David Ware’s Post

LLMs easily fit random labels, while generalizing. This means by training to near zero loss on your data, we can memorize important information while - at the same time - answer unrelated questions correctly. We introduce a first generation architecture that uses a massive MoME to begin to mitigate this cost. You can read our paper on memory tuning here.

Get ready to pre - Save the revised version!

Hey connections... Day 19: Seeking out the common elements among three sorted arrays! 🎯 Today, we're diving into the world of array intersection, identifying the elements that appear in all three arrays. Excited to explore efficient algorithms and uncover these shared treasures under Dr. Deepa Nehra guidance! 💻🔍 Time Complexity : O(n1+n2+n3) Space Complexity : O(1) #ArrayIntersection #ProblemSolving #codingchallenge #dsa #begginercoding #linkedincommunity #AlgorithmicExploration #CodingJourney #TechSkills 🚀🔢

Above flowchart gives you which type of graph should you use when you have your dataset: "Dream big, Start small, Act Now"

I updated the h3-Arrow integration in h3ronpy, a fast, vectorized library for the h3 geospatial grid based in Rust. Check out the release notes: https://lnkd.in/eEn_buWc

h3ronpy has been an enormous time-saver in building out the functionality of matching geometries with h3 hexagons on a recent project. If you use h3 in Python, consider using this binding instead!

It happens that you have so many tabs open on Chrome to the extent that you can't easily differentiate between some of them, you can search for the needed tab by title by typing @tabs + (space or tab) right in the address bar, write something and select the tab you wanted from a list.

I am starting a video series focusing on basic concepts we swim in every day with a thin layer of understanding to know the definition but not enough to help us push forward to understand what we are looking at and that limits our ability as an industry to talk about - this is video 1 about the CACHE - https://lnkd.in/g6M3Wpqc

I like to share my ARTIFICIAL INTELLIGENT new uploaded document with you. 😊 You can use the link given below to go through my file 👇

v0.9 feature highlights: text on path, https://lnkd.in/dfjYP7b9