Jul 03 2024

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In the ever-evolving world of technology, buzzwords like Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) frequently mentioned. And now with advent of Open AI Chat GPT and Gemini from google everyone is wondering there is one more buzz into the AI world

While some of the above terms are are used interchangeably, these terms represent distinct technologies with unique methodologies and applications. 1st of all ML, DL or Gen AI are all subset of overarching AI. Then there are interlinkages based on use case and depending on whom you are talking with.

For e.g.

AN NASA / ISRO scientist working on space exploration, or someone working on genetic makeup of a specific organism analysing the Genome sequencing then I am more interested in deep learning

A Data Scientist works on Machine Learning algorithms based on use cases and what exactly one wants your code to learn. There are different learning patterns that one can adopt depending on your use cases for e.g. supervised, unsupervised, semi-supervised and reinforcement learnings. Below are few examples of the same

 

Now what Gen AI is, an tool made available where it simplifies the Machine Learning models to easily interpret the English language or for that matter any language. And to do that it uses something called as Large Language Models (LLM). Now the question is why is Gen AI become suddenly so popular. So let us explore it.

When Machine Learning algorithms tries to predict something it is based on analysing the historical data. For ML models to accurately predict something, it is imperative to have accurate data inputs. It is very easy for any ML models to process numerical as compared to text. Getting the right context of a sentence, paragraph or an page was the most cumbersome process for any data scientist. Gen AI thus soles this problem by using LLM which converts the chunk of text into something called as embeddings (numerical representation of the given text or sentence).

With the advent Gen AI it has become very easy to build any ML models with more accuracy, human understandable and with very little time. As businesses were struggling to get real value out of AI due to months of effort to get the desired result, Gen AI is able to solve the problem in few weeks.

In our next episode we will go deep into some of the topics like Machine Learning types, how Gen AI works, etc.,

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