rsrini7
/ QuantumEchoes
Created
October 27, 2025 05:04
Google’s Quantum Computing Breakthrough (Willow Chip & Quantum Echoes Algorithm)
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| Google’s Quantum Computing Breakthrough (Willow Chip & Quantum Echoes Algorithm): | |
| Historic achievement: Google’s Willow chip delivers the first verifiable quantum advantage—solving real, testable problems 13,000× faster than the world’s best supercomputers. | |
| Quantum Echoes algorithm: This algorithm lets scientists run quantum operations forward and backward in time, observing how information spreads or scrambles when a tiny disturbance is introduced (like dropping a pebble in a pond and watching ripples). | |
| Why qubits are special: Qubits (quantum bits) can be both "0" and "1" at the same time (superposition), and can be linked so that changing one changes another instantly (entanglement). | |
| Fragility of qubits: Qubits are very fragile—they get messed up by heat, vibration, or noise, so Willow chip runs at near absolute zero temperatures to keep them stable. |
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| Linear Algebra (Matrices): Learn about matrix properties, multiplying matrices, LU decomposition, and determinants. This is needed for data analysis, processing, and techniques like PCA (Principal Component Analysis) [08:54]. | |
| Probability and Statistics: Learn about random variables, probability distributions, expectation value, variance, covariance, correlation, and Bayes' Rule. This is essential for understanding your data and model results. | |
| Numerical Computation: Learn about Gradient Descent, which is used to find a local minimum. The speaker suggests writing code for gradient descent. | |
| Calculus Basics: Learn the Chain Rule, which is at the heart of backpropagation. | |
| Theory of Machine Learning: Learn key terminologies and concepts like regression, train/test/validation sets, labels/targets, weights, generalization error, regularization, hyperparameter tuning (using cross-validation), and bias-variance tradeoff. | |
| https://www.deeplearningbook.org/exercises.html |
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| Bits vs Qubits (with analogy): | |
| A classical bit is like a coin lying flat—only "heads" (0) or "tails" (1). | |
| A qubit is like a spinning coin in the air—while it spins, it can be both heads and tails at the same time! (superposition). | |
| Superposition and Probability: | |
| A qubit “in the air” can be 70% likely to land heads and 30% likely to land tails. It holds both until you catch (measure) the coin, then it picks one. |
rsrini7
/ searching or downloading research papers
Created
October 17, 2025 03:08
searching or downloading research papers
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| Here is a supporting content for searching or downloading research papers (with their specific uses): | |
| ### Websites and Tools | |
| - **Consensus**: https://get.consensus.app/neha | |
| *AI-powered search and summarization tool; highlights open-access status and offers free Pro trial for research paper search.* | |
| - **Arxiv**: https://arxiv.org/ | |
| *Preprint repository for free academic papers in physics, computer science, math, and more.* | |
| - **Biorxiv**: https://www.biorxiv.org/ |
rsrini7
/ gist:e51c6d1b25ea208a7276919e109bcf4f
Created
October 6, 2025 13:08
Fine Tuning LLM - GTX 1060 - WSL2-Ubuntu-2022
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| 1. Ubuntu 2020 -> default python 3.8 -> require pyenv to handle higher versions of python | |
| 2. Ubuntu 2024 -> default python 3.12 -> PyTorch does not currently provide prebuilt wheels for Python 3.12 (cp312) via the official website or PyPI. | |
| 3. Installed Ubunt 2022 -> default python 3.10 | |
| wsl --install -d Ubuntu-22.04 | |
| wsl --setdefault Ubuntu-22.04 |
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| You are an expert technical writer and an automated documentation maintenance system. Your primary goal is to ensure the project has a complete, accurate, and up-to-date set of documentation in a `/docs` folder. | |
| You will operate in two phases: | |
| **Phase 1: Situational Analysis & Planning** | |
| **Phase 2: Markdown Generation** | |
| ### PHASE 1: SITUATIONAL ANALYSIS & PLANNING | |
| First, perform a detailed analysis of the current state of the project. |
rsrini7
/ Define Your AI Learning Goal (Hard Mode)
Last active
July 22, 2025 14:53
Multi Step Prompts
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| * **Role and Purpose**: The AI is designated as a "prompt coach" with the mission to create a prompt blueprint that transforms the assistant into a personal AI tutor. This tutor will methodically quiz the user to diagnose their current AI level and deliver progressively harder lessons to stretch their understanding. | |
| * **Framework**: The prompt follows a four-section blueprint: | |
| * **Purpose** (Goal, Meta-switches, Mode & Effort) | |
| * **Instructions** (Behavior & Rules) | |
| * **Reference** (Context, Data, Materials) | |
| * **Output** (Expected Format & Length) | |
| * **Workflow Rules**: | |
| * **Section-by-section**: No skipping ahead; the AI handles one section at a time. | |
| * **Full question set**: For the current section, the AI shows every question and provides a concrete example answer for each. | |
| * **Gatekeeping**: The AI waits until all questions are answered. If an answer is unclear, it asks a follow-up question. |
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| graph TD | |
| subgraph "Admin Interface" | |
| AdminUI[Admin React UI] | |
| end | |
| subgraph "Broadcast Microservice (Spring Boot WebFlux on K8s)" | |
| AdminAPI["/api/admin/broadcast (REST)"] | |
| SSEEndpoint["/api/notifications/sse (SSE)"] | |
| BroadcastService[Broadcast Service Logic] | |
| KafkaProducer[Kafka Producer] |
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| No BS Mathematics for AI | |
| Bootstrapping Blueprint | |
| Copy & Paste Framework | |
| Power Paper Playbook | |
| Portfolio Precision | |
| PyTorch Protocol | |
| Elite Engineer Essentials | |
| Cutting-Edge Capsule | |
| Six-Figure Secrets | |
| Salary Seduction |
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| #Requires -Version 5.1 | |
| <# | |
| .SYNOPSIS | |
| Converts a directory of Markdown files into a styled HTML documentation site with a navigation menu. | |
| .DESCRIPTION | |
| This script automates the process of generating a simple, clean HTML documentation website from a collection of Markdown (.md) files. | |
| It uses Pandoc to perform the conversion and supports Mermaid.js for diagrams. | |
| Features: |
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