Notion AlPro is a browser extension that seamlessly integrates Notion AI with any website, allowing users to access powerful AI features without a separate subscription. This tool enhances productivity by bringing Notion AI capabilities directly to your browsing experience, making it accessible and easy to use for anyone working with web content.
Notion AI Pro
The Best Alternative to a Notion AI Subscription.
Introduction
Feature
Free Usage
Notion AlPro offers free access to Notion AI features, eliminating the need for additional subscriptions or payments. Users can install the extension and start benefiting from AI-powered assistance immediately.
Easy Integration
The extension integrates smoothly with any website, providing a user-friendly interface to access Notion AI features. This seamless integration allows users to enhance their web browsing and content creation experience effortlessly.
No Subscription Required
Unlike other Notion AI solutions, Notion AlPro doesn't require a separate subscription. This feature makes it an attractive option for users looking to leverage AI capabilities without additional costs.
Simple Setup Process
Getting started with Notion AlPro is straightforward:
- Install the browser extension
- Search for Notion in the extension's search bar
- Bind your Notion email to the extension
- Refresh the Notion page to activate AI features
Wide Compatibility
Notion AlPro is designed to work with most websites, though some may require additional setup. This broad compatibility ensures users can benefit from AI assistance across various online platforms.
FAQ
Is Notion AlPro completely free to use?
Yes, Notion AlPro is free to use with no subscription required. However, there is an option to purchase a membership through the official website for those interested in additional features.
Do I need a separate Notion AI subscription?
No, Notion AlPro does not require a separate Notion AI subscription. The extension provides access to AI features without additional subscriptions.
How do I start using Notion AI with the extension?
To start using Notion AI:
- Install the Notion AlPro extension
- Search for Notion in the extension's search bar
- Bind your Notion email to the extension
- Refresh the Notion page
Are there any tips for using Notion AlPro effectively?
Some helpful tips include:
- Ensure your Notion email is correctly bound to the extension
- Always refresh the page after binding your email to activate AI features
- Be aware that while Notion AlPro works with most websites, some may require additional setup
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Related Websites
)
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.](https://static.right-ai.com/tools/2024/7/3/chromewebstore-google-com-detail-chatgpt-for-google-for-fr-pabeminldebomngnkgffiejipjjaaogi-thumbnail-1720037311.png "Get ChatGPT for Free with Google
You can now access ChatGPT, a powerful language model, for free with Google. Here's how:
Method 1: Google Colab
* Open Google Colab ([colab.research.google.com](http://colab.research.google.com))
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = \"Your input here\"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = \"Your input here\"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.")
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.How to Add ChatGPT to All Google Searches ===================================================== Step 1: Create a Custom Search Engine -------------------------------------- * Go to the [Google Custom Search Engine](https://cse.google.com/) website and sign in with your Google account. * Click on the "New Search Engine" button. * Fill in the required information, such as the name and description of your search engine. * Click on the "Create" button. Step 2: Add ChatGPT to the Search Engine ----------------------------------------- * In the "Setup" tab, click on the "Add" button next to "Sites to search". * Enter the following URL: `https://chat.openai.com/` * Click on the "Add" button. Step 3: Configure the Search Engine -------------------------------------- * In the "Setup" tab, click on the "Edit" button next to "Search engine keywords". * Add the following keywords: `ChatGPT` * Click on the "Save" button. Step 4: Get the Search Engine Code ------------------------------------- * In the "Setup" tab, click on the "Get code" button. * Copy the HTML code provided. Step 5: Add the Search Engine to Your Browser ------------------------------------------------ * Open your browser and go to the "Settings" or "Options" page. * Look for the "Search engine" or "Default search engine" option. * Click on the "Add" or "Manage search engines" button. * Paste the HTML code you copied earlier. * Click on the "Add" or "Save" button. You're Done! =============== Now, whenever you search on Google, ChatGPT will be included in the search results. You can also use the custom search engine URL provided by Google to search directly.
193.90 M
Gemini AI for Google Gemini AI is an innovative artificial intelligence (AI) model designed to revolutionize the way Google interacts with its users. This cutting-edge technology is capable of understanding and responding to natural language inputs, making it an ideal solution for enhancing user experience on Google's platforms. Key Features: * Conversational Interface: Gemini AI enables users to interact with Google using conversational language, making it easier to find information and perform tasks. * Contextual Understanding: The AI model can understand the context of a user's query, providing more accurate and relevant results. * Personalized Experience: Gemini AI can learn a user's preferences and tailor the search results and recommendations to their individual needs. * Multitasking Capability: The AI model can handle multiple tasks simultaneously, allowing users to perform complex queries and tasks with ease. Benefits: * Enhanced User Experience: Gemini AI provides a more intuitive and user-friendly experience, making it easier for users to find what they're looking for on Google. * Improved Accuracy: The AI model's ability to understand context and nuances of language reduces the likelihood of irrelevant search results. * Increased Productivity: Gemini AI's multitasking capability and personalized experience enable users to accomplish more in less time. Potential Applications: * Google Assistant: Gemini AI can be integrated into Google Assistant, enabling users to have more natural and conversational interactions with the virtual assistant. * Google Search: The AI model can be used to improve the search engine's ability to understand complex queries and provide more accurate results. * Google Workspace: Gemini AI can be applied to Google Workspace (formerly G Suite) to enhance the productivity and collaboration capabilities of the platform.
Gemini AI for Google Gemini AI is an innovative artificial intelligence (AI) model designed to revolutionize the way Google interacts with its users. This cutting-edge technology is capable of understanding and responding to natural language inputs, making it an ideal solution for enhancing user experience on Google's platforms. Key Features: * Conversational Interface: Gemini AI enables users to interact with Google using conversational language, making it easier to find information and perform tasks. * Contextual Understanding: The AI model can understand the context of a user's query, providing more accurate and relevant results. * Personalized Experience: Gemini AI can learn a user's preferences and tailor the search results and recommendations to their individual needs. * Multitasking Capability: The AI model can handle multiple tasks simultaneously, allowing users to perform complex queries and tasks with ease. Benefits: * Enhanced User Experience: Gemini AI provides a more intuitive and user-friendly experience, making it easier for users to find what they're looking for on Google. * Improved Accuracy: The AI model's ability to understand context and nuances of language reduces the likelihood of irrelevant search results. * Increased Productivity: Gemini AI's multitasking capability and personalized experience enable users to accomplish more in less time. Potential Applications: * Google Assistant: Gemini AI can be integrated into Google Assistant, enabling users to have more natural and conversational interactions with the virtual assistant. * Google Search: The AI model can be used to improve the search engine's ability to understand complex queries and provide more accurate results. * Google Workspace: Gemini AI can be applied to Google Workspace (formerly G Suite) to enhance the productivity and collaboration capabilities of the platform.🗨️ Revolutionize Your Online Searches with Gemini AI for Google – Get Smart Answers Right Beside Google Results!
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