What is Generative AI? Generative AI is a field of artificial intelligence that focuses on generating content such as new images, text, and audio based on machine learning models. Generative AI has taken the world by storm with the introduction of platforms such as ChatGPT, Midjourney and Stable Diffusion. In this article, let’s learn with Weakhand about what Generative AI is and its applications in the Crypto market.
What is Generative AI?
Generative AI has emerged as a disruptive technology that has the potential to revolutionize various industries including the cryptocurrency world. In particular, Generative AI refers to artificial intelligence that focuses on creating content such as new images, text and sounds based on machine learning models.
What is Generative AI?
The power of Generative AI lies in its ability to generate new results that mimic human creativity, thus allowing the discovery of new ideas and possibilities. In the case of cryptocurrency, Generative AI brings innovation in various areas such as security, scalability, user experience, and predictive analytics.
How Does Generative AI Work?
Generative AI’s operating model is quite complex, but it will operate according to the following main steps:
Step 1: Collect data
To train a Generative AI model, training data must be collected from relevant sources. For example, if a user wants to create an image, data collected from existing images will be used.
Step 2: Train the model
A Generative AI model is built and trained using the collected data. Popular Generative AI models include Generative Neural Networks such as GANs (Generative Adversarial Networks) and Variational Autoencoders.
Step 3: Explore the random space
Generative AI models possess a random space called latent space in which vectors represent different aspects of the data. By changing the values in the latent space, the model can generate different versions of generative data such as images or text.
Step 4: Create new data
Once the model has been trained, it is capable of generating new data based on the latent space. For example, if the model is trained on facial images, it can create new faces that are realistic but never existed.
Step 5: Evaluate and refine
Generative models are often evaluated by comparing generated data against actual data or by using quality assessments such as fidelity, diversity, and creativity. Refinement can be performed to improve the model output.
Step 6: Application
Generative AI models have a wide variety of applications from generating new images and videos to writing novels or creating music. This technology is being widely used in many fields such as creative arts, design, entertainment and research.
While Generative AI provides the ability to generate new data, it should be noted that it can sometimes generate erroneous data. This is because the data source is initially collected before being fed into the machine learning model.
Application of Generative AI in the Blockchain Field
Generative AI can significantly impact the Blockchain world from automating development processes to creating visual effects in the metaverse or a number of other investment benefits, let’s learn about the applications of Generative AI right here:
- New digital assets: Projects can use Generative AI in developing new digital assets. Over time, new technological advances will simplify the development of custom digital assets. It will enable the development of new cryptocurrencies and lead to a more competitive cryptocurrency market.
- Digital asset portfolio management: Generative AI can also influence digital asset portfolio management. Managing a portfolio with many digital assets is challenging. Here, investors can use Generative AI to analyze the market, predict and execute transactions.
- Create image: In the metaverse, Generative AI can be applied to develop virtual worlds, objects, and characters. It can include everything from landscapes and flora to structures, furniture, and game objects. They can make virtual environments more diverse and lifelike while easing the efforts of designers and programmers.
- Music development: Generative AI can use user data to create music with more enjoyable experiences. This is extremely rewarding for creators as they can create unique musical works and sell them on leading NFT Music Marketplaces such as: Sound.xyz,…
Some Popular Generative AI Projects in the Crypto Market
The Generative AI segment in the Crypto market is still quite young and not well known by the community. Here, let’s take a look at some outstanding projects:
Numeraire (NMR)
What is Numeraire?
Numeraire is a prominent platform in the Generative AI segment designed as a software that acts as a hedge fund to allow users to trade stocks on the Ethereum Blockchain.
The idea is that users can make trades based on artificial intelligence and predictions made by a global network of data scientists using Blockchain technology to bet cryptocurrencies on a number of projects. certain guess.
Delysium (AGI)
Delysium
Delysium is a AAA game where users can immerse themselves in the open world super universe and experience the next generation Blockchain role-playing game. Delysium is developed by Kurosemi Game Developers – a team of renowned gaming industry veterans. In addition to the typical monetization mechanism of Web3 titles, Delysium also boasts advanced AI technology to deliver an immersive gaming experience.
The Delysium Metaverse consists of many different universes where each universe is run by a Delysium multiverse operator (DMO). Each player will interact with AI MetaBeings – which are non-player characters (NPCs) with the same perks as the player. These AI MetaBeings can own assets, trade, participate in various game modes, and even earn their own income. This innovative approach made Delysium the first AAA quality web3 game listed on the Epic Games Store.
Image Generation AI (IMGNAI)
Image Generation AI
- A paid version.
- High-class deer.
- Offers exclusive art styles.
- Render 4K images.
- Ability to mint images into NFTs.
The group’s roadmap includes three phases focused on enhancing liquidity, enhancing functionality, launching new models and announcing major partnerships. Going forward, IMGNAI aims to provide token holders with a share of revenue using a staking-to-earn model, contributing to its uniqueness in the AI crypto space.
summary
The emergence of Generative AI projects will bring promising applications in the crypto market. Above is all the information that I want to introduce in this article, hope everyone has received useful knowledge.
