Abdul_ahad

 Jazzcash = 29400 Fiverr sa aae ga = 40800 Total = 29400+40800 = 70200 Noman = 50000 Expendetures = 5000 Noman+expenditures= 55000 Remaining = 70200 - 55000 =   15200

What draws us to the darkest corners of history? Is it the thrill of solving puzzles, the fascination with human behavior, or the enduring hope for justice? In today’s video, we embark on a journey into the world’s most famous crime mysteries cases that have baffled detectives, captivated the public, and left questions that may never be answered. From cryptic killers to daring heists, these stories are as chilling as they are intriguing.   10. The Allure of Crime Mysteries Crime mysteries have captivated human imagination for centuries. They tap into our primal curiosity, challenging us to piece together clues, uncover motives, and solve puzzles that defy easy explanation. Whether it's a grisly murder, a baffling disappearance, or a heist pulled off with surgical precision, crime mysteries reveal the darker sides of humanity while often highlighting the brilliance of those who strive to bring justice.   In this series, we delve into the most famous and perplexing cri...

Qu’est-ce qui nous attire dans les recoins les plus sombres de l’histoire ? Est-ce le plaisir de résoudre des énigmes, la fascination pour le comportement humain ou l’espoir durable de justice ? Dans la vidéo d’aujourd’hui, nous embarquons pour un voyage dans les affaires criminelles les plus célèbres au monde qui ont dérouté les détectives, captivé le public et laissé des questions auxquelles il est possible que l’on ne réponde jamais. Des tueurs énigmatiques aux braquages ​​​​audacieux, ces histoires sont aussi effrayantes qu’intrigantes.      10. L'attrait des mystères du crime  Les mystères criminels captivent l’imagination humaine depuis des siècles. Ils exploitent notre curiosité primordiale, nous mettant au défi de rassembler des indices, de découvrir des motivations et de résoudre des énigmes qui défient toute explication simple. Qu'il s'agisse d'un meurtre macabre, d'une disparition déroutante ou d'un braquage réussi avec une précision chirurgicale, les...

 Here’s a more detailed version of the notes while keeping them clear and organized: What is a REST API? A REST API (Representational State Transfer API) is a system that allows software to interact with resources like data, content, or services using web URLs. It is widely used across the web because of its simplicity and flexibility. REST APIs enable communication between clients (like web browsers or apps) and servers, making it easier to build scalable and efficient systems. History of REST APIs Before REST: Developers relied on SOAP (Simple Object Access Protocol), which required complex XML documents and was difficult to build and debug. 2000: Roy Fielding and his team introduced REST, simplifying server-to-server communication by creating universal standards. 2002: eBay launched its REST API, followed by Amazon. These APIs allowed third-party websites to integrate their services. 2004-2006: Flickr introduced a REST API for embedding images, while Facebook and T...

What is an LLM? An LLM (Large Language Model) is a smart AI that can understand and write text like a human. It learns from lots of data, like books and websites, to help with all kinds of tasks. What Makes LLMs Special? Very Big: They are trained on huge amounts of data, so they know a lot. Versatile: They can handle many topics because they learn from different sources. Understands Context: They can give better answers by understanding the meaning of sentences. Multilingual: They can work in many languages, not just one. How Do LLMs Work? Training: They learn patterns in text by studying lots of examples. Answering Questions: They use what they’ve learned to respond to your input. Smart Design: They use a special system called "transformers" to connect ideas and words. What Can LLMs Do? Write Text: They help write stories, essays, or even code. Chatbots: They power virtual assistants like ChatGPT. Translate: They translate languages or short...

1. Code Generation and Assistance LLMs can create code automatically based on simple instructions. They can help by completing code, fixing mistakes, or improving its structure. For example, they can write repetitive sections or common algorithms, saving developers a lot of time. 2. Debugging and Error Detection LLMs analyze code to find mistakes, security issues, or inefficiencies. They understand how the code works and help developers fix problems quickly, ensuring higher quality in the final software. 3. Automated Documentation LLMs can write documentation like guides, comments, or README files directly from the code or simple descriptions. This reduces the time developers spend on documentation and ensures it’s clear and consistent. 4. Testing and Quality Assurance LLMs help create tests to check if the code works correctly. They simulate user inputs, find edge cases, and suggest scenarios to make the software more reliable. This improves testing coverage and ensures few...

 Here’s an expanded explanation of the headings in simple terms: 1. Code Generation LLMs can create working pieces of code just from plain instructions, like describing what you need in everyday language. This can help developers avoid writing repetitive or time-consuming code and focus on more complex tasks. 2. Code Completion and Refactoring LLMs suggest how to complete partial code and improve its structure, making it cleaner and easier to understand. This reduces the chances of errors and ensures the code follows best practices. 3. Debugging and Error Detection LLMs help identify problems in the code, whether they are small typos, logical mistakes, or performance issues. They make the process of finding and fixing bugs faster and more efficient. 4. Automated Testing LLMs can create various types of tests to ensure the software works correctly in different situations. They simulate real-world use cases to catch hidden issues and improve the overall reliability of the...

Here’s a simpler version: --- ### **1. What Are Texture Features?** - **What it is:** Texture features are patterns or designs in images. - **Why it matters:** They help in tasks like recognizing objects, improving image quality, and teaching machines to understand images. --- ### **2. Grouping Textures** - **Benefits:** Grouping textures makes it easier to analyze and use in art, design, and factories. - **Problems:** Grouping can oversimplify and make unique textures less noticeable or limit creativity. --- ### **3. Ways to Study Textures** - **Statistical Methods:** Use numbers to study patterns in images (like GLCM). - **Structural Methods:** Focus on how parts of textures are arranged. - **Spectral Methods:** Study textures using tools like Fourier transforms. - **Mixed Methods:** Combine all these for better results. --- ### **4. What Is GLCM?** - **What it does:** GLCM looks at how often certain patterns show up in images. - **Where it’s used:** In medical scans, remote sensing,...