Sane's academy of Artificial Inteligence

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Generative AI

Generative A.I. with LLM:

1. Basics of Machine Learning: Supervised, Unsupervised, Re-enforcement
2. Evaluating Supervised Learning Algorithms:

a. Train test Split
b. Evaluation Metrics: Accuracy Score, F1-Score, MSE

3. Basics Approaches of NLP:

a. Bag of Words
b. Word Embedding

4. Bag of Words: Count Vectorizer, TF-IDF Vectorizer
5. Word Embedding:

a. Gensim Library, GloVe
b. Introduction to BERT

6. Introduction to LLM:

b. How do LLMs work?
c. How can we encash the power of LLMs?

7. Hugging Face Repository:

i. Sentiment Classification
ii. One shot classification
iii. Questions and Answering
iv. Text Summarization
v. Named Entity Recognition

8. Creating a User Interface using streamlit or gradio on:

a. Questions Answering
b. Sentiment Classification

9. Containerizing application in Docker App
10. Chaining the prompts with LangChain