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What is Tune AI?

Leverage the power of specialized models to achieve a competitive advantage in your industry. By utilizing our cutting-edge enterprise Gen AI framework, you can move beyond traditional constraints and assign routine tasks to powerful assistants instantly – the opportunities are limitless. Furthermore, for organizations that emphasize data security, you can tailor and deploy generative AI solutions in your private cloud environment, guaranteeing safety and confidentiality throughout the entire process. This approach not only enhances efficiency but also fosters a culture of innovation and trust within your organization.

What is Amazon Bedrock Guardrails?

Amazon Bedrock Guardrails serves as a versatile safety mechanism designed to enhance compliance and security for generative AI applications created on the Amazon Bedrock platform. This innovative system enables developers to establish customized controls focused on safety, privacy, and accuracy across various foundation models, including those hosted on Amazon Bedrock, as well as fine-tuned or self-hosted variants. By leveraging Guardrails, developers can consistently implement responsible AI practices, evaluating user inputs and model outputs against predefined policies. These policies incorporate a range of protective measures like content filters to prevent harmful text and imagery, topic restrictions, word filters to eliminate inappropriate language, and sensitive information filters to redact personally identifiable details. Additionally, Guardrails feature contextual grounding checks that are essential for detecting and managing inaccuracies or hallucinations in model-generated responses, thus ensuring a more dependable interaction with AI technologies. Ultimately, the integration of these safeguards is vital for building trust and accountability in the field of AI development while also encouraging developers to remain vigilant in their ethical responsibilities.

Media

Media

Integrations Supported

Amazon Bedrock
Amazon Web Services (AWS)
Azure OpenAI Service
ChatGPT
DigitalOcean
GPT-3.5
GPT-4o
Google Cloud Platform
Hugging Face
Llama
Llama 3
Microsoft SharePoint
Microsoft Teams
Mistral 7B
Mistral NeMo
Mistral Small
Mixtral 8x22B
OpenAI
TensorDock
Vivaticket

Integrations Supported

Amazon Bedrock
Amazon Web Services (AWS)
Azure OpenAI Service
ChatGPT
DigitalOcean
GPT-3.5
GPT-4o
Google Cloud Platform
Hugging Face
Llama
Llama 3
Microsoft SharePoint
Microsoft Teams
Mistral 7B
Mistral NeMo
Mistral Small
Mixtral 8x22B
OpenAI
TensorDock
Vivaticket

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

NimbleBox

Date Founded

2018

Company Location

United States

Company Website

tunehq.ai

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/bedrock/guardrails/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Natural Language Generation

Business Intelligence
CRM Data Analysis and Reports
Chatbot
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Categories and Features

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