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Showing posts from March, 2025

OWASP Top 10 / Open Web Application Security Project Top 10

 The OWASP (Open Web Application Security Project) Top 10 is a globally recognized standard for identifying and mitigating security threats in web applications. Organizations are providing training with these modules: Understanding OWASP and Its Importance Overview of OWASP and its role in web security. Importance of the OWASP Top 10 list for secure coding. Detailed Analysis of OWASP Top 10 Vulnerabilities Explanation, impact, and mitigation strategies for each vulnerability: Broken Access Control – Unauthorized access to sensitive data or functions. Cryptographic Failures – Improper data encryption leading to leaks. Injection Attacks (e.g., SQL Injection, XSS, Command Injection) – Malicious input manipulation. Insecure Design – Flaws in security architecture and design. Security Misconfiguration – Improper configuration of security settings. Vulnerable and Outdated Components – Using outdated or unpatched software. Identification and Authentication Failures...

How Large Language Models Work

 # How Large Language Models Work: A Simplified Explanation Large Language Models (LLMs) represent one of the most significant technological advancements in artificial intelligence. These models have revolutionized the way machines understand and generate human language, enabling applications ranging from conversational AI to content creation. Using the information presented in the diagram, let's explore how these systems function and what makes them so powerful. --- ## **The Foundation: The ZIP File of the Internet** At their core, LLMs can be understood as a **"ZIP file of the internet"**—a compressed representation of vast amounts of text data. This analogy highlights how LLMs store and process information efficiently. The key characteristics of this foundation include: - **Parameters store world knowledge**: LLMs consist of billions (or even trillions) of parameters—mathematical values that encode information learned from training data. These parameters act as the mod...

User Story Creation Example: Login Page with Password Validation. INVEST model.

### User Story Creation Example: Login Page with Password Validation #### User Story Title: Secure Login with Password Validation --- #### User Story (Using INVEST Model): As a registered user,   I want to log in to my account using a secure password,   so that my account remains protected from unauthorized access. --- #### Acceptance Criteria: 1. Password Requirements:    - The password must be exactly 8 characters long.    - It must include at least:      - One uppercase letter (A-Z).      - One lowercase letter (a-z).      - One numeric character (0-9).      - One special character (e.g., !, @, #, $, etc.).    - The password field should mask the input (show as asterisks or dots). 2. Error Messages:    - If the password is less than 8 characters:        "Password must be exactly 8 characters long."    - If the password does not con...

The Power of Default No: Reclaiming Control of Your Time

In our hyperconnected world, requests for your time come from every direction. The difference between those who accomplish their goals and those who don't often comes down to a simple two-letter word: "no." When you default to "yes," you essentially hand the controls of your life to others. Their priorities become yours. Their emergencies dictate your schedule. Their goals overshadow yours. This reactive approach leaves little room for your own ambitions. Defaulting to "no," however, puts you firmly in the driver's seat. It doesn't mean becoming unhelpful or isolated—it means being intentional. Every "yes" becomes a conscious decision rather than an automatic response. Consider implementing a decision framework like the one suggested by Sahil Bloom: Does the opportunity align with your professional priorities? Is it genuinely exciting? Even then, would you pursue it if it took twice as long and delivered half the reward? This filterin...

Use cases for LLMs available on MS Azure

Use cases for each of the models across different industries: GPT Series (GPT-2, GPT-3, GPT-4) - OpenAI Healthcare : Assisting in clinical documentation by generating medical notes from doctor-patient conversations, improving efficiency in hospitals. Finance : Summarizing earnings calls and financial reports for analysts, reducing research time. E-commerce : Enhancing customer service chatbots by providing accurate and context-aware responses. Education : Creating personalized tutoring assistants that can answer student queries and generate study materials. Marketing : Generating high-quality, human-like ad copies, product descriptions, and blog content for digital marketing. BERT and Its Variants - Google Healthcare : Extracting key insights from medical research papers and aiding in clinical decision support. Finance : Powering sentiment analysis on financial news and social media to predict stock market trends. Legal : Improving legal document search by understanding q...

Approach to evaluating LLMs - cost-benefit analysis

 When conducting a cost-benefit analysis (CBA) for using one Large Language Model (LLM) versus another, you need to consider a range of factors that go beyond just the raw cost of API calls. Here's a breakdown of the key areas to evaluate: 1. Cost Factors: API Pricing: This is the most obvious cost. LLMs typically charge based on token usage (input and output). Compare the pricing models of different providers.   Consider tiered pricing, discounts for volume, and any free tiers or trials. Eg for OPEN AI hosted on aws:  Azure OpenAI Service - Pricing | Microsoft Azure Infrastructure Costs: If you're self-hosting an LLM (which is less common but possible), factor in hardware, electricity, and maintenance costs.   Cloud-based LLMs may incur additional costs for data storage, network traffic, and other services.   Development and Integration Costs: The ease of integration into your existing systems can significantly impact costs.   Consider...

RICE scoring model - a prioritization framework in product management

  The RICE scoring model is a prioritization framework used primarily in product management. It's designed to help teams make informed decisions about which  projects ,  features , or  initiatives   to pursue. Understanding RICE: R - Reach: This measures how many people will be affected by the initiative within a specific timeframe. I - Impact: This assesses the degree of effect the initiative will have on those people. C - Confidence: This represents the level of certainty you have in your reach and impact estimates.    E - Effort: This quantifies the resources (time, personnel, etc.) required to implement the initiative.    Example for 'Reach'  A Mobile App Notification A mobile app company wants to implement a push notification to remind users about an upcoming sale. Their "Reach" calculation could be: "We have 500,000 active app users, and we expect 80% of them to receive the notification." This means the "Reach" would be 400,0...