Artificial Intelligence is all about training machines to mimic human like behaviour. We feed our data to machine & it performs a specific task.
For ex: To detect if an email is spam or not spam, we first train our models using historic dataset using machine learning algorithms like Logistic regression and then we test on new & unseen data.
Also, for image classification we use a technique called Deep learning. It can analyze the complex patterns. Convolutional Neural Networks (CNNs) are the key technique for image tasks.
Traditional AI systems have one drawback. Traditional AI is usually limited to prediction or classification tasks—it can’t create brand-new outputs beyond what it’s trained on. Here comes the generative AI, Large language models (LLMs) and ChatGPT.
Generative AI learns from the massive amount of datasets and then generate new contents like image, text, code, etc.
Generative AI capabilities:
- generating new ideas
- enhancing productivity as it speeds up debugging, gives suggestions as seen in GitHub copilot
- automating repeated tasks
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