Excited to present a workshop on #GenerativeAI and 2 sessions on #Langchain and #Vectorization at this year's #AILive Conference in Orlando. TheTrainingBoss
Live! 360 Technical Conferences

single instruction, multiple data; simd

a relic of 1970's vector processors, vectorization in modern processors still gives us huge performance improvements and is wildly underrated

rust provides us with a nice data type in the std lib to encapsulate this superpower
note that

Good post on auto-vectorization (generating SIMD instructions) in Rust and C++.

Now I'm looking forward to an epub/pdf of Algorithms for Modern Hardware I can get printed. Only the HTML edition is out for now it seems.

blog.sulami.xyz/posts/llvm-is-…

PufferLib 0.7 out now!
- 65% faster CleanRL training with just our vectorization
- 2-3x faster training w/ our async on-policy sampling
- Pokemon trains at 3000x real time on a single desktop

Links soon because algorithm

MapVR
Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
github.com/ZhangGongjie/M…

Day 29 of #100daysoflearningwith14G
Ingressive for Good
@Datacamp
Today's tip on Python
Vectorization can be used to calculate differentials, and it is faster. Don't say I did not tell you; you've been told.

Said I was finally going to take custom typography serious 😤

Here is my exploration for today. From sketch to vectorization

MLX uses composable function transformations for automatic differentiation, vectorization, and compute graph optimizations.

The key idea behind composable function transformations is that every transformation returns a function which can be further transformed.

📌 In the given

🗓️Day 14 of #Deeplearning

▫️ Topic - Gradient Descent & #Vectorization

✅ #GradientDescent is first-order optimization technique used to find local minimum or optimize loss function. It is also known as parameter optimization technique

A Complete 🧵

📓 NLP Day - 3 : Text Vectorization

❔Why Text Vectorization?

▫️Computers don't understand Texts, YEAH I KNOW THEY ARE DUMB, basically they only understand the numbers and the text vectorization is the process of converting text into numerical representations so that computers

🎥 Just wrapped up a small project today: a Movie Recommendation App! With 65k+ movies and 2.5 million+ reviews, it suggests films based on your Taste. Powered by cosine similarity search & vectorization, plus TDMB #MachineLearning #buildinpublic #buildinginpublic 🍿🔍📊

✋🏿10. Mastering Programming with MATLAB

🟢The course builds on the foundation laid by the first course of the Specialization called “Introduction to Programming with MATLAB.”

🟢It covers more advanced programming concepts such as recursion, vectorization, etc.

Au cœur des méandres de la donnée vectorielle avec Noé Achache. Un échange technique sur le pourquoi et le comment des DBs Vectorielles, sans filtre. 📊🔍 #DeveloperLife #Database #Vectorization ifttd.io/episodes/db-ve…

Was working on my Wikimedia Commons portfolio pages and got around to organizing my logo vectorization jobs

Which means I get to redefine what constitutes Europe yoooooooooooo

Day 65 of #100DaysOfAI

Diverted a bit. Today I learnt about Transformer Models, and what encoders and decoders do.

About the project I have more to learn on text vectorization

#100DaysOfCode #MachineLearning

Sometimes, I feel like I will be having a more difficult time vectorizing than I do while sketching. Cos I'll find it hard deciding which one to choose for my vectorization task.

What did you think of my sketches today?
#logodesigner #grapgicdesigner #logodesigns #branddesigns

Exploring some json parsers for my new lib in go

simdjson-go vs gjson vs jsonparser

Incredible how fast simdjson can be without allocating any memory, the only drawback it works only for CPUs that support vectorization

Ignas Bagdonas explains how to boost performance productivity for free by utilizing vectorization in software platforms. Ignas points out that vectorization is often undervalued in the software domain even though it can noticeably increase overall performance.
⠀
This video

🚀 Excited to optimize your Python code? Dive into the world of vectorization using NumPy!

Read: tinyurl.com/yk6zb2ma

💡 Vectorization allows you to perform operations on entire arrays, making your computations lightning-fast! No more tedious iteration over each element.

Day 7 of #100daysofai

Feature scaling is a concise way to make your features or Parameters Normalized.

Vectorization is also discussed

#ai #letsbuid #buildinpublic #100daysofcode #vectorization