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How to use AI to generate text, images for free

Neural Networks 2024: Opening Doors to the World of AI for Everyone

May 22, 2024

Neural networks in 2024 have become much more accessible and convenient for ordinary users compared to previous years. Now everyone can try out the capabilities of advanced neural network models for free to solve various tasks - from text and image generation to data analysis and automation of routine processes. Let's take a closer look at how to start using neural networks for free in 2024.

Select a platform

Currently, there are several major platforms that provide free access to powerful neural network models:

  1. OpenAI Playground - One of the first and most well-known platforms. It provides access to GPT-3, GPT-3.5, GPT-4 language models, DALL-E image generation model and a number of other models. It has a user-friendly web interface.
  2. Hugging Face is an open source platform containing a large number of models for various NLP and CV tasks. Models can be run directly on the site or via API.
  3. Google Colab - Jupyter laptop service that provides free GPU/TPU access. Allows you to run open source neural networks, including your own models.
  4. MS Azure AI Studio - Microsoft's cloud platform with a large catalog of ready-made models and services. Provides a free limit of computation each month.

Beginners are recommended to try OpenAI Playground or similar services with ready-made models and simple interface. For more advanced tasks, open source platforms like Hugging Face and Google Colab are suitable.

Working with language models

Generative language models like GPT-3 are one of the major breakthroughs in AI in recent years. They are able to solve a wide range of tasks: text generation and paraphrase, answering questions, translation, code writing, and more.

To work with such models on the OpenAI Playground, you just need to enter a text prompt - a description of the desired task in natural language. For example:

“Write an advertising text to promote a new smartphone”

“Translate this text into Spanish:”

“Answer the question: [question].”

More advanced users can use additional settings (temperature, top_p, etc.) to control creativity and variety of generation.

Other platforms work similarly. On Hugging Face, to launch models, you need to specify a model name, enter text, and change settings if necessary. On Google Colab, the neural network is run in notebook cells, the code for this can be found in the documentation or examples.

Image Generation

Neural networks for generating images from textual descriptions is another revolutionary trend that has been rapidly developing in recent years. Such models as DALL-E, Midjourney, Stable Diffusion allow you to create images of any subject and style based on textual cues.

To work with DALL-E on OpenAI Playground, you need to go to the DALL-E tab and enter a text description of the desired image in English. For example:

“A cute kitten sitting in a basket in the style of Van Gogh”.

“A futuristic city skyline at night with neon lights”.

The model will generate several variants of the image, from which you can choose the best one. To achieve the desired result, the description can be refined and supplemented.

DreamStudio service provides free access to Stable Diffusion model and offers more possibilities to customize generation due to extended query language.

Other applications

Beyond text and image generation, neural networks can be used for many other tasks:

  • Chatbots and virtual assistants. Models like ChatGPT are capable of maintaining a coherent dialog on various topics, assisting in information retrieval, planning, and other tasks.
  • Text and document analysis. Neural networks can analyze the tone of texts, extract key information, check grammar and style, detect plagiarism, and much more.
  • Working with tabular data. There are models for analysis, visualization, and prediction based on structured data. Such models are available in Azure AI Studio, Google PAIR and other services.
  • Audio and video processing. Neural networks are used for speech recognition and synthesis, video content description, replacing faces and voices in videos, and other multimedia processing tasks.

Thus, free access to neural networks opens up huge opportunities for creativity, task automation, information analysis, and simplification of work in a wide range of fields. Thanks to the development of open platforms and models, the barrier to entry is getting lower and lower. Everyone can start getting acquainted with neural networks now and find ways to apply AI in their activities.

Sometimes there is a need to open separate accounts for AI. For example, if you have exhausted your free limit. Or if you need to log in to an account as if from another country - this may be necessary if working with a given neural network is limited to certain regions. In this situation, our service for Virtual numbers for SMS will help you. Register and choose a phone number of any necessary country. Under it under VPN you can register e-mail for registration and enter the AI. Have fun using it!

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