A few themes from #RSNA24 scientific sessions and exhibit hall:
➡️ How do we benchmark #LLM performance?
➡️ How do we differentiate between a growing cohort of #visionmodels for similar use cases?
➡️ Can we converge on the latest standards for seamless clinical integration?
@rsnasky.bsky.social
➡️ How do we benchmark #LLM performance?
➡️ How do we differentiate between a growing cohort of #visionmodels for similar use cases?
➡️ Can we converge on the latest standards for seamless clinical integration?
@rsnasky.bsky.social
December 4, 2024 at 5:14 PM
A few themes from #RSNA24 scientific sessions and exhibit hall:
➡️ How do we benchmark #LLM performance?
➡️ How do we differentiate between a growing cohort of #visionmodels for similar use cases?
➡️ Can we converge on the latest standards for seamless clinical integration?
@rsnasky.bsky.social
➡️ How do we benchmark #LLM performance?
➡️ How do we differentiate between a growing cohort of #visionmodels for similar use cases?
➡️ Can we converge on the latest standards for seamless clinical integration?
@rsnasky.bsky.social
PS: 📅 #HELPLINE. Want to discuss your article? Need help structuring your story? Make a date with the editors of Low Code for Data Science via Calendly → calendly.com/low-code-blo...
#datascience #llms #visionmodels #imageediting #workflows #KNIME #lowcode #nocode #opensource #visualprogramming
#datascience #llms #visionmodels #imageediting #workflows #KNIME #lowcode #nocode #opensource #visualprogramming
August 29, 2025 at 8:14 AM
PS: 📅 #HELPLINE. Want to discuss your article? Need help structuring your story? Make a date with the editors of Low Code for Data Science via Calendly → calendly.com/low-code-blo...
#datascience #llms #visionmodels #imageediting #workflows #KNIME #lowcode #nocode #opensource #visualprogramming
#datascience #llms #visionmodels #imageediting #workflows #KNIME #lowcode #nocode #opensource #visualprogramming
Next-Embedding Prediction Makes Strong Vision Learners
Joyce Chai, Saining Xie et al.
Paper
Details
#SelfSupervisedLearning #VisionModels #DeepLearning
Joyce Chai, Saining Xie et al.
Paper
Details
#SelfSupervisedLearning #VisionModels #DeepLearning
December 19, 2025 at 9:02 AM
Next-Embedding Prediction Makes Strong Vision Learners
Joyce Chai, Saining Xie et al.
Paper
Details
#SelfSupervisedLearning #VisionModels #DeepLearning
Joyce Chai, Saining Xie et al.
Paper
Details
#SelfSupervisedLearning #VisionModels #DeepLearning
Apple's FastVLM breakthrough boosts vision-language model speed and accuracy by efficiently handling high-resolution images while reducing latency. Exciting progress in AI vision tech! 🚀🤖 #AI #MachineLearning #VisionModels #TechInnovation https://rpst.cc/Tm6Qb3
July 30, 2025 at 11:17 AM
Apple's FastVLM breakthrough boosts vision-language model speed and accuracy by efficiently handling high-resolution images while reducing latency. Exciting progress in AI vision tech! 🚀🤖 #AI #MachineLearning #VisionModels #TechInnovation https://rpst.cc/Tm6Qb3
Supercharging CLIP with LLMs: A New Era for Multimodal AI 🔍🤖📈 www.azoai.com/news/2024111... #AI #MachineLearning #Multimodal #LLM #CLIP #MicrosoftResearch #TongjiUniversity #VisionModels #DeepLearning #Innovation
Supercharging CLIP with LLMs: A New Era for Multimodal AI
Researchers from Microsoft and Tongji University introduced LLM2CLIP, a novel framework leveraging large language models (LLMs) to dramatically enhance CLIP’s multimodal capabilities. By fine-tuning L...
