Coursera Summary with ChatGPT and Take Notes is a Chrome extension designed to enhance learning efficiency on the Coursera platform. It utilizes ChatGPT technology to generate summaries of course content and provide transcripts with timestamps. This tool allows users to quickly grasp key points from Coursera courses without watching entire videos.
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
Automate Your Learning: Coursera Videos Transcript and Summary with ChatGPT
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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
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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
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* 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
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Try it out today and take your learning to the next level!
Introduction
Feature
Instant Timestamps
Click timestamp icons to easily locate the transcript of the current moment in course videos.
Auto-Scroll Transcripts
Enable auto-scroll to have transcripts follow along as you watch course videos.
One-Click Copy
Seamlessly copy entire automatically generated transcripts, summaries, and Coursera notebooks.
Customizable Settings
Personalize output language, ChatGPT prompts, text formats, and more based on your needs.
Easy-to-Use Interface
- Go to the Coursera website
- Select a course video
- Click the "Transcript & summary" button
- If logged into chat.openai.com, click "View Summary with ChatGPT"
- Use the "Copy" icon to get the course summary
Free with Premium Options
The extension is free to use, with optional premium features and subscriptions available.
FAQ
What is ChatGPT?
ChatGPT is an AI chatbot developed by OpenAI, based on their GPT series of large language models. It can engage in conversations, respond to requests, write stories, debug code, and perform creative writing tasks.
What is a Coursera summary?
A Coursera summary is an AI-generated overview of the content in a Coursera course video. It provides the main topic and important information without requiring users to watch the entire video.
Do I need a ChatGPT/OpenAI account to use this extension?
Yes, you must have a ChatGPT account to generate video summaries. You can create a free account at chat.openai.com, where you can also find or generate your OpenAI API key.
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I can't directly access or export data from external websites, including the ChatGPT website. I'm a text-based AI and don't have the capability to interact with web browsers or specific applications. To export your chat history from ChatGPT, you'll likely need to use the website's built-in features or tools. Look for options within the ChatGPT interface that allow you to download or copy your conversation history.
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Hints Playbook AI This playbook provides guidance on how to effectively use hints to improve the performance of AI models. Understanding Hints Hints are additional pieces of information provided to an AI model to guide its output. They can take various forms, such as: * Textual prompts: Direct instructions or suggestions. * Examples: Demonstrating the desired output format or style. * Constraints: Specifying limitations or boundaries for the response. Types of Hints * Zero-shot: Hints are provided without any examples. * Few-shot: A small number of examples are given to illustrate the desired output. * Fine-tuning: Hints are incorporated into the training data to adjust the model's behavior. Best Practices for Using Hints * Be specific: Clearly articulate what you want the AI to do. * Provide context: Give the model enough background information to understand the task. * Use examples: Demonstrate the desired output format or style. * Iterate and refine: Experiment with different types and formats of hints to find what works best. * Evaluate results: Assess the quality of the AI's output and adjust hints accordingly.
Hints Playbook AI This playbook provides guidance on how to effectively use hints to improve the performance of AI models. Understanding Hints Hints are additional pieces of information provided to an AI model to guide its output. They can take various forms, such as: * Textual prompts: Direct instructions or suggestions. * Examples: Demonstrating the desired output format or style. * Constraints: Specifying limitations or boundaries for the response. Types of Hints * Zero-shot: Hints are provided without any examples. * Few-shot: A small number of examples are given to illustrate the desired output. * Fine-tuning: Hints are incorporated into the training data to adjust the model's behavior. Best Practices for Using Hints * Be specific: Clearly articulate what you want the AI to do. * Provide context: Give the model enough background information to understand the task. * Use examples: Demonstrate the desired output format or style. * Iterate and refine: Experiment with different types and formats of hints to find what works best. * Evaluate results: Assess the quality of the AI's output and adjust hints accordingly.Hints automatically updates CRM fields from video calls. Keep your CRM up-to-date.
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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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Send custom prompts, generate content, summarize links, entire web pages, YouTube videos, and code, and much more! All powered by GPT-4 ⚡️
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JustRecap extracts summaries and key moments from videos so you can learn more in less time.
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Universal Chat AI - Chat GPT 4 Turbo Accessible Across All Websites With the advent of advanced language models, we are proud to introduce the Chat AI - Chat GPT 4 Turbo, a revolutionary AI-powered chatbot designed to provide seamless and intelligent conversations across all websites. This innovative technology enables users to engage with a highly advanced language model, offering unparalleled conversational experiences. Key Features: * Omnipresent Accessibility: Chat GPT 4 Turbo is accessible across all websites, allowing users to interact with the AI chatbot from anywhere, at any time. * Enhanced Conversational Capabilities: Powered by cutting-edge language models, Chat GPT 4 Turbo understands and responds to user queries with unprecedented accuracy and context. * Seamless Integration: Effortlessly integrate Chat GPT 4 Turbo into any website, ensuring a unified and engaging user experience. Unlock the Power of Conversational AI: Experience the future of chatbots today with Chat AI - Chat GPT 4 Turbo. Discover how this groundbreaking technology can transform the way you interact with websites, providing unparalleled convenience, efficiency, and personalized experiences.Chat AI will help you highlight summaries, create images, make better translations, fix errors, and more on any page on the web.
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