Delving into Generative Artificial Intelligence

Generative Artificial Intelligence in particular and Artificial Intelligence (AI) in general, is the subject of numerous queries received by our consulting department, mainly about its use in the professional field, which is why we believe it is necessary to delve into this present and very promising technology.

Recall that Generative Artificial Intelligence (Generative AI or GAI) refers to a type of AI designed to create original content from learned patterns and rules.

Unlike other AI systems that simply analyze data or classify information, generative AI is capable of generating new and unique content. new and unique content that mimics or even surpasses the style and style and characteristics of the data it was taught.

For example, when a generative AI is trained with thousands of texts, it not only memorized them, but learned the grammar, style, common themes and structure, so that it can then write something new such as a poem, an article or even a screenplay, based on those guidelines. This also applies to other media such as images, music and video.

How does Generative AI work?

Generative AI generally works in two main phases:

Training:

The model is fed with large amounts of specific data, such as images, audio, text or even videos, so that it learns the patterns and characteristics of this data.

This phase is crucial, as AI needs a significant volume of data to identify relevant details, such as the visual style of an image or the narrative structure of a text.

Generation:

Once the training phase is complete, the model is ready to create new content and instead of replicating the original data, it uses the learned patterns to generate something that is inspired by the style or subject matter of the data, but is completely original.

In essence, the model “imagines” new content based on what it learned.

Main Generative AI Models

Generative AI includes several model architectures, among which the following stand out:

Generative Antagonistic Networks (GANs):

These networks are widely used in image generation and consist of two neural networks: a generator, which creates content, and a discriminator, which evaluates whether the content looks real or not.

By competing with each other, the generator continually improves its results, producing images that can be incredibly detailed and realistic.

Transformer Models:

Transformer models, such as GPT-3 or ChatGPT, are famous for their ability to generate smooth and coherent text. They have also proven useful in creating images from text (such as DALL-E), code generation, and machine translation, among other applications.

Applications of Generative AI

Generative AI has applications in a myriad of industries and is driving creativity in areas where automation and innovation are crucial.

Here are some of its most outstanding uses:

Text Generation:

Tools such as ChatGPT and other language models enable the creation of articles, stories, customer support autoresponders and advertising content. This is an invaluable aid for marketers, writers and media professionals.

Image Creation:

Programs such as DALL-E allow you to generate images from textual descriptions, which greatly facilitates the work of designers, advertisers and content creators.

Music Composition and Audio Creation:

Generative AI is also present in the music industry, where some models can create melodies or music tracks from instructions, being very useful for artists, music producers and audiovisual content creators.

Video Generation:

Generative AI video creation is becoming more and more advanced and can help in the production of animated sequences, special effects or even in the creation of completely new content for film and video games.

3D modeling:

Generative AI is also being used in the design of 3D objects and environments, which is very useful in the video game industry, architecture and product design.

Advantages and Challenges of Generative AI

As generative AI advances, it is important to consider both its benefits and the challenges it poses.

Advantages:

Automation of creative and repetitive tasks:

Generative AI allows creatives and developers to focus on more strategic work, while AI handles mass production or generation tasks.

Increased productivity:

From design to journalism, generative AI helps save time and resources, increasing efficiency in sectors where content is crucial.

Democratized access to advanced creative tools:

Thanks to generative AI, people without advanced technical skills can create high-quality content, lowering the barriers to entry in digital creation.

Challenges:

Ethics and privacy:

Generative AI can be used to create misleading content, such as fake news or deepfakes, and its use must adhere to the requirements of data protection regulations.

The use of AI in the company must be previously supervised by the Data Protection Delegate to ensure compliance with the LOPD and the RGPD.

Intellectual property:

Creating content from training data raises copyright and intellectual property questions, especially when the content closely resembles the original data.

Quality and precision:

While these models are impressive, they can still generate errors or inaccurate content, so it is important that people carefully review AI-created content to ensure accuracy.

Business Adapter® at your service

Generative Artificial Intelligence is revolutionizing how we create and consume content, from automating creative tasks to developing new art forms, this technology promises to be a valuable tool for anyone involved in creative processes, however, like any innovation, it also presents challenges and raises ethical and legal questions that must be addressed as this technology evolves.

Generative AI is here to stay, and its impact will only continue to grow, but harnessing its benefits and addressing its challenges responsibly will be key to ensuring that this technology develops in a positive and constructive way.

If your company is planning to allow the use of Generative Artificial Intelligence and you want to provide your employees with the basis and rules of use to ensure the security of information and guarantee the protection of personal data processed corporately, request the assistance of your consultant or contact us by email: info@businessadapter.es. You can also call 96 131 88 04, you can also leave your message in this form: