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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.
Key Platforms
Core Service Areas:
Low-Code Integration
Managed API Deployment
Prompt Engineering
ShipQL Query Language
Multi-Provider Access
Scalable Architecture
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.
Frequently Asked Questions About Steamship
01
What is Steamship and what services does it provide?
Steamship is a managed backend platform for AI services that allows you to build and deploy AI-powered applications without managing the underlying infrastructure. It provides access to various AI models and services from providers like OpenAI, Cohere, HuggingFace, Microsoft, and Google through a low-code framework.
02
How does Steamship simplify the development of AI applications?
Steamship simplifies AI application development by allowing users to turn prompts, prompt-chains, and basic Python code into a managed API. This enables easier scaling and sharing of AI models and services without needing extensive backend knowledge.
03
What is ShipQL and how is it used in Steamship?
ShipQL is a query language designed for AI data in Steamship. It allows users to query across model outputs, making it easier to extract and analyze data generated by various AI models integrated within the platform.
04
Do I need to have extensive coding knowledge to use Steamship?
No, you do not need extensive coding knowledge to use Steamship. The platform is designed with a low-code framework, allowing users with basic coding skills to build and deploy AI applications effectively.
05
Can I use multiple AI service providers with Steamship?
Yes, Steamship allows you to integrate and use multiple AI service providers such as OpenAI, Cohere, HuggingFace, Microsoft, and Google, providing flexibility in choosing the best models and services for your application needs.
Overall Rating
4.3
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