How to Fine-Tune Vision Models with SGD Kumar et al.: https://
arxiv.org/abs/2211.09359 #ArtificialIntelligence #DeepLearning #MachineLearning
MACHINE LEARNING
-
Fine-Tuning Vision Models with SGD Optimization
By
–
-
Zero-shot style requests less controlled; retry stylized ‘step-by-step’ examples.
By
–
Zero-shotting style requests works somewhat now, but still not as controlled as using demonstrations. Need to retry some of my stylized "Let's think step by step" examples on the new model.
-
GPT-3 explains the Black-Scholes formula in an uwu voice
By
–
New GPT-3 version (text-davinci-003) explains the Black-Scholes formula in an uwu voice:
-
Evolution of Object Detection Methods: From Sliding Windows to YOLO
By
–
Traditionally it was with a sliding window approach using an object recognizer passed over the image at different scales. Now some of the fastest methods like YOLO2 or 3 jointly detect bounding boxes and classify at the same time. (I may be a year or 2 out of date.)
-
Worker Involvement Essential for Successful AI Initiatives
By
–
Needed: More Worker Involvement In #ArtificialIntelligence Initiatives https://
forbes.com/sites/joemcken
drick/2022/11/28/needed-more-worker-involvement-in-artificial-intelligence-initiatives/
… @Forbes @joemckendrick #AI #MachineLearning #Robots #BigData #Analytics #DataScience #100DaysofCode #IoT #serverless #womenwhocode #FutureOfWork #DigitalTransformation #DeepLearning -
Meta AI Stanford Tübingen Beat Neural Scaling Laws Data Pruning
By
–
NeurIPS 2022 | Meta AI, Stanford & Tübingen U Beat Neural Scaling Laws via Data Pruning https://
syncedreview.com/2022/11/28/neu
rips-2022-meta-ai-stanford-tubingen-u-beat-neural-scaling-laws-via-data-pruning/
… -
Artificial Intelligence Benefits and Drawbacks Explored
By
–
Artificial intelligence is both Yin and Yang https://
dataconomy.com/2022/11/benefi
ts-and-drawbacks-of-artificial-intelligence/
… @DataconomyMedia #ArtificialIntelligence #MachineLearning #Robots #BigData #Analytics #AI #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DigitalTransformation #DataScience #DeepLearning #AIEthics -
Amazon Using AI to Replace Human Recruiters
By
–
Could Amazon Be Replacing Recruiters With Artificial Intelligence Software? https://
forbes.com/sites/jackkell
y/2022/11/28/could-amazon-be-replacing-recruiters-with-artificial-intelligence-software/
… @Forbes #AI #DeepLearning #Robots #BigData #Analytics #DataScience #100DaysofCode #IoT #serverless #womenwhocode #Privacy #FutureOfWork #DigitalTransformation #MachineLearning -
Machine Learning Algorithms Optimize Intelligent Search Results in Healthcare
By
–
"Already, multiple machine learning algorithms are running in the background to determine the optimal and safest way to serve the results wanted" — @natarpr, our VP of Healthcare Analytics comments on intelligent search in @AIMagazine_BC https://
issuu.com/ai-magazine/do
cs/ai_-_december_2022/74
… -
AutoML Pros, Cons, and Misconceptions Revealed
By
–
Automated ML can do a lot – but it can also be a solution looking for a problem. When is it useful or not? In @elleng_glover
's in-depth article for @BuiltIn
, Domino’s Kjell Carlsson reveals the pros, cons, and misconceptions about #AutoML: