LLM Wiki Index

Welcome to your personal Second Brain for technical learning. This wiki is a structured knowledge base for daily progress across multiple domains: Large Language Models, Quantum Computing, Data Structures & Algorithms, and English Language Proficiency.

🚀 Daily Learning Paths

Browse your structured learning paths and daily progress logs.

🤖

Hands-on LLMs

Practical implementation and deep-dives into Large Language Models (Phi-3, Hugging Face pipelines, and tokenizers).

💻

DSA in Python

Problem-solving with algorithms and data structures using Python. Practice templates and LeetCode problems.

⚛️

IBM Quantum Learning

Quantum computing education, superposition, Qiskit circuits, simulators, real QPUs, and Bell states.

🧠

NN: Zero to Hero

Andrej Karpathy's comprehensive series on building neural networks from scratch (micrograd, makemore, GPT).

🗣️

Learn English

Daily English language proficiency practice focusing on neutralizing MTI, grammar structures, and accent training.

📊

English Tenses

Comprehensive tense reference, signal words, formulas, and examples compiled from tenses table PDF.

❓

English Questions

Detailed guide on forming questions, word order, passive voice interrogatives, and question tags.

🎓

TIFR GS Prep

Roadmap and notes for the Tata Institute of Fundamental Research Graduate School entrance exam.

🌍

Save Planet & Wellbeing

Applying mathematics, optimization models, and AI technologies to ecological restoration and sustainability.

📖

Super Book Project

Developing a specialized Bible LLM mobile app co-pilot backed by quantum cryptography.

🔍

KnowledgeFace

Web prototype for AI/ML contribution, featuring notebooks, datasets, models, and benchmarks.

🧠 Core Concepts

Explore detailed theoretical pages linked across your second brain.

Tokenization Breaking text into semantic processing units. Embeddings Semantic vector representations of text. Qubits Fundamental units of quantum information. Quantum Gates Operations for building quantum circuits. Entanglement Linking quantum states across multiple qubits. Binary Search Efficient log-time search in sorted lists. Complexity Analysis Evaluating algorithm run time and memory space. Neural Networks Fundamental deep learning models. Large Language Models Transformer-based language generation. JAX Ecosystem DeepMind libraries and high-performance JIT compiling.

📈 Activity & Logs