www.azoai.com
November 15, 2024 at 2:35 AM
Supercharging CLIP with LLMs: A New Era for Multimodal AI 🔍🤖📈 www.azoai.com/news/2024111... #AI #MachineLearning #Multimodal #LLM #CLIP #MicrosoftResearch #TongjiUniversity #VisionModels #DeepLearning #Innovation
A study shows that pruning a large vision model on a single downstream task preserves its zero‑shot ability on other unseen tasks, and fine‑tuning improves performance. https://getnews.me/pruning-pre-trained-vision-models-preserves-zero-shot-ability/ #visionmodels #zeroshot #pruning
September 30, 2025 at 5:19 PM
A study shows that pruning a large vision model on a single downstream task preserves its zero‑shot ability on other unseen tasks, and fine‑tuning improves performance. https://getnews.me/pruning-pre-trained-vision-models-preserves-zero-shot-ability/ #visionmodels #zeroshot #pruning
✍️ New blog post by michal salanci
Where exactly is the card in this photo? Image segmentation model inside a maxed-out lambda container
#aws #machinelearning #lambda #visionmodels
Where exactly is the card in this photo? Image segmentation model inside a maxed-out lambda container
#aws #machinelearning #lambda #visionmodels
Where exactly is the card in this photo? Image segmentation model inside a maxed-out lambda container
A crooked phone photo goes in, a clean straight card image comes out - no GPU, and nothing running...
dev.to
August 11, 2026 at 12:04 AM
✍️ New blog post by michal salanci
Where exactly is the card in this photo? Image segmentation model inside a maxed-out lambda container
#aws #machinelearning #lambda #visionmodels
Where exactly is the card in this photo? Image segmentation model inside a maxed-out lambda container
#aws #machinelearning #lambda #visionmodels
✍️ New blog post by michal salanci
Is this even a valid card? Zero-shot image classification model in a lambda container
#aws #machinelearning #lambda #visionmodels
Is this even a valid card? Zero-shot image classification model in a lambda container
#aws #machinelearning #lambda #visionmodels
Is this even a valid card? Zero-shot image classification model in a lambda container
No training, no training data and no GPU. This classifier's whole brain is a list of English...
dev.to
August 10, 2026 at 10:04 PM
✍️ New blog post by michal salanci
Is this even a valid card? Zero-shot image classification model in a lambda container
#aws #machinelearning #lambda #visionmodels
Is this even a valid card? Zero-shot image classification model in a lambda container
#aws #machinelearning #lambda #visionmodels
Ollama Local LLM Platform Unveils Custom Multimodal AI Engine, Steps Away from Llama.cpp Framework
#Ollama #MultimodalAI #LocalLLM #AI #ArtificialIntelligence #MachineLearning #VisionModels #OpenSourceAI #LLM #AIEngine #TechNews #LocalAI
winbuzzer.com/2025/05/16/o...
#Ollama #MultimodalAI #LocalLLM #AI #ArtificialIntelligence #MachineLearning #VisionModels #OpenSourceAI #LLM #AIEngine #TechNews #LocalAI
winbuzzer.com/2025/05/16/o...
Ollama Local LLM Platform Unveils Custom Multimodal AI Engine, Steps Away from Llama.cpp Framework - WinBuzzer
Ollama launches its new custom engine for multimodal AI, enhancing local inference for vision and text with improved reliability and performance, moving beyond direct llama.cpp dependency.
winbuzzer.com
May 16, 2025 at 3:40 PM
Ollama Local LLM Platform Unveils Custom Multimodal AI Engine, Steps Away from Llama.cpp Framework
#Ollama #MultimodalAI #LocalLLM #AI #ArtificialIntelligence #MachineLearning #VisionModels #OpenSourceAI #LLM #AIEngine #TechNews #LocalAI
winbuzzer.com/2025/05/16/o...
#Ollama #MultimodalAI #LocalLLM #AI #ArtificialIntelligence #MachineLearning #VisionModels #OpenSourceAI #LLM #AIEngine #TechNews #LocalAI
winbuzzer.com/2025/05/16/o...
