Generative AI for Complete Beginners

About this course

This course is a practical guide to learning Generative AI concepts:- Large Language Models- Tokenization, Word Vectors and Embeddings- Fine tuning LLMs- Langchain- Prompt Enginnering concepts- Using OpenAI API

The field of artificial intelligence has seen incredible advances in recent years, with one area gaining significant traction - generative AI. This cutting-edge technology is poised to revolutionize how we create and interact with all kinds of digital content.

So, What exactly is generative AI? At its core, it refers to AI models that can generate new data, rather than just analyzing existing data. This could include generating text, images, audio, video, computer code, and more - often starting from just a basic prompt or input from a user. What makes this technology so powerful is how user-friendly it is becoming. You can simply describe a scene or concept, and the AI model generates high-quality digital content in response - almost like magic!1. Artificial Intelligence:

This prime spot is reserved for just plain AI. It's a broad term, the overarching goal: machines that mimic human intelligence. That includes everything from playing chess to diagnosing diseases, from composing music to writing this blog.2. Machine Learning:

Machine Learning (ML), a subset of AI. It's where the magic of learning from data happens. ML algorithms don't need explicit programming – they gobble up data, identify patterns, and improve their performance over time.3. Deeper and Deeper: When ML Gets Fancy - Deep Learning

This is ML on steroids, using complex artificial neural networks loosely inspired by the human brain. Deep learning is the secret sauce behind many of AI's recent breakthroughs, allowing for crazy-powerful stuff like image and speech recognition.

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