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If the Hessian of a function at a point is positive definite, the function at that point is:
#Math #ML #Optimisation
Concave 0.0%
Saddle 0.0%
Local Minima 0.0%
Undefined 0.0%
0 votes · 22 hours left
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4/ Drop-in integration:
pip install turboquant-moe
Three lines of code. Same HuggingFace API. 8x less GPU RAM.
5/ MIT license. Full source.
github.com/RemizovDenis/t…
If you run MoE models in production — this matters.
— SecuriLayer
@_akhaliq
#ML #turboquant #LLM #Kvcache
GitHub - RemizovDenis/turboquant: TurboQuant: KV-cache compression for faster and cheaper LLM...
TurboQuant: KV-cache compression for faster and cheaper LLM inference. - RemizovDenis/turboquant
From github.com 2
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We built TurboQuant-MoE in 12 hours. The numbers surprised us too.
🧵 Thread:
1/ The problem: running Mixtral-8x7B requires ~90GB GPU RAM. Most teams can't afford that. We asked: what if compression didn't mean quality loss?
#TurboQuant #ML #github
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New from The Vasty Deep: Cybersecurity in the Era of Radiology AI radiologyai.substack.com/p/cybersecurit… #blog #cybersecurity #ML
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The Perceptron, invented by Rosenblatt in 1958, is the foundational binary classifier in neural networks. It learns linear decision boundaries via error-driven weight updates, laying the groundwork for deep learning. @PerceptronNTWK #AI #ML
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@PerceptronNTWK The Perceptron, invented by Rosenblatt in 1958, is the foundational binary classifier in neural networks. It learns linear decision boundaries via error-driven weight updates, laying the groundwork for deep learning. @PerceptronNTWK #AI #ML
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The Perceptron sparked modern AI—introducing learning through weighted inputs and iterative updates. Its simplicity laid the foundation for neural networks and deep learning. Every intelligent system today traces back to this breakthrough. @PerceptronNTWK #AI #ML
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Unlock the power of Amazon SageMaker Unified Studio! 🚀 Integrate S3 buckets with SageMaker Catalog for seamless data access and ML model fine-tuning. 🧠🔢 #AWS #ML #DataAnalyticsaws.amazon.com/blogs/machine-…pxz
Accelerating LLM fine-tuning with unstructured data using SageMaker Unified Studio and S3 | Amazon...
Last year, AWS announced an integration between Amazon SageMaker Unified Studio and Amazon S3 general purpose buckets. This integration makes it straightforward for teams to use unstructured data...
From aws.amazon.com 9
@PerceptronNTWK From Rosenblatt’s Perceptron to today’s LLMs — it all started with a single neuron model.
Weighted sum → threshold → binary output. Simple, elegant, revolutionary.
Shoutout to @PerceptronNTWK for keeping the legacy alive.
#DeepLearning #ML #AIHistory
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SlotVTG: Object-Centric Adapter for Generalizable Video Temporal Grou..
arxiv.org/abs/2603.25733
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Newsletter morrislee1234.wixsite.com/website/contact
More story linkedin.com/in/morris-lee-…
LinkedIn morris.short.gy/linkedin
#AINewsClips #AI #ML #ArtificialIntelligence #MachineLearning #ComputerVision
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The perceptron: where machine learning began.
One simple model → the foundation of modern AI.
@PerceptronNTWK #AI #ML
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Built a soil classifier for African savannas with 60% less error using imbalanced data tricks. Turns out preprocessing Sentinel bands > throwing GPUs at the problem. The real hack? Strategic synthetic data generation. 🌍🛰️
#ML #RemoteSensing #MachineLearning #DataScience
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📊 Python for Data in 2026: What changed?
New comprehensive guide covering:
✨ Core concepts
🔧 Practical examples
⚡ Performance tips
🎯 Best practices
Dive in �kubaik.github.io/python-for-dataEzcO7
#PythonDev #Python #ML #LLM #MachineLearning
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🔥 Daily AI Paper (2026-03-27)
📄 PixelSmile: Toward Fine-Grained Facial Expression Editing
chatpaper.ai/dashboard/pape…sPx
#AI #ML #ChatPaper
PixelSmile: Toward Fine-Grained Facial Expression Editing
Fine-grained facial expression editing has long been limited by intrinsic semantic overlap. To address this, we construct the Flex Facial Expression (FFE) dataset with continuous affective annotati...
From chatpaper.ai 5
Understanding Seq2Seq Neural Networks – Part 8: When Does the Decoder Stop? #machinelearning #ml #artificialintelligence #ai #dormosheio dormoshe.io/trending-news/…
Understanding Seq2Seq Neural Networks – Part 8: When Does the Decoder Stop?
So, we plug the word
From dormoshe.io 3
I continue adding more 𝐅𝐑𝐄𝐄 resources for@my @X Subscribers to access: 𝗼𝘃𝗲𝗿 𝟒𝟕𝟎𝟎 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲. Subscribe for only US$6/month
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