It's #5GTrailBlazers ! #Italy Conosciamo più da vicino alcuni dei pionieri del #5G in #Italia !
Gli esempi includono #Musica #viaggi #musei e #industrial https://
bit.ly/3SWW9mq #SDGS #VR #EricssonAmbassador #ML #Innovation #AI #IoT #100DaysOfCode @EricssonItalia #AR
MACHINE LEARNING
-
5G Trailblazers: Italy’s Innovation Leaders in Music, Travel, Museums
By
–
-
Full Machine Learning Project: Processing Raw Data Part 2
By
–
Full Machine Learning Project — Processing Raw Data (Part 2) #DataScience
-
Mitsubishi Electric Quantum AI Technology Enables Compact Inference Models
By
–
Mitsubishi Electric's New Quantum Artificial Intelligence Technology Uses Automated Design to Realize Compact Inference Models – Business Wire Read more here: https://
ift.tt/wxc0etM #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #De… -
AI hallucinates similar Spanish word from made-up input
By
–
You asked it for it to repeat your word in Spanish, and then gave it a completely made-up word, so it guessed a similar-looking Spanish word. That’s ordinary hallucination stuff — out-of-distribution inputs do that.
-

Seven Patterns of AI: Shortcutting AI Projects Successfully
By
–
In this @Cognilytica #AIToday AI Glossary Series #podcast episode 'Seven Patterns of AI' hosts @rschmelzer & @kath0134 define the seven patterns of #AI and explain how they can be used to shortcut #aiprojects. Full episode: https://
cognilytica.com/2022/12/02/ai-
today-podcast-ai-glossary-series-seven-patterns-of-ai/?utm_source=dlvr.it&utm_medium=twitter
…
#aiadoption #tech #ML -
Long input instructions followed, truncation between 1024-2048 tokens
By
–
This isn’t true. I have examples in this thread of 1024+ token inputs and instructions at the end of them are followed. Truncation appears to happen somewhere between [1024, 2048] — I suspect it’s 2048 but haven’t confirmed.
-

Model learns to handle phrasing errors in a general sense
By
–
It’s clearly learned to do this in a more general sense, as it should — e.g., this question contains a clear error in phrasing, but no human would respond to it literally as written. The model is trained on human demonstrations, so it tries do what humans do.
-

Random Forest vs Decision Tree: Key Differences Explained
By
–
Random Forest vs Decision Tree: Key Differences: Check out this reasoned comparison of 2 critical machine learning algorithms to help you better make an informed decision. https://
kdnuggets.com/2022/02/random
-forest-decision-tree-key-differences.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=random-forest-vs-decision-tree-key-differences
… -
Top AI Chip Makers to Watch in 2023
By
–
Top 10 Artificial Intelligence Chip Makers to Lookout for in 2023 https://
analyticsinsight.net/top-10-artific
ial-intelligence-chip-makers-to-lookout-for-in-2023/
… #IBM #Intel #Google #Chip #ArtificialIntelligence #AI #MachineLearning #Robotics #innovation #IoT #deeplearning #Coding #Tech #programming #Digital -

Types of Machine Learning: Comprehensive Infographic Guide
By
–
#Infographic: Types of Machine Learning
Via @ingliguori #DataScience #programming #DataScientists #Analytics #BigData #AI #Python #DataScience #ML #NLP #javascript #TensorFlow #Coding #Serverless #100DaysOfCode #Dataviz #MachineLearning #Devops #SQL #RStats #CodeNewbie #Linux