AI-cruiter is a free, AI-powered job applicant review extension for recruiters. It streamlines the recruitment process by providing AI-generated summaries and fitness ratings for up to 2,000 job applicants per month. The extension integrates seamlessly with popular applicant tracking systems and leverages advanced language models to enhance efficiency in candidate evaluation.
AI-cruiter by WorkInBiotech.com
Free, Fast, AI-Powered Job Applicant Review for Recruiters
Introduction
Feature
AI-Powered Efficiency
AI-cruiter generates customizable summaries based on resumes and assigns fitness scores for each applicant based on the selected job description, significantly speeding up the review process.
Advanced Language Models
The extension utilizes cutting-edge large language models like ChatGPT 4 and Llama 3, enabling recruiters to review hundreds of applicants in minutes.
Seamless ATS Integration
AI-cruiter works out-of-the-box with popular applicant tracking systems including Lever, Greenhouse, JazzHR, Workable, and Breezy, ensuring a smooth workflow.
Customization and Bookmarking
Users can bookmark promising candidates and create or customize prompts for different jobs, allowing for a tailored recruitment experience.
Free Usage
AI-cruiter offers free access for reviewing up to 2,000 job applicants per month, with paid subscription options available for heavier usage.
FAQ
How does AI-cruiter work?
AI-cruiter utilizes advanced large language models like ChatGPT 4 and Llama 3 to generate AI-powered summaries and fitness ratings for job applicants, streamlining the review process.
How can I start using AI-cruiter?
To use AI-cruiter:
- Install the extension from the Chrome Web Store
- Configure it by selecting the job description and setting up the AI-powered review process
- Begin reviewing applicants, generating summaries and fitness ratings
- Bookmark promising candidates and customize prompts as needed
What are some helpful tips for using AI-cruiter effectively?
- Customize your job description for more accurate AI-powered summaries and ratings
- Use the bookmarking feature to track promising candidates
- Experiment with different prompts to optimize the AI-powered review process
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%
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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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Converting JPG Images to Text Converting a JPG image to text is a process known as Optical Character Recognition (OCR). This technology enables you to extract text from images, scanned documents, and photos. Here's how to do it: Method 1: Online OCR Tools You can use online OCR tools to convert JPG images to text. Here are the steps: 1. Upload your JPG image: Go to an online OCR tool website, such as Online OCR Tools or OCR.space, and upload your JPG image. 2. Select the language: Choose the language of the text in your image. 3. Click on "Convert": The tool will convert the image to text. 4. Download the text: You can download the extracted text as a Word document, PDF, or plain text file. Method 2: Google Drive You can also use Google Drive to convert JPG images to text. Here's how: 1. Upload your JPG image: Upload your JPG image to Google Drive. 2. Right-click on the image: Right-click on the uploaded image and select "Open with" > "Google Docs". 3. The image will be converted: Google Docs will automatically convert the image to text. 4. Edit and download: You can edit the extracted text and download it as a Word document or PDF. Method 3: Adobe Acrobat If you have Adobe Acrobat installed on your computer, you can use it to convert JPG images to text. Here's how: 1. Open Adobe Acrobat: Open Adobe Acrobat on your computer. 2. Create a new document: Create a new document and click on "Tools" > "Recognize Text". 3. Select the image: Select the JPG image you want to convert. 4. Click on "Recognize": Adobe Acrobat will convert the image to text. 5. Edit and save: You can edit the extracted text and save it as a Word document or PDF. These are the three methods to convert JPG images to text. Choose the method that works best for you!
Converting JPG Images to Text Converting a JPG image to text is a process known as Optical Character Recognition (OCR). This technology enables you to extract text from images, scanned documents, and photos. Here's how to do it: Method 1: Online OCR Tools You can use online OCR tools to convert JPG images to text. Here are the steps: 1. Upload your JPG image: Go to an online OCR tool website, such as Online OCR Tools or OCR.space, and upload your JPG image. 2. Select the language: Choose the language of the text in your image. 3. Click on "Convert": The tool will convert the image to text. 4. Download the text: You can download the extracted text as a Word document, PDF, or plain text file. Method 2: Google Drive You can also use Google Drive to convert JPG images to text. Here's how: 1. Upload your JPG image: Upload your JPG image to Google Drive. 2. Right-click on the image: Right-click on the uploaded image and select "Open with" > "Google Docs". 3. The image will be converted: Google Docs will automatically convert the image to text. 4. Edit and download: You can edit the extracted text and download it as a Word document or PDF. Method 3: Adobe Acrobat If you have Adobe Acrobat installed on your computer, you can use it to convert JPG images to text. Here's how: 1. Open Adobe Acrobat: Open Adobe Acrobat on your computer. 2. Create a new document: Create a new document and click on "Tools" > "Recognize Text". 3. Select the image: Select the JPG image you want to convert. 4. Click on "Recognize": Adobe Acrobat will convert the image to text. 5. Edit and save: You can edit the extracted text and save it as a Word document or PDF. These are the three methods to convert JPG images to text. Choose the method that works best for you!It is an online tool that uses Optical Character Recognition (OCR) to make it possible to extract text from images in JPG format.
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