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Recommended Tools

Pricing:
View the pricing breakdown here
Key Features:
  • AI community to host and collaborate on unlimited models, datasets, and applications, as well as networking opportunities. 
  • A medium for Machine Learning development and tooling
  • Provides open-source stacks for users to engage in modalities/build a portfolio
  • Website includes trending models, spaces, and datasets for practice/usage. (credit)
Read Our Review
Pricing:

Key Features:
  • Provides a simple interface for developers to create an intelligence layer in their applications, powered by OpenAI's state-of-the-art models. 
  • The Assistants API allows you to build AI assistants within your own applications. 
  • Has instructions and can leverage models, tools, and files to respond to user queries. 
  • Supports three types of tools: Code Interpreter, File Search, and Function calling.
  • Provides supporting documents like the API reference of GPT guide (credit)
Read Our Review
Pricing:
Key Features:
  • AI platform for enterprises to build, use, and customize AI models.
  • Offers a catalog of foundation models, implements retrieval-augmented generation (RAG) and vector embeddings, hosts knowledge bases, implements fine-tuning of foundation models, and allows continued pre-training of selected foundation models, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. 
  • Use the API or GUI in the console to test various prompts and configurations with different foundation models.
  • Improves response generation by incorporating external data sources into knowledge bases, which can be queried to augment the responses from foundation models.
  • Develops customer support applications, customizes models, and boosts application efficiency. (credit)
Read Our Review
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Developer Tools

Amazon Bedrock

Recommended
Rising fast

Amazon Bedrock

If you’re an enterprise deploying AI models.
Pricing
Key Features
  • AI platform for enterprises to build, use, and customize AI models.
  • Offers a catalog of foundation models, implements retrieval-augmented generation (RAG) and vector embeddings, hosts knowledge bases, implements fine-tuning of foundation models, and allows continued pre-training of selected foundation models, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. 
  • Use the API or GUI in the console to test various prompts and configurations with different foundation models.
  • Improves response generation by incorporating external data sources into knowledge bases, which can be queried to augment the responses from foundation models.
  • Develops customer support applications, customizes models, and boosts application efficiency. (credit)

OpenAI

Recommended
Rising fast

OpenAI

The one you know and (mostly) love.
Pricing

Key Features
  • Provides a simple interface for developers to create an intelligence layer in their applications, powered by OpenAI's state-of-the-art models. 
  • The Assistants API allows you to build AI assistants within your own applications. 
  • Has instructions and can leverage models, tools, and files to respond to user queries. 
  • Supports three types of tools: Code Interpreter, File Search, and Function calling.
  • Provides supporting documents like the API reference of GPT guide (credit)

Hugging Face

Recommended
Rising fast

Hugging Face

All-in-on platform to explore/use the latest models.
Pricing
View the pricing breakdown here
Key Features
  • AI community to host and collaborate on unlimited models, datasets, and applications, as well as networking opportunities. 
  • A medium for Machine Learning development and tooling
  • Provides open-source stacks for users to engage in modalities/build a portfolio
  • Website includes trending models, spaces, and datasets for practice/usage. (credit)

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