Generative AI

                                               

Generative AI

🧠 What is Generative AI?

Generative AI refers to AI models that generate new data — like text, images, music, or code — that looks similar to the data they were trained on.

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🛠️ How to Build GenAI from Scratch (Text-based model like ChatGPT)

Step 1: Understand the Basics

• Python – Must-know programming language.

• Linear Algebra, Probability, Calculus – Core math for deep learning.

• Neural Networks – Learn how they work.

Step 2: Learn NLP (Natural Language Processing)

• Tokenization, Lemmatization

• Word Embeddings (Word2Vec, GloVe)

• Transformers (start with Attention Mechanism)

Step 3: Build a Simple Language Model

1. Collect Text Data – e.g., Wikipedia articles, movie scripts.

2. Preprocess – Clean the text and tokenize.

3. Train a Model:

   • Start with RNNs or LSTMs.

   • Move to Transformers for better results.

4. Loss Function – Use cross-entropy for predicting next word.

5. Train & Generate – After training, let your model generate new text.

Step 4: Use Libraries

You don’t always need to start from scratch. Use:

• TensorFlow / PyTorch – For building models

• Hugging Face Transformers – Pretrained models like GPT, BERT

• spaCy / NLTK – Text preprocessing

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🧪 Project Ideas

• A chatbot that writes poetry

• Story generator with your own dataset

• Code completion model for basic Python tasks