SHADE is an AI-driven platform that offers access to a wide range of AI technologies for various needs. It integrates ChatGPT, GPT-4o for text generation and image understanding, and Dalle3 for image creation and document analysis. SHADE also features a unique sustainable shopping tool, allowing users to find eco-friendly fashion alternatives through visual AI.
SHADE: Stylishly Sustainable
Upgrade Your Style, Thoughtfully.
Introduction
Feature
AI-Powered Shopping Assistant
SHADE's Chrome extension enables users to shop sustainably by leveraging visual AI for product search and discovery. It provides access to over 70,000 sustainable fashion pieces from brands rated 'Good' and 'Great' by Good On You.
Magic Wand Tool
This feature helps users find alternative products with higher sustainability ratings while maintaining the desired style, streamlining the process of conscious shopping.
Vast GPT Model Library
SHADE offers access to nearly 200,000 GPT models, catering to a wide variety of applications in work, study, and everyday life.
Image Generation with Dalle3
Users can create images using Dalle3's text-to-image generation capability, integrated seamlessly with GPT-4o for a comprehensive creative experience.
Daily Free Uses
SHADE provides daily free uses of GPT-4o for document reading and Dalle's image generation, allowing users to explore a range of AI-powered tools without cost.
Privacy Protection
SHADE prioritizes user privacy, ensuring that personal information is not used for training purposes. Users have the option to delete their accounts and remove all associated data at any time.
Subscription Option
For users who require more than the 20 free GPT-4o conversations per day, SHADE offers affordable subscription plans to meet higher usage needs.
FAQ
What is SHADE?
SHADE is an AI-driven platform that provides access to a vast array of AI technologies, including ChatGPT, GPT-4o for text generation and image understanding, and Dalle3 for image creation and document analysis. It also features a unique sustainable shopping tool.
How do I use SHADE?
To use SHADE, simply add the extension to your Chrome browser. This allows you to start shopping sustainably and access various AI-powered features for different needs.
Can I generate images using SHADE?
Yes, SHADE incorporates Dalle3's text-to-image generation capability, allowing users to create images. This feature is integrated with GPT-4o for a seamless creative experience.
How many GPTs are available on SHADE?
SHADE offers access to nearly 200,000 GPT models, covering a wide variety of applications in work, study, and everyday life.
How can I maximize my use of SHADE's AI services?
You can maximize your use of SHADE by leveraging the daily free uses of GPT-4o for document reading and Dalle's image generation. This allows you to explore a vast range of AI-powered tools to support various tasks without additional cost.
Will my information be used for your training data?
No, SHADE highly values user privacy. Your data will not be used for any training purposes. If needed, you can delete your account at any time, and all your data will be removed as well.
When would I need a SHADE subscription?
If the 20 free GPT-4o conversations per day do not meet your needs and you heavily rely on GPT-4o, SHADE offers affordable subscription products to accommodate higher usage requirements.
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Coursera Summary with ChatGPT and Take Notes ===================================================== What is Coursera? Coursera is an online learning platform that partners with top universities and organizations to offer courses and degree programs in a wide range of fields. What is ChatGPT? ChatGPT is a conversational AI tool that can understand and respond to human input in a human-like way. It can be used to generate text, answer questions, and even create content. How to Use ChatGPT for Coursera Summary? You can use ChatGPT to summarize Coursera courses by: * Providing the course material or lecture notes to ChatGPT * Asking ChatGPT to summarize the key points or main ideas * Reviewing and editing the summary generated by ChatGPT Benefits of Using ChatGPT for Coursera Summary Using ChatGPT for Coursera summary can help you: * Save time by automating the summarization process * Improve understanding and retention of course material * Focus on key concepts and ideas * Enhance learning experience How to Take Notes with ChatGPT? You can use ChatGPT to take notes by: * Providing the course material or lecture notes to ChatGPT * Asking ChatGPT to generate notes or key points * Reviewing and editing the notes generated by ChatGPT * Organizing and structuring the notes for easy reference Benefits of Using ChatGPT for Taking Notes Using ChatGPT for taking notes can help you: * Save time by automating the note-taking process * Improve organization and structure of notes * Enhance understanding and retention of course material * Focus on key concepts and ideas
Coursera Summary with ChatGPT and Take Notes ===================================================== What is Coursera? Coursera is an online learning platform that partners with top universities and organizations to offer courses and degree programs in a wide range of fields. What is ChatGPT? ChatGPT is a conversational AI tool that can understand and respond to human input in a human-like way. It can be used to generate text, answer questions, and even create content. How to Use ChatGPT for Coursera Summary? You can use ChatGPT to summarize Coursera courses by: * Providing the course material or lecture notes to ChatGPT * Asking ChatGPT to summarize the key points or main ideas * Reviewing and editing the summary generated by ChatGPT Benefits of Using ChatGPT for Coursera Summary Using ChatGPT for Coursera summary can help you: * Save time by automating the summarization process * Improve understanding and retention of course material * Focus on key concepts and ideas * Enhance learning experience How to Take Notes with ChatGPT? You can use ChatGPT to take notes by: * Providing the course material or lecture notes to ChatGPT * Asking ChatGPT to generate notes or key points * Reviewing and editing the notes generated by ChatGPT * Organizing and structuring the notes for easy reference Benefits of Using ChatGPT for Taking Notes Using ChatGPT for taking notes can help you: * Save time by automating the note-taking process * Improve organization and structure of notes * Enhance understanding and retention of course material * Focus on key concepts and ideasAutomate Your Learning: Coursera Videos Transcript and Summary with ChatGPT ============================================================ Are you tired of manually taking notes while watching Coursera videos? Do you wish you had a summary of the video to review later? Look no further! With the power of ChatGPT, you can now generate transcripts and summaries of Coursera videos with ease. How it Works --------------- 1. Transcribe the Video: Use a transcription tool to convert the audio from the Coursera video into text. 2. Feed it to ChatGPT: Input the transcript into ChatGPT, and it will generate a concise summary of the video. 3. Review and Refine: Review the summary, refine it as needed, and you're good to go! Benefits ------------ * Save Time: No more manual note-taking or re-watching videos to understand the content. * Improve Retention: A summary of the video helps you retain information better and review it quickly. * Enhance Learning: Focus on understanding the concepts rather than taking notes. Get Started -------------- Try it out today and take your learning to the next level!
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)
* 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.
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