Using Generative AI Models - Guide to use various Generative AI Models available today
Generative AI is buzzword these days due to availability of end user applications such as ChatGPT and Google Bard, which is offering various types of content generation services. These days ChatGPT and Google Bard is very popular among the Internet users and various business users due to its Generative AI features. People are using these tools for content generation, marketing content creations, email writing and many more. So, If you are not aware of Generative AI then it's high time to start understanding these technologies and master them fast.
In this section we will explore various Generative AI models available on the Internet and understand their capabilities. You will also know how and when to use the specific tools for the content generations work. In order to be competitive in the market you should learn these technologies ASAP. If you don't know anything about Generative AI then visit the Generative AI tutorials section and start learning.
What is Generative AI?
Generative AI is known as Generative Artificial Intelligence and its subset of the Artificial Intelligence that is capable of generating the new contents such as text, images, email, email reply, audio generation, 2 D images generation, 3D images generation, voice over and so on. Generative AI is a large model which learns from the dataset given for the model training. Such model training is very expensive and employs a large number of GPU clusters. These trained models are so powerful that they can generate realistic content such as blog posts, images and videos.
These models are able to generate content which looks human written and highly realistic. Due to these capabilities many companies are using these models to create contents, images and videos for their advertising. People are also developing content for their websites and YouTube channels. These Generative AI models are being used in the gaming, education, medicine, entertainment, shopping portals and in the product designing. This list is very small and there are many broad uses of Generative AI technologies in day-to-day life and businesses.
AI Technologies behind Generative AI
Generative AI is the sub-set of Artificial Intelligence and Deep Learning technologies that uses advanced AI techniques such as Deep Learning & Neural Networks to create highly intelligent models. These models are then trained with the datasets such as texts (books, blogs, emails samples etc..) , images and videos to gain the intelligence in the model. We trained models capable of generating various types of contents. It can also write books and even compose music.
Examples of Generative AI
Now we will explore the examples of Generative AI in real-life.
Realistic Text Generation
Suppose you have to write an email to apply for a job, then you can easily use ChatGPT to write/draft an email for you. So, this is the very simple example of Generative AI in the generation of the text. Generative AI is a large language model (LLM) that understands your input and generates the content as its response to the input. You can ask ChatGPT or Google Bard to write the outline of a blog for your website.
For text generation Generative AI model is developed using the Recurrent Neural Networks (RNNs) or Transformer model, which is then trained with a large amount of contextually relevant texts. Such models are useful in creating chatbots, context generation, QA and many such activities.
Realistic Image Generation
If you are looking for the solution to create different types of realistic images then the Generative AI models is for you. Generative AI models can be used to create high quality images, paintings, graphics, 2D and 3D images on all the topics. You will be able to create such images by providing proper prompts to the Generative AI models.
The Recurrent Neural Networks (RNNs) or Transformer model is used to train with the large sample data set of images, painting etc.. The training costs of these are very huge, So, companies are charging for using such models. But you will be able to create images as per your requirements fast.
Generative Adversarial Networks (GANs) is also being used for the generation of images and graphics. There are many use cases of image generation in Generative AI.
Composing Music
Composing Music through models is another area where Generative AI is being used heavily. If you are planning to make your video advertisement or YouTube video and you are looking for the music, then Generative AI is the best option for you. Generative AI model uses existing music data for training, once the model is trained it can be used for composting the music.
Video Generation
Generative AI is so powerful that it can even generate videos as per user inputs. So, if you are looking for some video for your project work then you can use such models. These modes are well capable of generating the videos as per the user's input.
Generation of Virtual Characters (Avatars)
Generative AI can be used to generate realistic Virtual Characters and Avatars, these days such virtual characters are being used in creating different types of media content. For example, such realistic characters are able to show realistic expressions, lips matching and speech patterns. Generative AI can be used to generate impressive outputs to make highly engaging media contents.
Using Generative AI Models
There are many Generative AI models on the Internet which are trained with many different data types. These models can be used in industries to generate media content to meet the requirements of specific use cases.
Let's see the various pre-trained Generative AI models available now.
ChatGPT
ChatGPT is a powerful language model for the generation of text content of different types. It is used by millions of users around the world. But there are many limitations of ChatGPT. This model can also translate the text. ChatGPT is trained on the 2021 data and it's not able to answer the latest questions. Sometimes it may give false information or inappropriate information.
Stable Diffusion
The Stable Diffusion is an art image generator model that can generate art based on the text input given to it. It can generate a good image but there are limitations of this model as well. Sometimes it may generate images that include the part of copyrighted images from different authors.
DALL.E2
The DALLE.E2 is another popular Generative AI model for generating images from the simple text input to the model. This model can generate quality and realistic images and arts. There are limitations of this model as well, for example it might include the copyrighted images from different authors.
AIVA
The AIVA is a Generative AI model for composing royalty free music. This model also might include the substantial part of music from other authors copyrighted soundtracks.
Explainpaper
The Explainpaper model takes a paper as an input and then provides the explanation of the paper to the user. This model is good for understanding the complex text of a paper.
Jasper.ai
It's a language model targeted to the enterprise user for creating the content for their website, marketing, emails, social media posts and many more. This is a paid model and a little expensive.
Gen-1 Runway
This a Generative AI model for generating videos from the image and text inputs. Model can generate realistic videos from the image and text inputs.
GitHub Copilot
GitHub Copilot is a Generative AI model that can generate programming code based on the user's simple text input. It is paid and may generate code having copyrighted code.
What is the prompt?
All these Generative AI models take input from the user and this input is called prompt. For example if you have to generate an email reply to your new customers then you can ask ChatGPT to "Generate email reply for a new customer signed up on the computer product website". Based on this input ChatGPT will generate a sample email reply for you.
In this section we have understood the various types of Generative models and learned how their AI Models can be used to help in increasing productivity.
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