Introduction
Generative AI is a type of artificial intelligence that is used to create new texts, audio, images, videos and other types of multimedia content.
Unlike traditional AI, which is used for data analysis and predictions, generative AI learns patterns from the training data and generates new data.
Advanced models like GANs and Transformer-based architecture are used to generate new data. GPT is also a Transformer-based architecture model.
Generative AI applications are being rapidly adopted in industries. And its impact is being felt by even the common man.
According to a survey, 73 percent of people in India use generative AI. According to a research data, 10 percent of industries have already adopted generative AI applications. 44 percent of organizations are rapidly moving forward to move on to generative AI.
Table of Contents
- Key Features of Generative AI
- Text Generation using AI
- Image Feneration using AI
- Video Generation Using AI
- Wayforward
Key Features of Generative AI
Generative AI has many features. Some of the features are mentioned below:
For bringing innovation in industries: It is being used on a large scale for making medicines, for making vaccines for new deadly diseases, for improving product quality, for automating content creation, virtual assistance. Generative AI is being used vigorously in industries to reduce input costs and multiply returns. Till now It has been successful to a great extent in winning the trust of industrialists.
Learning Methodology: Generative AI identifies patterns in training data and creates new data based on learning. Generative AI supports multimedia i.e. many forms of data (texts, audio, video, images).
Content Creation: Generative AI can create many types of content, such as text, real-looking photos, videos, copying the real voice of a celebrity, morphing pictures, etc.
Text Generation using AI
Generative AI can show creativity like humans. It simulates decisions like humans. This is the reason why it is being largely accepted.
GenAI creates new synthetic text based on the given prompt. It is generated by using advanced large language models. Just like GPT has been trained on large datasets of human language.
How new text generation works:
Input prompt: First of all, l user provides input.
AI model processing: The AI model identifies the pattern of input data, the result is processed then the model returns new unique and correct information in the form of the result.
The content generated by the AI model sounds like real human language. Generative AI’s text generation feature can also be used for writing poems, articles, essays, or documentation. 33 percent of bloggers and writers worldwide are using text generation features.
This revolution has been made possible by the adoption of large language models like chat GPT, BART, Gemini, and CoPilot.
GenAI’s text generation feature has many applications, such as poetry writing, writing assistance, and chatbots, which are used in almost all industries and businesses.
Image Generation using AI
Image generation is another powerful application of Generative AI. Image Generation means developing graphic content.
A user passes the prompt as an instruction. The prompt is in text form that describes the image. GenAI returns a new image based on the description.
Advanced machine learning models are trained in the image generation process. Text description and image data are provided to train machine learning models. Users can create unique and high-quality images.
There are many popular tools available for image generation. Some of them are very popular and powerful such as : DALL.E by OpenAI, Leonardo AI, and Canva AI Image Generator.
Key Features of GenAI Image Generation
1. Text to Image Generation: Artificial Intelligence converts text description into visual representation.
2. Ease of Use: Applications like CANVA, and Google Cloud create new unique image content that does not require coding.
3. Creativity: AI Image Generation is used to represent creativity. Use of Image Generation It is being done for art design, different purpose graphic designs, and logo design.
Text-to-image generation is also helping many professionals earn. Beautiful, unique, and creative image creation is taking the shape of a new job role.
Video Generation using AI
With the help of Generative AI it has become possible that we can create videos according to the text description.
What kind of video does a user want, what kind of characters should be there in the video, what situations should be created in the video, for which age category is the video being created. The Generative AI model has the ability to convert all these text descriptions into video form.
By training the data on the machine learning model a new and unique video can be created. GenAI is being used for various purposes apart from text descriptions for videos. Such as for making cartoons, presenting educational content, creating projects, for commercial ads for a product.
GenAI is already being used in bulk, more than 25 percent of industries are using generative AI in their day-to-day work. According to data, by 2027, 50 percent of companies will start using generative AI. This revolution is creating opportunities and new challenges can also come up.
Generative AI results are being made more and more ethically sensitive. If you instruct generative AI to create new content that is violent or promotes nudity, then generative AI refuses to give results.
Popular Tools for Video Generation in Generative AI:
1. Synthesia: Synthesia is used for AI avatars, new video templates.
2. Steve. AI: This tool converts prompts into beautiful videos.
3. InVideo AI: It is used to create add clips, and create music.
4. Canva: Canva also provides AI-based video templates that we can customize and prepare for projects, education, and any presentation.
Features of Video Generation in AI:
1. New and unique content is being created based on text description.
2. Speed and accessibility: Canva and many other platforms generate videos in few seconds and makes this technology easy to use and accessible even for non tech people.
3. AI Avatars and Templates: They make features like Synthesia avatar accessible, create new customizable templates which are helpful in creating professional videos.
Wayforward
Generative AI is at the forefront of innovation, with several exciting research areas poised to shape its future.
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