Twiiitrr4rrrr

...

[Out of Context Human Race @NoContextHumans]

https://t.co/grUEZmZ7xb

[Andrew Ng @AndrewYNg]

Argh, my son just figured out how to steal chocolate from the pantry, and made a brown, gooey mess.

Worried about how hard it is to align AI? Right now I feel I have better tools to align AI with human values than align humans with human values, at least in the case of my 2 year old. Parenting would be easier if we could run RLHF on our kids!

[Scott Hanselman 🌮 @shanselman]

Oh just coding

[AK @_akhaliq]

ConvNets Match Vision Transformers at Scale

paper page: https://t.co/0ks69LNcDw

Many researchers believe that ConvNets perform well on small or moderately sized datasets, but are not competitive with Vision Transformers when given access to datasets on the web-scale. We challenge this belief by evaluating a performant ConvNet architecture pre-trained on JFT-4B, a large labelled dataset of images often used for training foundation models. We consider pre-training compute budgets between 0.4k and 110k TPU-v4 core compute hours, and train a series of networks of increasing depth and width from the NFNet model family. We observe a log-log scaling law between held out loss and compute budget. After fine-tuning on ImageNet, NFNets match the reported performance of Vision Transformers with comparable compute budgets. Our strongest fine-tuned model achieves a Top-1 accuracy of 90.4%.

[Data Science Dojo @DataScienceDojo]

⚡ Linear regression vs logistic regression: https://t.co/WqwPum8c3I

#regression #datascience #statistics

[Subham Sharma @subhamengine]

The resume that got me referred to top MNC's and landed up a high paying job.

What things you should keep in mind while making a resume?

Here's a thread👇

[Every Movie Plug @everymovieplug]

LION HEART 🔥📽
https://t.co/ZbP7kyskgy

[Miss Excel @themissexcel]

Be a shortcut superstar ⭐

[Kirk Borne @KirkDBorne]

Designing #MachineLearning Systems — An Iterative Process for Production-Ready Applications: https://t.co/5PefeYQrHf by @chipro
—————
#EnterpriseAI #DataScience #DataEngineering #AI #ML #DeepLearning #DataScientists #BigData

[Security Trybe @SecurityTrybe]

Computer Ports Identification

[Indian Tech & Infra @IndianTechGuide]

🚨 Nitin Gadkari to launch world's first electric flex-fuel vehicle which runs on 100% ethanol-fueled variant of Toyota's Innova today.

[Twiiitrr4rrrr @iamsubhamkar]

https://t.co/qKIIHdd0se

[Aishwarya Nevrekar @nevrekaraishwa2]

https://t.co/AIEnD2Bw1a

[Kirk Borne @KirkDBorne]

Download 698-page PDF >> Everything You Always Wanted To Know About Mathematics*

(*But didn’t even know to ask)

A Guided Journey Into the World of Abstract Mathematics and the Writing of Proofs

https://t.co/JLsDOmqmQY

[Python Coding @clcoding]

Python Program to generate Password

[Aishwarya Nevrekar @nevrekaraishwa2]

Stanford University has just opened full access to CS224U.

One of their immensely popular graduate-level Natural Language Understanding course taught by Professor Christopher Potts.

Checkout link below 👇

[Python Coding @clcoding]

Voice recorder using Python

[Nilisha Mantri @nilishamantri_]

Why are men so unexcited about their birthdays ? 😭

[InterviewReady @InterviewReady3]

Thread alert! Let's talk about the design of UPI payments system. 🧵

[Andrew Ng @AndrewYNg]

We just released "Large Language Models with Semantic Search”, built with @cohere, and taught by @JayAlammar and @SerranoAcademy. Search is a key part of many applications. Say, you need to retrieve documents or products in response to a user query; how can LLMs help? You’ll learn about (i) Embeddings, to retrieve a collection of documents loosely related to a query, and (ii) LLM assisted re-ranking, to rank them precisely according to relevance. You’ll also go through code showing how to tie all this together to build a complete search system for retrieving relevant Wikipedia articles. Please check it out!
https://t.co/H4O0xKBhOO