Top Tweets for #MLsystems
If model weights turn into configuration or control values, one bad coordinate can matter more than the average fit. That is the part practitioners should keep. #MLSystems #Control
Agentic AI needs memory to be useful.
This upcoming webinar examines how memory systems—short- and long-term—enable agents to reason, adapt, and act over time in real-world workflows.
🔗 https://t.co/qnWwTJqtDP
#EdgeAI #AgenticAI #AIArchitecture #MLSystems
9/N. What speculative decoding results have you seen in your own deployments? We would love to hear what works (and what doesn't).
Paper: https://t.co/imokQeXDHj
Blog: https://t.co/IRNYLB97dF
Code: https://t.co/jMBqDt87aw
#LLM #MLSystems #SpeculativeDecoding
While building Proovia:Chasing marginal gains (75% → 85% accuracy) in detection models can be more expensive than useful early on.Would you prioritize ensemble APIs + product learning first, then replace with in-house models later?#Proovia #MLSystems #AIStartups
AI progress is now limited by compute, not ideas.
What matters most is efficiency, placement, and how models run in production.
#AICompute #MLSystems #Inference
If you’re working on LLM post-training or reasoning, would love to chat. DMs open. #MLSystems #LLMInference #ReasoningModels (6/6)
Thrilled to share that Prof. @Lin_Ma_ has received a 🏆 @Google ML & Systems Junior Faculty Award! One of just 50 in the U.S.—a big win for AI-driven systems research! 🎉 Congrats Lin!
🔗https://t.co/BftFsCSuWj
#GoogleResearch #MLSystems #AI #AcademicAwards
Just published the second blog in a series of blogs where I'll dive deep into ML Systems. If you're into scaling models or securing them, you’ll want to follow along. Blog 2/N - ML Real-Time Inferencing : https://t.co/IClvBnxYYl
#MLSystems #MachineLearning #AI #Inference #Blogs
📣 Out on Amazon! 📣
📚 Get a solid grip on the key info with this simple guide to building effective and reliable ML systems.
📖 Machine Learning System Design by @ValerijBabuskin & @arseny_info is out on Amazon at https://t.co/l5WXiSiGGw
#MLsystems #ML #ManningBooks

Upholding Data Quality in Machine Learning Systems
Dive more here: https://t.co/YV3VYfx1oB
#DataQuality #MachineLearning #AI #MLSystems #DataIntegrity #TechInnovation #ArtificialIntelligence #QualityAssurance #DataScience #ML #TechExcellence #AIResearch
Double-thrilled now to welcome @zhijianliu_ Zhijian Liu to @HDSIUCSD @UCSanDiego as a new assistant professor. Can this season get even better? #mlsystems https://t.co/9uTUVyaOu2
Last call: tomorrow is our #neo4j + @hopsworks event - really looking forward to bring together the worlds of #graphs with the world #production ready #mlsystems: https://t.co/N5cBJaSj7h
Last week we published our first article about the EU's #AIAct (the #aia). In this week's follow up article we are discussing how #mlsystems like @hopsworks can provide tangible guardrails for these #highrisk #ai systems, and therefore make it easier for organisations to comply.
See https://t.co/PtRjfoRDEE. As always - feedback very welcome.

Indian Edition Releasing Soon !
Machine Learning System Design Interview by Ali Aminian & @alexxubyte @bytebytego
Pre-order now
https://t.co/PatBCz9uss
@AnalyticsVidhya @TCS
@thoughtworks @AccentureJobsIN
#mlinterviews #mlsystems #artificialintelligence #aiml #shroffpublidhers

Building #MachineLearning systems is challenging.
Check out the key components!
#MachineLearning #AI #DataScience #Tech #Technology #DataAnalytics #ArtificialIntelligence #MLSystems #DataDriven

Participating in the Machine Learning and Systems Rising Stars workshop was an amazing opportunity. Interacting with the exceptional cohort and engaging in discussions about research was truly intriguing! Looking forward to future iterations! #MLSystems #MLCommons
And that's a wrap on our first @MLCommons Rising Stars workshop. Thanks to @Google for hosting and to our speakers and panelists for an amazing two days. Learn more about this years 2023 Rising Star cohort https://t.co/PZkSPCHJS8

Building #MachineLearning systems is challenging.
Check out the key components!
#MachineLearning #AI #DataScience #Tech #Technology #DataAnalytics #ArtificialIntelligence #MLSystems #DataDriven

Reliable Machine Learning
Applying SRE Principles to ML in Production
By Cathy Chen @niallm
@KrantiParisa @tmu D Sculley @OReillyMedia
https://t.co/A1BaVlM1iv @SREcon
@kaggle @googlesre
@GDGPune #SRE #MLOps #MachineLearning #reliable #mlsystems #oreillymedia #shroffpublishers

ML System Design: ML Prediction Patterns https://t.co/E2ClpAaNVt via @YouTube
In this video, we will discuss the key prediction patterns and the design and deployment considerations for each prediction type. #mlsystems #machinelearning
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