How to Try Out Google’s PaLM 2 AI Model Right Now

May. 17, 2023

After a somewhat rough start, Google seems to be back in the AI race. With the release of thePaLM 2 AI model, Google has shown that it can develop capable AI models with great efficiency and speed. And now, you can try out the PaLM 2 AI model right away using the Vertex AI platform. In this article, we have included the step-by-step process to set up and use the Google PaLM 2 model. On that note, let’s jump right in.

Step 1: Set Up Google Cloud Account

1. First of all, go tocloud.google.com/vertex-aiand click on the “Try Vertex AI free” button.

2. Next,sign in with your Google accountand fill out other details.

3. After that,add a payment methodright below. Do not worry, you won’t be charged until your free credit is exhausted. It will only verify your card with a minuscule amount.

4. Once done, you will get free Google Cloudcredits worth Rs. 24,531(~$300).

5. Now that you have created your Google Cloud account, type “Vertex AI” in the search box at the top.

6. Here, select “Vertex AI“.a under the “Products & Pages” section.

7. After that, click on “Language” under “Generative AI Studio” in the left menu.

8. Here, click on the “Create Chat Prompt” option. This will allow you to chat with Google’s PaLM 2 AI model.

9. Finally, enter a prompt and hit Enter. Youwill likely get an errorsince you have not enabled the API just yet.

10. In the pop-up box, click the “Enable” button to access the Vertex AI API. If you have not added any card, it will ask you to add a payment method and create a billing account.

11. Finally, theVertex AI APIwill be enabled.

12. Now, go ahead andtry outa chatbot based on the PaLM 2 AI model right away. The UI here looks similar to the OpenAI Playground website, which is one of thebest ChatGPT alternatives.

13. On the left, you canset the contextsimilar to OpenAI Playground. You can ask the PaLM 2 AI model to pretend to be a doctor, coder, stock analyst, or basically anything you want.

14. We asked about itsfoundation model, but it kept repeating that it’s built on Google’s older LaMDA model. At least, now, it does not say that PaLM 2 is built by OpenAI, as Anmol from our teamencountered before.

15. Furthermore, we asked the PaLM 2 AI model tofind a bug in the code, and it correctly found the error and fixed the code. We also asked it to solve a riddle and it responded with the correct answer.

I am quite amazed after interacting with the PaLM 2 AI model. This is not even the largest Unicorn model. I am chatting with thesmaller Bison AI model, and it has so far shown great promise. I threw many coding-related doubts and some tough reasoning questions at this chatbot, and it excelled at all levels.

Totest hallucination, I asked many questions about fictional places and events and it seems PaLM 2 has been tamed well from speaking outright lies. In my testing, it gave correct answers pointing to fictional events. In some cases, it simply refused to answer questions where the question was itself fictional. In some other queries, it did hallucinate but it’s common with AI models at the moment.

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