I'm worried you can't scale down your Kubernetes to this level
COMPUTING
-
AI-powered add-on for Excel and Google Sheets revolutionizes workflow
By
–
1. Numerous AI
— God of Prompt (@godofprompt) 6 mai 2024
If you use Excel and Google Sheets, this add-on will revolutionize your workflow.
It's an AI-powered tool for spreadsheets that gets things done in seconds.
Try it here: https://t.co/uGbnMp1l6E pic.twitter.com/s5Sl7maWJ51. Numerous AI If you use Excel and Google Sheets, this add-on will revolutionize your workflow. It's an AI-powered tool for spreadsheets that gets things done in seconds. Try it here: http://
numerous.ai -
Running LLMs on MacBook M1 Pro with LM Studio
By
–
Running on Macbook M1 pro (16GB RAM) using the @LMStudioAI.
— Shubham Saboo (@Saboo_Shubham_) 6 mai 2024
If you find this useful, RT to share it with your friends.
Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.https://t.co/TAUJecTtFGRunning on Macbook M1 pro (16GB RAM) using the @LMStudioAI
. If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials. -
DistBelief Legacy: Model and Data Parallelism in Modern Neural Networks
By
–
I'm still a bit surprised that you think the system (DistBelief) that first combined large scale model- and data- parallelism with backprop-based training of very large neural nets is a "dead end", given that nearly every large-scale model that is trained today combines these
-
DistBelief convolutions development shared weights 2012
By
–
We supported shared weights from very early in DistBelief development, and we started adding support for various kinds of convolutions in March of 2012 (because convolutions are a very sensible idea for some things!), and you visited in July, I believe.
-
Matrix Classes and Neural Networks: From BPTT to Modern Frameworks
By
–
In the 90s I had to first implement matrix classes before I could even start coding neural nets – it was awful! I suffered so much with BPTT! Matlab did make things more efficient and was great until Python arrived. Leon Bottou and Yann Lecun pioneered SGD and torch style
-
Python and C++ in Computer Science Education Since 2005
By
–
There is a record. We started using python for teaching in 2008 (
https://
cs.ubc.ca/~nando/340-200
8/index.html
…) but the team was on if from around 2005. Of course, some people still preferred matlab (eg @sirbayes who still loves it ). Our MoE work (PAQ8) around 2008 was all on C++ because of -
18 Essential Data Science Tools for Analytics Professionals
By
–
18 data science tools to consider using in 2024. https://
techtarget.com/searchbusiness
analytics/feature/15-data-science-tools-to-consider-using
… via @techtargetnews #DataScience #analytics #datasets #code #Javascript #Data #DataScientists #SQL #BigData #Python #Tech #IoT #ML #NLP #TensorFlow #Coding #codenewbies #100DaysOfCode -
DistBelief Pioneer Reflects on Distributed Machine Learning Legacy
By
–
You were a real pioneer @unJADded ! Looking back, honestly I feel a bit bad at how hard DistBelief was to use, and the complexity of the C++ interface we built…. Nonetheless, I'm glad it turned out to be a useful product of its time!
-
DistBelief: The Distributed Neural Network System Behind Modern AI
By
–
The name actually was "DistBelief" for a few reasons. The first was a play on "disbelief", because many people didn't seem to believe the approach of large-scale distributed neural networks would work. The second was because Deep Belief Networks was one of many algorithms we