Glimpse is an AI-powered Gmail assistant that leverages ChatGPT4 technology to help users manage their email overload. It offers features such as email summarization, action and response highlighting, and question-answer matching within email threads. Designed to save time and improve email management efficiency, Glimpse is a free Chrome extension compatible with Gmail.
Glimpse - AI Gmail Assistant powered by ChatGPT4
AI Gmail Assistant powered by ChatGPT4
Introduction
Feature
Email Summarization
Glimpse provides concise summaries of email content, allowing users to quickly grasp the main points without reading through lengthy messages. This feature significantly reduces the time spent on email management.
Action and Response Highlighting
The extension automatically identifies and highlights proposed actions and responses within email threads. This feature ensures that users don't miss important tasks or required responses, improving overall productivity and responsiveness.
Question and Answer Matching
Glimpse matches questions with their corresponding answers in email threads. This functionality helps users quickly identify which questions still need their attention, facilitating more efficient communication.
Easy Installation and Use
Glimpse can be easily installed as a Chrome browser extension. Once installed, it seamlessly integrates with Gmail, providing instant assistance without complicated setup processes.
Free to Use
As a free extension, Glimpse offers its powerful email management features without any subscription fees or payments, making it accessible to all Gmail users.
FAQ
Is Glimpse compatible with other email clients?
Currently, Glimpse is only compatible with Gmail. However, the developers are working on expanding support to other email clients in the future.
How do I install Glimpse?
To install Glimpse, simply navigate to the Chrome Web Store and click the "Add to Chrome" button on the Glimpse extension page.
Can Glimpse handle long email threads?
Yes, Glimpse is designed to handle emails of various lengths. It's particularly useful for summarizing long emails, allowing users to focus on the most important information quickly.
Is my email data secure when using Glimpse?
While the website content doesn't explicitly mention security measures, it's important to note that as an AI-powered tool, Glimpse likely processes email data. Users concerned about privacy should review the extension's privacy policy and terms of service before installation.
Latest Traffic Insights
Monthly Visits
193.90 M
Bounce Rate
56.27%
Pages Per Visit
2.71
Time on Site(s)
115.91
Global Rank
-
Country Rank
-
Recent Visits
Traffic Sources
- Social Media:0.48%
- Paid Referrals:0.55%
- Email:0.15%
- Referrals:12.81%
- Search Engines:16.21%
- Direct:69.81%
Related Websites
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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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WriteFastAI-ChatGPT on Demand, on Any Website This is a powerful idea! Imagine being able to seamlessly integrate the capabilities of both FastAI and ChatGPT directly into any website. Here's a breakdown of what this could mean: * On-Demand AI Assistance: Users could access powerful AI tools like text generation, summarization, question answering, and more, right from the website they're already using. * Personalized Experiences: Websites could leverage AI to tailor content and interactions to individual user preferences, creating a more engaging and relevant experience. * Increased Efficiency: Businesses could automate tasks, generate reports, and analyze data faster and more accurately with the help of AI. Making it a Reality: This vision requires a combination of: * API Integration: FastAI and ChatGPT both offer APIs that allow developers to integrate their functionalities into applications. * Web Development Expertise: Developers would need to build the necessary infrastructure to connect the APIs to the website and handle user interactions. * Data Management: Websites would need to manage and secure the data used by the AI models. Potential Applications: The possibilities are endless! Here are just a few examples: * E-commerce: AI-powered chatbots could provide personalized product recommendations and customer support. * Education: Websites could offer interactive learning experiences with AI-powered tutors and personalized feedback. * News and Media: AI could be used to generate summaries of articles, create personalized news feeds, and even write original content. Let me know if you'd like to explore any of these applications in more detail!
WriteFastAI-ChatGPT on Demand, on Any Website This is a powerful idea! Imagine being able to seamlessly integrate the capabilities of both FastAI and ChatGPT directly into any website. Here's a breakdown of what this could mean: * On-Demand AI Assistance: Users could access powerful AI tools like text generation, summarization, question answering, and more, right from the website they're already using. * Personalized Experiences: Websites could leverage AI to tailor content and interactions to individual user preferences, creating a more engaging and relevant experience. * Increased Efficiency: Businesses could automate tasks, generate reports, and analyze data faster and more accurately with the help of AI. Making it a Reality: This vision requires a combination of: * API Integration: FastAI and ChatGPT both offer APIs that allow developers to integrate their functionalities into applications. * Web Development Expertise: Developers would need to build the necessary infrastructure to connect the APIs to the website and handle user interactions. * Data Management: Websites would need to manage and secure the data used by the AI models. Potential Applications: The possibilities are endless! Here are just a few examples: * E-commerce: AI-powered chatbots could provide personalized product recommendations and customer support. * Education: Websites could offer interactive learning experiences with AI-powered tutors and personalized feedback. * News and Media: AI could be used to generate summaries of articles, create personalized news feeds, and even write original content. Let me know if you'd like to explore any of these applications in more detail!A better way to use ChatGPT right from the website you are on. You can comment, explain, summarize, reword, copywrite, and reply.
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CO-STAR Prompt Template ========================== Task Description Describe the task you want the AI to perform. Be specific and concise. Input Prompt Provide the input prompt that the AI will receive. This can be a question, a statement, or a scenario. Desired Response Describe the desired response from the AI. What type of answer or output are you expecting? Constraints List any constraints or rules that the AI should follow when generating a response. This can include tone, style, or specific keywords to include or avoid. Evaluation Metrics Describe how you will evaluate the AI's response. What metrics or criteria will you use to determine the quality of the response? Example Output Provide an example of what a good response from the AI might look like. This can help clarify the task and provide a target for the AI to aim for.
CO-STAR Prompt Template ========================== Task Description Describe the task you want the AI to perform. Be specific and concise. Input Prompt Provide the input prompt that the AI will receive. This can be a question, a statement, or a scenario. Desired Response Describe the desired response from the AI. What type of answer or output are you expecting? Constraints List any constraints or rules that the AI should follow when generating a response. This can include tone, style, or specific keywords to include or avoid. Evaluation Metrics Describe how you will evaluate the AI's response. What metrics or criteria will you use to determine the quality of the response? Example Output Provide an example of what a good response from the AI might look like. This can help clarify the task and provide a target for the AI to aim for.Using CO-STAR to Make Your Prompt 10 Times More Effective!
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Here is the English translation: π AI Story Generator (free, unlimited, no sign-up)
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