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titleWhat is MediaTek DaVinci chatbot?

MediaTek DaVinci chatbot is a web-based, ChatGPT-like application based on the GAI Service Framework (GAISF). MediaTek DaVinci is designed to be a personal assistant to increase your productivity in daily work.  More than this, MediaTek DaVinci is also an open platform for developers to create plugins to integrate with existing system & services.

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titleWhat are the advantages of MediaTek DaVinci compared to other platforms (e.g., ChatGPT)?

MediaTek DaVinci is an open platform that is compatible with all language models available on the market, ranging from proprietary models like Azure OpenAI GPT-4 and Claude3, to open-source models (llama2, mistral), and even custom-tuned models (breeze-7b, breeze 8x7B by MediaTek Research tailored for Traditional Chinese). This compatibility allows for a service experience (model success stability), data sensitivity (offering on-premise deployment to keep all data within the company), and cost control (tasks vary in difficulty, with complex ones possibly requiring GPT-4, simpler ones could use Claude3 or even open-source models, achieving a more cost-effective generative AI service) that can meet enterprise requirements.

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titleWhat is the difference between developing plugins on MediaTek DaVinci and on OpenAI?

MediaTek DaVinci offers two ways to develop plugins: 1) Using the OpenAPI specification 2) Programming in Python. Thus, in terms of supporting OpenAPI, it is indeed compatible with OpenAI plugins; however, for more customized development needs, MediaTek DaVinci allows for programming in Python, enabling a more diverse development approach.

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titleWhat are the key components offered on the MediaTek DaVinci Store: "Plugin", "Prompt Template", "DVCx", "Assistant", and how can they be developed and listed?

For an introduction to the key components, their uses, and listing methods, please refer to link.

For development methods, please see here and here.

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titleWhat are Tokens? How to count tokens in my prompt & answer?
  1. Tokens are the basic unit that Azure OpenAI GPT models (including GPT3.5/4) use to compute the length of a text. They are groups of characters, which sometimes align with words, but not always. In particular, it depends on the number of characters and includes punctuation signs or emojis. This is why the tokens count is usually different from the word count.

  2. In order to know exactly how many tokens spent in your text, you need to tokenize your text, which means running a tokenizer algorithm that will count all the tokens. Sounds difficult? It’s actually as easy as copy/pasting. You can use https://www.gptcalculator.xyz/  

  3. For more information about Token

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