AI-powered vision is making tech smarter Detects fires before alarms Smarter motion sensors (no false alarms) Keycard-free access control Checkout-free shopping Safer roads Workplace safety What else? Drop your ideas! #AI #ComputerVision
MACHINE LEARNING
-
AI Internship: Facial Recognition for Gorillas and Orangutans
By
–
2-Month Internship Offer – Artificial Intelligence for Facial Recognition of Mountain Gorillas and Orangutans. Contact: cedric.sueur@iphc.cnrs.fr [Translated from EN to English]
-
Hugging Face Surpasses 1.5 Million Public Models Milestone
By
–
There are now over 1.5 million public models on Hugging Face!
-
Development Team Optimizes GeMM and MoE for FP8 Processing
By
–
A member of the development team told us: "We've optimized a series of key operators, such as GeMM and MoE, at the instruction level to achieve native processing capabilities for FP8 data."
-
Meta researchers replace normalization with Dynamic Tanh in Transformers
By
–
Imagine a Transformer model without normalization. This is exactly what's proposed in a new paper from Meta, NYU, MIT, and Princeton. The authors found that normalization layers can be replaced with something called Dynamic Tanh (DyT). It looks like this: DyT(x)=γ ∗ tanh(αx)+β.
-
Computer Vision in Factories for Sustainability at Hampton Court
By
–
Discussing Computer Vision deployed to factories to make them more sustainable, alongside former BP CEO Bernard Looney. At Hampton Court palace in London. Thank you to King Charles and Jennifer Jordan-Saifi for organizing an excellent gathering.
-
ReAct: Synergizing Reasoning and Acting in Language Models
By
–
ReAct: Synergizing Reasoning and Acting in Language Models Yao et al.: https://
arxiv.org/abs/2210.03629 #ArtificialIntelligence #ChatGPT #ReinforcementLearning -
Speculation on Model Distillation and Gemma-Gemini Similarities
By
–
Good catch. Yes, maybe that's distilled down from a larger model they didn't open source. In that context, I am also curious how similar Gemma and Gemini models are.
-
Manual Human Evaluation and Daily Performance Monitoring Process
By
–
Had to evaluate manually with humans due to the nature of the content and the high stakes. I've been working with a small team who provide regular reports throughout each day on how each version is performing. I get their feedback, make adjustments, do some tests myself, and
-
LLM Distillation: Training Efficient Models for Specialized Tasks
By
–
LLM distillation helps train SLMs that retain the reasoning power of large models, while slashing inference costs. Join us to learn: Fine-tuning vs. distillation Training SLMs for specialized tasks Reducing latency & compute costs Register: https://
snorkel.ai/webinar/improv
ing-the-accuracy-of-domain-specific-tasks-with-llm-distillation/
…