Raycast Companion is a browser extension that enhances Raycast AI's capabilities by providing context from your browser. It enables users to summarize websites, analyze content, and automate tasks directly from their browser. The extension integrates seamlessly with Raycast, allowing for custom AI commands using the {browser-tab} dynamic placeholder.
Raycast Companion
A browser extension to provide more context to Raycast
Introduction
Feature
Summarize Focused Tab
Quickly summarize the content of your active browser tab using the built-in "Summarize Website" command.
Custom AI Commands
Create personalized AI commands that interpret and process the content of your focused browser tab.
Community Inspiration
Get inspired by the Raycast community and share your own custom commands, fostering a collaborative environment for users.
Free GPT-4o Usage
Users can access GPT-4o for free up to 20 times per day, making advanced AI capabilities accessible to all.
Browser Integration
Seamlessly integrates with your browser, providing Raycast with a better understanding of your current web content.
Dynamic Placeholder
Utilize the {browser-tab} dynamic placeholder in Raycast to create versatile and context-aware AI commands.
Privacy-Focused
Raycast Companion prioritizes user privacy, ensuring that personal data is not used for training purposes.
FAQ
What is Raycast Companion?
Raycast Companion is a browser extension that enhances Raycast AI's capabilities by providing context from your browser. It enables users to summarize websites, analyze content, and automate tasks directly from their browser.
How can I use Raycast Companion?
To use Raycast Companion, create custom AI commands with the {browser-tab} dynamic placeholder in Raycast. You can explore command examples at https://prompts.ray.so.
Is Raycast Companion free to use?
Yes, Raycast Companion is a free extension. Users can utilize GPT-4o for free up to 20 times a day.
Will my information be used for training data?
No, Raycast highly values user privacy. Your data will not be used for any training purposes. You can delete your account at any time, and all your data will be removed.
When would I need a Raycast subscription?
If the 20 free GPT-4o conversations per day do not meet your needs and you heavily rely on GPT-4o, you may consider subscribing to Raycast's affordable products.
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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The all-in-one Audio AI platform. The ultimate solution for Audio Transcription, Speech-To-Text, Audio Pen, Text-To-Speech, Video Dubbing, Live Stream Captioning.
The all-in-one Audio AI platform. The ultimate solution for Audio Transcription, Speech-To-Text, Audio Pen, Text-To-Speech, Video Dubbing, Live Stream Captioning.The all-in-one Audio AI platform. The ultimate solution for Audio Transcription, Speech-To-Text, Audio Pen, Text-To-Speech, Video Dubbing, Live Stream Caption
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