Implementing the AI model
Project: Development and integration of the Vicuna-33B AI model with API for the generation of "chat compilation".
Task: Selecting the server: Compliance with the technical requirements of the Vicuna-33B model. Assessment of value and safety. Development of the model: Installing the necessary software. Configuration and testing of the model. Development API: Supports RESTful API for the model. Implementation of methods for text generation. Safety of API. Chatting compilation: Developing the logic of compilation of chats. Integration of functions in API. Acceptance criteria: Vicuna-33B has been successfully developed and is available through the API. The API supports the “chat compilation” generation. You can use ready solutions such as fastchat or similar.
Also, the API should be asynchronous, for parallel generation through the API.
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223 2 0 Good day .
I was engaged in the development and deployment of models.
I deployed through the FastAPI and the Docker container.
In your case, you could have done through AWS SageMaker, as I had some experience with it before. It will not be a problem also to make the service on RestAPI
I will need some time to get better acquainted with the model documentation.
I will be glad to help you!
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1970 45 3 1 I write the necessary features on Python.
I do everything quality and I’m always in contact. I will be happy to cooperate with you!
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Добрый день.
Спасибо за нормальное ТЗ, я наконец-то его увидел.
Кажется, второй за время на сервисе.
По вашему заданию: особых проблем не вижу, но нужно уточнить ряд деталей:
- Сроки
- Ориентировочный бюджет
- Особые требования: масштабируемость, прокси, регион
Спасибо еще раз.
С уважением, Сергей
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Добрый день
Сроки и примерный бюджет хотелось бы получить от исполнителя.
По особым требованиям, в идеале разместить сервер в Европе.
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