Todd Nist’s Post

𝐀 𝐒𝐮𝐫𝐯𝐞𝐲 𝐨𝐟 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 𝐟𝐨𝐫 𝐂𝐨𝐝𝐞: 𝐄𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧, 𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐅𝐮𝐭𝐮𝐫𝐞 𝐓𝐫𝐞𝐧𝐝𝐬 LLMs are good at writing software. LLMs enable any user to leverage natural language to do software engineering. Answers three key questions: 1) What are the LLMs designed for software engineering, and how are they related? 2) Do Code LLMs outperform general LLMs in software engineering tasks? 3) Which LLMs excel in different software engineering tasks? Abs: arxiv.org/abs/2311.10372 #ai #llm #genai #coding #softwareengineering #softwaredevelopment

Ever wondered why every developer should have a good grasp on algorithms? 👀 The main reason is simple: it will make you more effective and efficient as a programmer, because algorithms are designed to manipulate data. Plus, Algorithms are used in every part of computer science. They form the field’s backbone. By understanding algorithms, you can write more efficient code and solve new problems more effectively. In summary, learning algorithms helps you become a better problem solver. This will make you a rockstar coder! 💥

#Perplexity gets major research upgrade - Multi-step reasoning - Advanced math and programming capabilities Pro Search can pinpoint case laws for attorneys, summarize trend analysis for marketers, and debug code for developers https://buff.ly/4buthdZ #ai #llm #research

Mastering Algorithms: Unlock the Power of Problem Solving! 💡 Are you ready to dive deep into the world of algorithms and revolutionize your approach to problemsolving? Here's everything you need to know about algorithms, who can write them, and where they work. 🚀 What are Algorithms? Algorithms are stepbystep procedures or formulas for solving problems. They are the heart and soul of computing, guiding computers to perform tasks efficiently and effectively. From simple calculations to complex data analysis, algorithms power virtually every aspect of modern technology. 🧠 Who Can Write Algorithms? Anyone with a passion for problemsolving and logical thinking can write algorithms! Whether you're a seasoned software engineer, a budding programmer, or a curious enthusiast, learning to write algorithms can elevate your skills and open doors to new opportunities. 💻 What Do You Need to Write Algorithms? All you need is a computer, a text editor, and a curious mind! While a strong understanding of programming languages like Python, Java, or C++ can be helpful, the most important tools are your creativity and determination to tackle challenges headon. 🌐 Where Do Algorithms Work? Algorithms are everywhere! They power the software applications we use daily, from social media platforms to ecommerce websites. They drive innovations in artificial intelligence, data science, and cybersecurity, shaping the future of technology. Whether it's on your smartphone, in the cloud, or on a supercomputer, algorithms are constantly at work, making our lives easier and more efficient. ⚙️ Dependent and Independent: Language, Hardware, Software  Language: Algorithms can be written in various programming languages, each offering unique advantages and syntax.  Hardware: Algorithms interact with hardware components to execute tasks, leveraging the power of CPUs, GPUs, and other devices.  Software: Algorithms are embedded within software applications, from operating systems to specialized tools, to perform specific functions and deliver desired outcomes. *Embark on your algorithmic journey today and unleash your problemsolving potential! Join the algorithmic revolution and shape the future of technology.* #Algorithms #ProblemSolving #TechSkills #Programming #Innovation #FutureTech

🌟 Today I learned about Selection Sort! 🌟 Ever wondered how computers efficiently sort through data? Today, I delved into the world of sorting algorithms and stumbled upon a gem called "Selection Sort." Let me share the essence of what I discovered! Selection Sort is a simple and intuitive sorting algorithm that works by repeatedly finding the minimum (or maximum) element from the unsorted part of the array and putting it at the beginning (or end). The process continues until the whole array is sorted. Why does Selection Sort matter? Although it's not the most efficient sorting algorithm for large datasets (due to its time complexity of O(n^2)), it has its place in educational contexts and small datasets due to its simplicity and ease of understanding. It's a great starting point to grasp the fundamentals of sorting algorithms before delving into more complex ones like Merge Sort or Quick Sort. Understanding Selection Sort not only enhances our knowledge of algorithms but also helps us appreciate the elegance behind sorting mechanisms, which are fundamental in various computer science applications. So, whether you're a seasoned developer or just starting your journey into the world of programming, learning about sorting algorithms like Selection Sort can broaden your understanding and pave the way for mastering more sophisticated techniques. Keep exploring, keep learning! 💡✨ #Algorithm #Sorting #SelectionSort #ComputerScience #Programming #Learning #Tech #Development

