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Open ChatGPT in a New Tab You can open ChatGPT in a new tab by following these steps: #Method 1: Using the Browser's Context Menu 1. Right-click on the ChatGPT link or button. 2. Select "Open in new tab" or "Open link in new tab" from the context menu. #Method 2: Using the Keyboard Shortcut 1. Press `Ctrl + Click` (Windows/Linux) or `Cmd + Click` (Mac) on the ChatGPT link or button. #Method 3: Using the Browser's Toolbar 1. Click on the ChatGPT link or button while holding down the `Ctrl` key (Windows/Linux) or `Cmd` key (Mac). 2. Release the key after the new tab is opened. By following these methods, you can easily open ChatGPT in a new tab and start chatting without leaving your current page.

New Tab with Quick ChatGPT Access
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Open ChatGPT in a New Tab

You can open ChatGPT in a new tab by following these steps:

#Method 1: Using the Browser's Context Menu

1. Right-click on the ChatGPT link or button.
2. Select "Open in new tab" or "Open link in new tab" from the context menu.

#Method 2: Using the Keyboard Shortcut

1. Press `Ctrl + Click` (Windows/Linux) or `Cmd + Click` (Mac) on the ChatGPT link or button.

#Method 3: Using the Browser's Toolbar

1. Click on the ChatGPT link or button while holding down the `Ctrl` key (Windows/Linux) or `Cmd` key (Mac).
2. Release the key after the new tab is opened.

By following these methods, you can easily open ChatGPT in a new tab and start chatting without leaving your current page.
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Introduction

ChatGPT in New Tab is a browser extension that enhances your browsing experience by providing quick access to ChatGPT search directly from your new tab page. This efficient tool allows users to interact with ChatGPT's AI-powered capabilities with just one click, making information retrieval and task assistance more convenient than ever.

Feature

One-Click ChatGPT Access

Access ChatGPT search instantly from your new tab page, streamlining your workflow and saving time.

Dual Search Functionality

  • Use ChatGPT search with a single click
  • Access traditional search engines by pressing "Enter"

User-Friendly Design

Enjoy a minimalistic interface that prioritizes functionality and ease of use.

Privacy-Focused

Conduct private searches without any data collection, ensuring your online activities remain confidential.

Free Usage

Benefit from the extension's core features at no cost, with optional subscription plans for heavy users.

AI-Powered Tools Integration

Leverage daily free uses of GPT-4o document reading and DALL-E image generation for various tasks.

Customization Options

Personalize your new tab experience with custom bookmarks, layouts, and backgrounds.

FAQ

How do I start using ChatGPT in New Tab?

For first-time use, log in to openai.com. Subsequent uses don't require repeated logins. ChatGPT can engage in human-like conversations on various topics.

Is my data used for training purposes?

No, user privacy is prioritized. Your data is not used for training, and you can delete your account and all associated data at any time.

When should I consider a subscription?

If you exceed the 20 free GPT-4o conversations per day and heavily rely on GPT-4o, consider subscribing to our affordable products for extended access.

Can I use ChatGPT in New Tab for commercial purposes?

Yes, the extension can be used for commercial purposes without restrictions.

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PromptFolder - ChatGPT Prompt Manager
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PromptFolder - ChatGPT Prompt Manager

Save, share, and discover prompts for ChatGPT, Midjourney, and other AI tools.

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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.
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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.

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Comparing Similarity for nb.no Book and Image Search Results Let's explore how to measure the similarity between: * Book search results from nb.no (the Norwegian National Library) * Image search results from various sources This comparison can be valuable for understanding: * How well visual representations match textual descriptions. * Potential for using images to enhance book discovery. * Developing new search functionalities that combine text and image data. We can use various techniques to assess similarity, including: * Textual Similarity: Analyzing the keywords, topics, and overall content of book descriptions and image captions. * Visual Similarity: Comparing the visual features of images using algorithms like convolutional neural networks (CNNs). * Hybrid Approaches: Combining textual and visual similarity measures for a more comprehensive evaluation. By comparing similarity scores across different methods, we can gain insights into the strengths and weaknesses of each approach and identify the most effective way to connect books and images.

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Simple TODOs from Customer Feedback 

- Improve search functionality: Customers are having trouble finding specific products.
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- Implement a wishlist feature: Let customers save items they are interested in for later.
- Enhance mobile responsiveness:  The website is not displaying correctly on all mobile devices.
- Provide clearer product descriptions:  Some descriptions are too vague or lack important details.
- Offer more payment options:  Expand the list of accepted payment methods.
- Simplify the checkout process:  Reduce the number of steps required to complete a purchase.
- Improve customer support:  Make it easier for customers to contact support and get timely responses.
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