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UniGPT UniGPT is a type of artificial intelligence (AI) model that combines the capabilities of both Unified and Generative models.

UniGPT is a platform that unites all GPTs in one place, providing access to advanced AI technologies
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UniGPT
UniGPT is a type of artificial intelligence (AI) model that combines the capabilities of both Unified and Generative models.
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Introduction

UniGPT is a comprehensive platform that consolidates multiple GPT models and AI technologies into a single, user-friendly interface. It provides access to advanced AI tools such as ChatGPT, Gemini, Claude, and over 20 plugins, enabling users to significantly boost their productivity. UniGPT offers a range of features including multimodal chat capabilities, file analysis, custom presets, and support for various AI models and languages.

Feature

πŸ€– Multi-AI Model Support

UniGPT integrates a wide array of AI models including:

  • OpenAI
  • Azure
  • BingAI
  • ChatGPT
  • Google (Gemini)
  • Anthropic (Claude)
  • Plugins
  • Assistants API

πŸ’¬ Multimodal Chat Capabilities

  • Upload and analyze images with Claude 3, GPT-4 (including gpt-4o), and Gemini Vision
  • Chat with files using Custom Endpoints, OpenAI, Azure, Anthropic, & Google

πŸ—ƒοΈ Advanced AI Agents

  • Work with files, Code Interpreter, Tools, and API Actions
  • Create, save, and share custom presets

🌐 Multilingual Support

  • User interface available in multiple languages:
    • English
    • Chinese
    • German
    • Spanish
    • French
    • And more

πŸ—£οΈ Speech-to-Text and Text-to-Speech

  • Hands-free chat functionality
  • Automatic audio sending and playback
  • Supports OpenAI, Azure OpenAI, and Elevenlabs

πŸ’Ύ Conversation Management

  • Edit, resubmit, and continue messages with conversation branching
  • Fork messages and conversations for advanced context control
  • Import conversations from LibreChat, ChatGPT, Chatbot UI
  • Export conversations as screenshots, markdown, text, json

πŸ” Search Functionality

  • Search all messages and conversations

πŸ”Œ Plugin Integration

  • Web access
  • Image generation with DALL-E-3
  • Additional plugins available

πŸ’³ Flexible Payment Options

  • Stripe secure payment
  • Supports bank cards, Link, Google Pay, Alipay, and more

FAQ

How can I start using UniGPT?

UniGPT offers a free plan for all users to explore its features and tools. You can start by visiting the platform and experimenting with different AI models and plugins to find what works best for you. For extended access beyond free usage limits, subscription options are available.

What pricing options does UniGPT offer?

UniGPT provides a free plan as well as various subscription options to cater to different user needs. Specific pricing details can be found on the UniGPT website.

Is my information used for training data?

No, UniGPT prioritizes user privacy and does not use your data for any training purposes.

Can I generate images using UniGPT?

Yes, UniGPT incorporates DALL-E-3's text-to-image generation capability, allowing you to create images based on text prompts.

How many GPT models are available on UniGPT?

UniGPT offers access to nearly 200,000 GPT models, covering a wide range of applications for work, study, and everyday life.

Latest Traffic Insights

  • Monthly Visits

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  • Bounce Rate

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  • Pages Per Visit

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  • Time on Site(s)

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  • Global Rank

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  • Country Rank

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Recent Visits

Traffic Sources

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  • Paid Referrals:
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Related Websites

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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Youtube VideoSynth: Summarize Youtube Videos

This tool uses artificial intelligence to create short summaries of YouTube videos. 

Simply paste the YouTube video URL into the input field, and VideoSynth will generate a concise summary of the video's content.
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Summarize YouTube Video Transcripts Using AI This is a powerful tool for quickly understanding the main points of long videos. Here's how it works: 1. Get the Transcript: You'll need a text transcript of the YouTube video. Many videos have automatic captions, or you can use a transcription service. 2. Choose an AI Summarizer: There are many free and paid AI summarization tools available online. Some popular options include: * OpenAI's GPT-3: A powerful language model that can generate high-quality summaries. * Google Cloud AI Platform: Offers a variety of AI services, including text summarization. * Hugging Face Transformers: An open-source library with pre-trained summarization models. 3. Input the Transcript: Paste the transcript into the AI summarizer. 4. Generate the Summary: The AI will analyze the text and generate a concise summary of the video's main points. 5. Review and Edit: Read through the AI-generated summary and make any necessary edits to ensure accuracy and clarity. Let me know if you'd like more details on any of these steps!

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