AI has to do with theory and methods to build machines that think and act like humans. AI is a discipline and ML(MACHINE LEARNING) is a subfield, ML gives the computer the ability to learn without explicit programming.
The two common models of ML’s are: –
- Supervised which is called a labelled day which is a data which comes with a tag.
- Unsupervised which is called an unlabeled data which is data which comes without a tag.
Generative AI is basically refers to system which is designed to generate new content like images, text, music and code as well, based on what sort of information or data we provide them , they basically group all the data given by us to a form of a information and give us an active response.
Unlike the traditional AI’s which classifies only existing data and doesn’t generate a new set of information provided through the data.
Generative AI is usually trained AI’s by humans and there are some common examples including: –
Music composition – GEN AI and compose a new type of music using the original pieces of various music.
Code GEN – there r different types of AI models like Copilot which helps developers solve the existing code related problem with the data provided on coding to them.
Text GEN – various AI models in today’s generation can write types of essays, poems, or stories by generating the human like text based on the given prompt.
Image GEN – models like Midjourney bot or Leonardo.ai can create various types of images with realistic and high quality picture using the existing textual descriptions.
There are various types of application of GEN AI: –
Design and art
Content creation
Healthcare
Education
Entertainment and what not.
These GEN AI’s are very needed in our day to day lives to make our life easier and simpler
Hence there are many implications and challenges as well like ethics and misuse of the information, job displacement might be a major factor, certain technical limitations or Quality and Bias.
Because of these reasons AI’s requires careful consideration on what information to be shared and what not because it may cause a broader impact on society as its rapidly evolving field with vast potential coming our way.
Gen AI in business: –
Due to its automated content generation it can produce blog posts or social media updates or even market a copy which isn’t as great at a human creative mind but yes it still can!. And because of its personalized marketing it can perosnalize email copys and advertise it to different users all at once by providing different recommendations based on a certain user behaviour.
It can also do product designing, yes i know u might be thinking that they might not be as good as a human design but yes they do a decent task to grandstand any human being.
its market research and analysis could be the best one yet because it helps decrease our work atleast by some percentage.
GEN AI can be of great use if used correctly , it just requires patiance and a little bit of creativity on writing a prompt.