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What is MindMeld?

The MindMeld Conversational AI Platform is a versatile machine learning framework built on Python, equipped with all the essential algorithms and tools needed to develop high-quality conversational applications. With a foundation rooted in extensive experience in designing and deploying advanced interfaces, MindMeld stands out for its ability to produce conversational assistants that deeply understand specific use cases or fields, ensuring highly effective and flexible interactions. It offers powerful command-line tools and Python APIs, granting the necessary adaptability to cater to various product requirements. Users gain access to state-of-the-art machine learning algorithms along with streamlined management of large custom training datasets, which is crucial for building robust applications. Moreover, the platform features enhanced entity recognition and resolution capabilities that tackle inaccuracies in automatic speech recognition (ASR), significantly boosting its effectiveness in practical scenarios. This level of adaptability and the continuous evolution of its features make MindMeld an essential resource for developers aiming to create fluid and engaging conversational experiences across different platforms. Its commitment to innovation ensures that developers can consistently meet the ever-changing demands of users.

What is Azure OpenAI Service?

Leverage advanced coding and linguistic models across a wide range of applications. Tap into the capabilities of extensive generative AI models that offer a profound understanding of both language and programming, facilitating innovative reasoning and comprehension essential for creating cutting-edge applications. These models find utility in various areas, such as writing assistance, code generation, and data analytics, all while adhering to responsible AI guidelines to mitigate any potential misuse, supported by robust Azure security measures. Utilize generative models that have been exposed to extensive datasets, enabling their use in multiple contexts like language processing, coding assignments, logical reasoning, inferencing, and understanding. Customize these generative models to suit your specific requirements by employing labeled datasets through an easy-to-use REST API. You can improve the accuracy of your outputs by refining the model’s hyperparameters and applying few-shot learning strategies to provide the API with examples, resulting in more relevant outputs and ultimately boosting application effectiveness. By implementing appropriate configurations and optimizations, you can significantly enhance your application's performance while ensuring a commitment to ethical practices in AI application. Additionally, the continuous evolution of these models allows for ongoing improvements, keeping pace with advancements in technology.

Media

Media

Integrations Supported

Aim
Azure AI Agent Service
Camunda
ChainForge
Codex CLI
Continue
Doable.sh
GPT-3
Galileo
Glassix
Ivo
Kore.ai
LiteLLM
Microsoft Intelligent Data Platform
Motific.ai
Opik
Phi-3
Python
Remote Legal
Sema4.ai

Integrations Supported

Aim
Azure AI Agent Service
Camunda
ChainForge
Codex CLI
Continue
Doable.sh
GPT-3
Galileo
Glassix
Ivo
Kore.ai
LiteLLM
Microsoft Intelligent Data Platform
Motific.ai
Opik
Phi-3
Python
Remote Legal
Sema4.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.0004 per 1000 tokens
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

Cisco DevNet

Date Founded

1984

Company Location

United States

Company Website

developer.cisco.com/mindmeld/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/cognitive-services/openai-service

Categories and Features

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

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

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

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