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What is Google PaLM API & How to Use

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Hitakshi

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Google has finally released the PaLM API and Makersuite for developers. The company broke the news regarding the launch of its new API program on March 14, 2023, via its official blog post. In this blog, Google said users would get exclusive access to both tools by joining the waitlist. The API will be the entryway for developers seeking to develop generative AI models by customizing or adjusting applications.

Developers can perform various experiments with the tools to develop innovative products. The PaLM API will open doors to tremendous opportunities. But before using it, let’s see what the PaLM API is and how developers can access the tool.

What is Google PaLM API & How to Use

What is Google PaLM API?

Google PaLM API is an interface that allows developers to add PaLM (Pathways Language Model) functionalities to generative AI applications. Developers can create innovative products using the PaLM API.

The PaLM API can be used to develop various applications that offer content generation, summarization, translation, chat, and other purposes.

Google has developed a model with limited functionalities, which is small. However, the company will add other models to the API, allowing developers to develop robust applications effortlessly.

Google is also using the PaLM API to boost the performance of its existing products like Google Docs, Google Spreadsheets, Google Slides, and Gmail.

Google PaLM API Pricing

Google PaLM is not yet released to the public. Also, the company has not announced the pricing of Google PaLM. The API is still in its testing phase. So, the official price list for Google PaLM API is not available.

The company might release the Google PaLM pricing information after making the API accessible to the general public. Until then, keep checking the official Google PaLM API page for the latest information.

How to Access Google PaLM API?

Google PaLM API is not accessible to the general public. Google is still testing the API within its products. Developers willing to test the Google PaLM API must join the waitlist to access it. Once Google completes the API testing, it will shortlist developers from its waitlist and give them exclusive access to the PaLM API. Till then, you cannot access Google PaLM API.

How to Join Google PaLM API Waitlist?

Since Google allows limited developers to access the Google PaLM API, you cannot get access to the tool without joining the waitlist. You must join the waitlist and wait until Google approves your request.

You can join the waitlist by visiting its official webpage and hitting the Join Waitlist button. After clicking on the Join Waitlist button, you will be redirected to the waitlist application page.

Enter the details asked on this page and hit the Join with My Google Account button. This will successfully add you to the PaLM API waitlist. Now wait until Google responds to your application.

How to Use PaLM API?

The PaLM API is not officially available to the general public. You cannot use it directly. You need to apply for access to the tool via its waitlist. Once Google approves your application, you can access it as a developer and integrate it into other applications.

For more details on using the PaLM API for text and chat applications or embedding, visit this tutorial.

Alternatively, you can try the PaLM API using the following sample code:

$curl \

    -H ‘Content-Type: application/json’ \

    -d ‘{“prompt”: {“text”: “Write a story about a magic backpack.”}}’ \

    ‘https://generativelanguage.googleapis.com/v1beta2/models/text-bison-001:generateText?key=YOUR_KEY

Remember, you will need a Google API key to integrate the API into other applications. You can apply for the API key by joining the waitlist. And once your application is approved, use the Google PaLM API via Python, node, Swift, etc., libraries.

PaLM API Vs Makersuite

PaLM API and Makersuite are both Google products. The PaLM API allows users to integrate PaLM features into other applications and build innovative applications. It allows users to experiment with various features and data while developing the model.

Makersuite is a similar tool but with a low-code approach. Users can use Makersuite to see how a model responds to different inputs. It helps users test the performance and suggests features for improvising the app. The final version is then merged using PaLM API into the software the developer desires to build.

In a nutshell, Makersuite and PaLM API offer a fast and easy way to build innovative AI applications. However, users need to join the waitlist to access both tools.

Google PaLM API Example

Google PaLM API is not yet available to the public. However, some examples of what the API can build are as follows:

  • Wordcraft – A collaborative AI-based writing partner.
  • List it – A tool that suggests ideas based on a name or goal.
  • Quick prompt – An AI game that identifies words using a given prompt.
  • Travel Planner – An AI-based travel planner that creates itineraries for your trips.
  • Talking character – An AI-powered customizable talking agent that talks on any topic.
  • Mood Food – Your AI buddy that gives recipe suggestions based on your mood and ingredients.
  • I/O Flip – A modern way to play card games.

There are several other uses of the PaLM API. You can check the prompt Gallery for more suggestions.

Google PaLM API Reddit

Google PaLM API is a hot topic on Reddit. Reddit users are talking about this latest API and Google language model, PaLM 2, on the Reddit platform. Users are eager to know how to join the PaLM API, access PaLM 2, the PaLM API pricing, the PaLM API release date, and much more. You can visit Reddit and follow relevant threads for the latest information regarding the Google PaLM API.

Google PaLM API Documentation

Google has released the Google PaLM API documentation to help users get started with the API. It has explained the technical specifications and other information on using the API, signing up for the waitlist, and integrating it with other generative AI apps. You can visit the Google PaLM API guide using this link.

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