The caliber of training offered often plays a pivotal role in judicial proceedings. Our software, crafted by experienced experts with more than 23 years in managing field training officers (FTOs) and officer education, aims to optimize this vital task. Available online, this advanced tool allows training officers to thoroughly document the daily and monthly progress of new recruits. By entering into an annual agreement with your agency, you will have access to 24/7 support through phone, online, and face-to-face interactions, guaranteeing that help is always provided by a knowledgeable software team. This system facilitates the creation of evaluations in significantly less time than usual, while FTOs retain authority over the assessments produced. With features that finalize evaluations, once completed, they cannot be modified. The software is operable from any departmental computer, and daily logs can be seamlessly converted into comprehensive monthly reports. Trainees can log in to electronically approve their evaluations without direct intervention from their FTO. The evaluation approval process has been streamlined to a single-button function, providing a straightforward chronological display that boosts efficiency. Furthermore, the capability to generate statistical reports allows for the assessment and monitoring of police academy performance, which ultimately fosters ongoing enhancements in training methodologies. This comprehensive approach ensures that your agency is well-prepared with the necessary tools for effective officer training and oversight, paving the way for a more competent law enforcement organization.

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

Wayne Enterprises

Date Founded

1990

Company Location

United States

Company Website

revolution911.com/fto.html

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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