7 Free AI Chatbot Platforms that are Better Than ChatGPT – Analytics Insight
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AI chatbot platforms are tools that let people build and use chatbots, which are computer programs that can have natural-language conversations with humans or other bots. One of the most widely used systems for AI chatbots is ChatGPT, which runs on GPT-3, the largest and most sophisticated language model created by OpenAI. ChatGPT can produce believable and coherent responses to any input, but it also has several drawbacks, including a lack of context, control, and personalization. As a result, some customers could favor other AI chatbot platforms over ChatGPT since they provide more functionality, customization, and dependability. 7 free AI chatbot platforms that are superior to Chatgpt are mentioned below.
Developers can build voice- and text-based chatbots using Amazon Lex, a cloud-based platform. To recognize user inputs and produce responses, Amazon Lex makes use of AI and NLP from Amazon. In addition, Amazon Lex offers channels, fulfillment, slots, prompts, confirmations, and interfaces with a variety of platforms and services. Compared to ChatGPT, Amazon Lex is said to be more conversational, scalable, and economical.
Developers can build conversational speech and text chatbots using Dialogflow, a cloud-based platform. Dialogflow analyzes user input and produces responses using Google’s machine learning and natural language processing (NLP). Along with rich UI components and statistics, Dialogflow also provides multi-language, multi-platform, and multi-device capabilities. Compared to ChatGPT, Dialogflow asserts to be more powerful, dependable, and user-friendly.
A cloud-based framework called Microsoft Bot Framework enables programmers to create chatbots that are perceptive and conversational. Microsoft’s AI and NLP are used by Microsoft Bot Framework to understand user input and produce responses. Along with adaptive dialogs, language creation, skills, channels, and interfaces with different platforms and services, Microsoft Bot Framework also provides these features. Compared to ChatGPT, Microsoft Bot Framework is said to be more thorough, reliable, and adaptable.
Developers can create enterprise-grade chatbots using the open-source Botpress platform. Botpress processes user input and produces responses using NLU and NLG. Conversational flows, modular architecture, plugins, extensions, and interfaces with a variety of platforms and services are other features supported by Botpress. Compared to ChatGPT, Botpress asserts to be more performant, extensible, and modular.
An open-source framework called Rasa enables programmers to create unique, conversational AI chatbots. Rasa understands user inputs and produces responses using natural language generation (NLG) and natural language understanding (NLU). Rasa also offers interactions with numerous channels and platforms, dialogue management, and contextual awareness. Rasa asserts that ChatGPT is less scalable, adaptable, and secure than Rasa.
An open-source framework called Wit.ai aids programmers in creating text- and voice-based chatbots. NLP is used by Wit.ai to produce responses by deriving meaning and intent from user inputs. Additionally, Wit.ai offers entity extraction, dynamic discussions, and platform and service interfaces. ChatGPT is said to be more complicated, slow, and inaccurate than Wit.ai.
A cloud-based platform called IBM Watson Assistant enables developers to create intelligent and customized chatbots. NLP and artificial intelligence (AI) from IBM are used by IBM Watson Assistant to comprehend user input and produce results. Context, memory, logic, skills, and integrations with a variety of channels and platforms are also supported by IBM Watson Assistant. ChatGPT argues that IBM Watson Assistant is more sophisticated, adaptable, and scalable.
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