This repository contains all the curated materials, blog links, books and tutorials to help you cleanly understand the concepts of AI. Instead of going over hundreds of blogs, these will save your time and benefit your intutions greatly.
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- MFCC’s Made Easy
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- An Interactive Guide To The Fourier Transform
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- Music Feature Extraction in Python
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- Speech Recognition — Feature Extraction MFCC & PLP
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- A Beginner's Guide to Eigenvectors, Eigenvalues, PCA, Covariance and Entropy
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- Eigenvalues and eigenvectors in PCA
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- Word2Vec For Word Embeddings -A Beginner’s Guide
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- NLP 101: Word2Vec — Skip-gram and CBOW
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- Comparison of different Word Embeddings on Text Similarity — A use case in NLP
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- Introduction to Word Embedding and Word2Vec
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- Demystifying Language Models: An Overview of LLMs
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- Introduction to LLMs and the generative AI : Part 1 — LLM Architecture, Prompt Engineering and LLM Configuration
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- Transformers in NLP: BERT and Sentence Transformers
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- Transformer-based Sentence Embeddings
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- Two minutes NLP — Sentence Transformers cheat sheet
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- Understanding the Langchain Framework
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- What Is LangChain?
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- LLM Driven Applications with LangChain Abstraction
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- Efficient Information Retrieval with RAG Workflow
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- Retrieval Augmented Generation (RAG)
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- Retrieval-Augmented Generation (RAG): From Theory to LangChain Implementation