which is best deepgram's model @Vapi

@Kavish The best Deepgram model for your needs would depend on the specific requirements of your voice application. Deepgram offers a variety of models tailored for different use cases, such as phone calls, meetings, or high-quality audio. To make an informed decision, you can review the list of available models and their descriptions on the Deepgram documentation page here: https://developers.deepgram.com/docs/models-languages-overview If you provide me with more details about your application, such as the type of audio you're working with or the features you need, I can help guide you to the most suitable model.

what is diffrence between gpt-3.5-turbo,gpt-3.5-turbo-0125,gpt-3.5-turbo-0613,gpt-3.5-turbo-1106,gpt-3.5-turbo-16k @Vapi

@Kavish The naming convention you're referring to seems to indicate different versions or configurations of the GPT-3.5-turbo model. Here's a general idea of what these could represent: - **gpt-3.5-turbo**: This is the base model name, which refers to the turbocharged version of the GPT-3.5 model, designed for faster response times and lower costs while maintaining high-quality outputs. - **gpt-3.5-turbo-0125, gpt-3.5-turbo-0613, gpt-3.5-turbo-1106**: These appear to be specific instances or updates of the GPT-3.5-turbo model. The numbers could denote internal versioning used for tracking updates, improvements, or configurations specific to certain use cases or performance enhancements. - **gpt-3.5-turbo-16k**: This might indicate a version of the GPT-3.5-turbo model that is optimized for handling inputs up to 16,000 tokens, which is significantly larger than the standard input length limit for most models. Please note that these are hypothetical interpretations, as there is no official documentation available to the public that details these specific version names. If these are internal or specialized versions of the model, the differences would be in the specific optimizations and improvements made in each version. For accurate and detailed information about these versions, you would need to refer to the official documentation or release notes provided by OpenAI, or ask support for more information.

what is diffrence between system,user and assistant @Vapi

@Kavish In the context of a conversational AI or a chatbot platform, "system," "user," and "assistant" typically refer to different components or participants in the conversation: - **System**: This refers to the underlying infrastructure or platform that enables the chatbot or AI assistant to function. It includes the software, hardware, and the set of rules and algorithms that govern how the assistant operates and interacts with users. - **User**: The user is the person who interacts with the AI assistant. Users are the individuals who ask questions, make requests, or engage in dialogue with the assistant. They are the end recipients of the information or services provided by the assistant. - **Assistant**: The assistant is the AI-powered chatbot or virtual assistant itself. It's the entity that users interact with, designed to understand user input, process it, and provide relevant responses or perform actions based on the user's requests. In a typical interaction, the user sends a message or speaks to the assistant, the system processes this input using its algorithms and data, and then the assistant provides a response to the user. The assistant acts as the interface between the user and the system, facilitating communication and service delivery.

if i not specify fallback voicemodel on vapi ai than do vapi choose best model by theirself if primary model not working @Vapi

@Kavish Yes, if you do not specify a fallback voice model on VAPI (Voice API), the system will automatically select the best available fallback model if the primary model fails. VAPI is designed to ensure continuity and the best possible performance, so it will manage the fallback process for you unless you have a specific reason to choose a different model. This feature is in place to provide a seamless experience, even in cases where the primary model might encounter issues.

@Kavish you can use deepgram nova2-phonecall model.