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Steamship

Prompts

Freemium

Steamship: A Managed Backend for AI Services If you are looking for a way to build and deploy AI-powered applications without worrying about the infrastructure, you might want to check out Steamship. Steamship is a platform that lets you use various models and services from providers like OpenAI, Cohere, HuggingFace, Microsoft, Google and more with a low-code framework. You can turn prompts, prompt-chains and basic Python into a managed API that you can scale and share easily. You can also query across the model outputs with ShipQL, a query language for AI data.

 

Steamship has a number of features that make it attractive for developers and enthusiasts who want to ship AI faster. Some of them are:

- Full, built-in support for GPT-4. No API tokens necessary.
- Cloud-hosted AI packages that you can browse and use with a single line of code.
- Prompt APIs that let you turn GPT-3 prompts into production-ready endpoints with a few lines of Python.
- Data management that persists model output in a standardized format and lets you import, transcribe or generate text.
- Embedding search that lets you find similar texts or images based on their embeddings.
- Simple billing that consolidates training, inference, vector search and endpoint hosting.

Steamship also has a community of users who contribute and publish their own packages and prompt APIs. You can find some examples of them on the website, such as:

- keyword-generator: Generate keywords from an article or chunk of text.
- eli5: Explain difficult text to a five year old. (Or you on a slow day)
- generational-translator: Promoting understanding across generations. One phrase at a time.
- tldr: Generate a TL;DR of any text. Nobody needs to know.

To get started with Steamship, you can sign up for a free trial and install the Python library. Then you can customize your api.py file and deploy your API with a single command. You can also use Replit to run your code online. Steamship will auto-generate endpoints protected by key-based authentication and a web page where others can try your API.

If you have any questions or need help, you can reach out to hello@steamship.com or join their Discord server. You can also visit their documentation page for more information and tutorials.

Steamship is a promising platform for anyone who wants to leverage the power of AI without the hassle of managing the backend. Whether you want to build prompt APIs, embed search or full-stack applications, Steamship can help you achieve your goals faster and easier.

Pros

  • Steamship is a low-code framework that lets you build and deploy prompt APIs in seconds. You can use prompts from GPT-4 and other models without any API tokens.
  •  Steamship provides a managed backend for AI services, so you don't have to worry about infrastructure, scaling, or billing. You can focus on building your AI app with Python.
  •  Steamship allows you to mix and match models from different providers, such as OpenAI, Cohere, HuggingFace, Microsoft, Google, and more. You can also query across the results with ShipQL

Cons

  •  Steamship is still in beta and may have some bugs or limitations. For example, some users reported an error message when trying to access their packages.
  • Steamship may not support all the models or features that you need for your AI app. For example, you may want to use a custom model or a different language than English.
  •  Steamship may not be suitable for sensitive or confidential data, as it stores the model output in a standardized format. You may also need to comply with the terms and conditions of the model providers.

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