The study examined CLIP and OpenCLIP models and found surgeons most associated with Indian male faces, while speech therapists linked to white female faces. https://getnews.me/ai-vision-models-show-gender-and-ethnicity-bias-in-healthcare-jobs/ #aibias #healthcare #visionmodels
October 9, 2025 at 10:51 PM
The study examined CLIP and OpenCLIP models and found surgeons most associated with Indian male faces, while speech therapists linked to white female faces. https://getnews.me/ai-vision-models-show-gender-and-ethnicity-bias-in-healthcare-jobs/ #aibias #healthcare #visionmodels
Fine‑tuning vision models, even those pretrained on LAION‑2B, can sharply cut out‑of‑distribution robustness; the ImageNet‑RIB benchmark quantifies this drop. https://getnews.me/large-pretraining-datasets-may-reduce-robustness-after-fine-tuning/ #visionmodels #robustness #laion2b
September 29, 2025 at 7:28 PM
Fine‑tuning vision models, even those pretrained on LAION‑2B, can sharply cut out‑of‑distribution robustness; the ImageNet‑RIB benchmark quantifies this drop. https://getnews.me/large-pretraining-datasets-may-reduce-robustness-after-fine-tuning/ #visionmodels #robustness #laion2b
Seven SSL models were tested on ImageNet; they outperformed a supervised baseline under adversarial attacks in linear‑eval, but fine‑tuning narrows it. Read more: https://getnews.me/adversarial-robustness-of-discriminative-self-supervised-vision-models/ #selfsupervised #adversarial #visionmodels
September 27, 2025 at 1:09 AM
Seven SSL models were tested on ImageNet; they outperformed a supervised baseline under adversarial attacks in linear‑eval, but fine‑tuning narrows it. Read more: https://getnews.me/adversarial-robustness-of-discriminative-self-supervised-vision-models/ #selfsupervised #adversarial #visionmodels
LoRA fine‑tuning lifted a vision model’s balanced accuracy to 88.37% for atypical mitotic figure detection in the MIDOG 2025 challenge using Virchow with rank‑8. https://getnews.me/parameter-efficient-fine-tuning-boosts-vision-models-for-atypical-mitotic-figure-detection/ #lora #visionmodels
September 24, 2025 at 3:19 PM
LoRA fine‑tuning lifted a vision model’s balanced accuracy to 88.37% for atypical mitotic figure detection in the MIDOG 2025 challenge using Virchow with rank‑8. https://getnews.me/parameter-efficient-fine-tuning-boosts-vision-models-for-atypical-mitotic-figure-detection/ #lora #visionmodels
A study found response‑optimized models best early/mid‑level, while LLM embeddings and task‑optimized models excel higher areas; a new readout boosted accuracy 3%‑23% #visionmodels #languagemodels https://getnews.me/ai-vision-and-language-models-compared-for-human-visual-cortex-mapping/
September 22, 2025 at 8:16 PM
A study found response‑optimized models best early/mid‑level, while LLM embeddings and task‑optimized models excel higher areas; a new readout boosted accuracy 3%‑23% #visionmodels #languagemodels https://getnews.me/ai-vision-and-language-models-compared-for-human-visual-cortex-mapping/
RAD‑Conv adds four boundary offsets per kernel element to form rectangular sampling regions, improving receptive‑field control; paper submitted on 18 Sep 2025. Read more: https://getnews.me/region-aware-deformable-convolution-improves-vision-model-flexibility/ #radconv #deformableconv #visionmodels
September 22, 2025 at 7:03 AM
RAD‑Conv adds four boundary offsets per kernel element to form rectangular sampling regions, improving receptive‑field control; paper submitted on 18 Sep 2025. Read more: https://getnews.me/region-aware-deformable-convolution-improves-vision-model-flexibility/ #radconv #deformableconv #visionmodels
@ylecun #ai #visionmodels #ml $Meta Segment Anything Model v2 (SAM 2) is out.
Can segment images and videos.
Open source under Apache-2 license.
Web demo, paper, and datasets available.
Amazing performance.
x.com/ylecun/statu...
Can segment images and videos.
Open source under Apache-2 license.
Web demo, paper, and datasets available.
Amazing performance.
x.com/ylecun/statu...
x.com
x.com
July 30, 2024 at 6:46 AM
@ylecun #ai #visionmodels #ml $Meta Segment Anything Model v2 (SAM 2) is out.
Can segment images and videos.
Open source under Apache-2 license.
Web demo, paper, and datasets available.
Amazing performance.
x.com/ylecun/statu...
Can segment images and videos.
Open source under Apache-2 license.
Web demo, paper, and datasets available.
Amazing performance.
x.com/ylecun/statu...
Learn how to build a low-cost WhatsApp bot that analyzes images using AI vision models like Llama and GPT-4V, with Python and MongoDB.
#visionmodels
#visionmodels
How I Built an AI-Powered WhatsApp Bot That Analyzes Images Using Python and Vision Models
hackernoon.com
February 5, 2026 at 3:37 AM
Learn how to build a low-cost WhatsApp bot that analyzes images using AI vision models like Llama and GPT-4V, with Python and MongoDB.
#visionmodels
#visionmodels