Cindy Ann Pedersen’s Post

Typical recoding techniques include:

Typical recoding techniques include:

System prompts might seem simple at first glance since they're just strings (or sequences of strings that are concatenated), but crafting the right system prompt is key to getting the model to behave as you want.

"Day 39 of #100DaysOfCoding: ✅solved validating words and counting 1-bits. Also, revised recursion, sorting, and complexity analysis. 💻 #100daysofcoding #Recursion #Sorting #AlgorithmAnalysis"#bitmanipulation

What algorithm would you use to solve it?

I had the opportunity to complete a task assigned by my mentor. I received a challenge from Febi Mudiyanto to 'pwn' a machine on Hack The Box. My goal was to obtain both the user flag and the root flag from a machine called 'Usage'. After successfully completing the machine, I wrote a write-up to document the steps and techniques used during the process. Check out my write-up on Medium and let me know what you think! #HackTheBox #WriteUp #Medium #InfoSec write-up link: https://lnkd.in/gZ_EKP3M

Difftastic is a CLI diff tool that compares files based on their syntax, not line-by-line. Difftastic produces accurate diffs that are easier for humans to read. Thanks to Wilfred Hughes for this ;)

Explore other techniques, strategies in fine-tuning LLMs, these can also help enhance the performance and capabilities that is Text Chunking. Learn about what Text chunking is and How to use it Colab - https://lnkd.in/gDne_6fB Blog - https://lnkd.in/gT9dpKbH

Logic is correct?

🧠 Understanding Memoization: Boosting the Efficiency of Recursive Functions I was playing around with a recursive function tonight, and in the process of optimizing it, I did some digging into memoization to deepen my understanding. For me, part of learning something is writing about it so that it really sticks in my brain. Memoization is a game-changer when it comes to optimizing recursive algorithms. Instead of recalculating the same values multiple times, memoization caches previous results and reuses them, making algorithms like Fibonacci much faster and more efficient. In my latest article, I dive deep into how memoization works, with a practical example using the Fibonacci sequence. You'll learn how this simple caching technique reduces the time complexity from O(2ⁿ) to O(n), dramatically improving performance! Explore how memoization can optimize your code! #Memoization #Optimization #Coding #Algorithms #Efficiency #DynamicProgramming