Exploring Quick Sort: 1️⃣ Quick Sort Concept: 💭 Quick Sort divides arrays based on pivots, then recursively sorts them. 2️⃣ Program Implementation: 💻 Practical code demo for Quick Sort, enhancing understanding. 3️⃣ Time Complexity Analysis: ⏳ Quick Sort: Avg. O(n log n), Worst O(n^2). Despite worst-case, it's often more efficient in practice. 4️⃣ Real-life Example: 📦 Package Delivery Routing: Optimizes delivery routes by sorting packages efficiently. 📚 Library Book Sorting: Organizes books for easy access on shelves, based on author or publication date. Master Quick Sort for efficient data processing! Join us at Global Datics AI to enhance your coding skills!  #DataStructures #Algorithms #GlobalDaticsAI #DSA #developers #programming #Quicksort #Timecomplexity #Efficiency

I'm thrilled to share my latest article, "Decoding Complexity: A Practical Approach to the Master Method for Recurrence Equations," now published on Medium. In this piece, I delve into the Master Method, a fundamental concept in computer science that is pivotal for anyone grappling with algorithm analysis. Writing this article was an enlightening journey for me, as it not only allowed me to explore the depths of computational theory but also to simplify these complex ideas into more accessible insights. My goal was to demystify the intricacies of the Master Method and provide a clear, practical guide for solving recurrence equations, making this knowledge more approachable for students, professionals, and enthusiasts alike. Medium Article: https://lnkd.in/emsawDmV Profile Link: https://lnkd.in/eUr7_AXc #algorithms #machinelearning #internetofthings #dsa #coding #softwareengineering #programming #innovation #techcommunity #smarttechnology #iotdevelopment

Wondering why you should backtrack algorithms? Well, backtracking algorithms are a fundamental concept in computer science and are used to solve problems where finding a solution involves trying out different possibilities and backtracking when a dead-end is reached. The importance of backtracking algorithms lies in their ability to efficiently solve complex problems that would be impractical to solve using brute force or other methods. One example of a problem that can be solved using a backtracking algorithm is the "N-Queens" problem, where the goal is to place N queens on an N×N chessboard in such a way that no two queens threaten each other. This problem is challenging because of the large number of possible arrangements of queens on the board, which grows exponentially with N. A backtracking algorithm can efficiently explore these possibilities, eliminating branches of the search tree that lead to invalid solutions and backtracking when a dead-end is reached. Overall, backtracking algorithms are important because they provide a systematic way to solve complex problems by exploring all possible solutions in a structured manner. They are a powerful tool in the toolkit of any programmer or computer scientist and are used in a wide range of applications, from puzzle solving to optimization and planning. #algorithms #backtracking #softwareengineering #developers #techies

Understanding Algorithm Categories for Problem Solving 👨💻 As a problem solver, it helps to understand the different types of algorithms that exist to tackle various computational challenges: - Sorting algorithms (e.g. Quicksort) arrange items in a specified order - Searching algorithms (e.g. binary search) find specific items quickly - Graph algorithms (e.g. DFS, BFS) analyze network relationships - Dynamic programming and greedy algorithms optimize complex tradeoffs - Divide and conquer algorithms (e.g. MergeSort) break big problems into smaller pieces - Backtracking algorithms employ trial and error systematically  - Recursive algorithms call themselves to solve sub-problems - Randomized algorithms incorporate randomness - String matching algorithms focus on text operations - Numerical algorithms handle calculations - Machine learning algorithms use algorithms that learn from data By recognizing the algorithm classes suited to different problem domains, you can select the most effective approaches to solve problems efficiently.

➗ An algorithm is a procedure used for solving a problem or performing a computation. 🚦 Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines. 💻 In social media, algorithms are rules, signals and data that govern the platform's operation. 📱 These algorithms determine how content is filtered, ranked, selected and recommended to users. 📑 Daily routines, such as morning routines, bedtime routines, or even exercise routines are another example of algorithms in everyday life. 📜 An algorithm is not computer code; it's written in plain English and may be in the form of a flowchart with shapes and arrows, a numbered list, or pseudocode (a semi-programming language).  💹 Algorithms are used to find the best possible way to solve a problem, based on data storage, sorting and processing, and machine learning. In doing so, they improve the efficiency of a program. 💻 Algorithms are used in all areas of computing. #algorithm #math #socialplatforms #computers #facts #followers #news #information #math #teachers #finance #students #socialmedia #science #learning #algoritmos #future