Conversational AI is a branch of artificial intelligence that is focused on building systems that can understand and generate human language. This can include tasks such as language translation, speech recognition and synthesis, and natural language understanding and generation. These systems can be integrated into a wide range of applications, including chatbots, virtual assistants, and customer service platforms. Some conversational AI systems are also able to use machine learning techniques to improve their performance over time as they are exposed to more data.
There are many tools and frameworks available for building conversational AI systems, some of which include:
Dialogflow: A Google-owned platform for building conversational interfaces, including chatbots and voice-powered devices.
Microsoft Bot Framework: A collection of tools, SDKs, and templates for building chatbots on various platforms including Skype, Slack, and Microsoft Teams.
Amazon Lex: A service for building chatbots and voice-powered apps for mobile and web apps and IoT devices.
Rasa: An open-source framework for building conversational AI systems, including chatbots and virtual assistants.
OpenAI GPT-3: Pre-trained language model and conversational AI Platform
Botpress: An open-source conversational AI platform for building chatbots and virtual assistants
TensorFlow: Google’s open-source library for machine learning and deep learning which is widely used in conversational AI.
These are just a few examples of the many tools and frameworks available for building conversational AI systems. Depending on the specific needs of a project, different tools and approaches may be more or less appropriate.