CustomGPT.ai

Website

customgpt.ai

Pricing URL

Official CustomGPT.ai Pricing

$ Details

paid Free Trial $99.0 / Monthly

Release Date

2023 February

Categories

#Chatbots #AI #Customer Support #Chatbot Platforms & Tools #Productivity #Customer Service #Business Productivity #Automation Tools

Startup details

Country

United States

State

Massachusetts

Rasa Core

Website

rasa.com

Pricing URL

-

$ Details

Release Date

-

Categories

#Chatbots #CRM #Chatbot Platforms & Tools #Customer Interaction

CustomGPT.ai features and specs

• High Accuracy
  Our anti-hallucination technology delivers industry-leading precision.
• Extensive Document Support
  Ingests 1400+ document types and handles over 60 million words.
• Multilingual Integration
  Supports 92 languages and sitemap integration.
• Multiple AI Agents
  Create up to 10 AI agents per standard account.
• Flexible Deployment
  Deploy via live chat, website embed, SGE, API, or AI assistant.
• Citations
  Includes citations for credible responses.
• SOC-2 Compliant
  Meets high security and privacy standards.

Rasa Core features and specs

• Open Source
  Rasa Core is open source, which means it is free to use and you can modify the code to suit your needs. This encourages customization and transparency, allowing developers to adapt the framework to specific requirements without incurring additional costs.
• Customizability
  Rasa Core allows for high customization of bot behaviors using Python, enabling developers to create very complex and tailored conversational models. This flexibility is beneficial for projects with specific or unique requirements.
• Machine Learning-Based
  By using machine learning to manage dialogues, Rasa Core can handle unexpected dialogue flows and generalizes better across unseen dialogue turns, offering better user experience compared to rule-based systems.
• Strong Community Support
  Being a popular open-source project, Rasa has an active and helpful community, which can be a valuable resource for troubleshooting, sharing best practices, and collaborating on enhancements.
• Integration Capabilities
  Rasa Core is designed to be easily integrated with various messaging platforms and APIs, enabling seamless deployment across different channels like Facebook Messenger, Slack, and more.

Possible disadvantages of Rasa Core

• Complexity
  Implementing Rasa Core can be complex, especially for beginners, as it requires understanding machine learning principles and Python programming. This can be a steep learning curve for teams without prior experience.
• Resource Intensive
  Running Rasa Core effectively can require significant computational resources, particularly for large-scale applications or when training complex models, which could be a limitation for smaller teams or projects.
• Lack of Built-In Analytics
  Rasa Core does not offer built-in analytics to track and monitor conversation performance directly. Developers need to implement additional tools or systems to gather and analyze user interaction data.
• Manual Training Data Preparation
  Setting up Rasa Core requires a substantial amount of training data that needs to be labeled manually, which can be time-consuming and requires meticulous effort to ensure quality and accuracy.
• Steeper Learning Curve
  Due to its architectural complexity and the need for coding, users without a technical background might find it challenging to grasp and deploy Rasa Core effectively compared to other more user-friendly platforms.

The Easy Way To Transform Customer Experiences With AI- CustomGPT

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