Researchers glimpse the inner workings of protein language models
phys.org·2h
🔢Denotational Semantics
Grammarly Is Rolling Out a New Interface and More AI Tools
lifehacker.com·17h
📝Concrete Syntax
Newgrounds Wiki – RSS
newgrounds.com·22h·
Discuss: Hacker News
📰RSS Reading Practices
6 ChatGPT Prompts Every Vibe Coder Must Know
vibe.forem.com·3h·
Discuss: DEV
🎙️Whisper
URL context tool for Gemini API now generally available
developers.googleblog.com·15h
🌀Brotli Internals
AI 'Map Reduce': Scaling AI Tasks
danielsada.tech·23h·
Discuss: Hacker News
⚙️Batch Processing
Language Models as Thespians
jstrieb.github.io·59m·
Discuss: Hacker News
💻Local LLMs
Dynamic Organizational Resilience Assessment via Multi-Modal Data Fusion & HyperScore Evaluation
dev.to·11h·
Discuss: DEV
🎯Recommendation Metrics
How I Cut Agentic Workflow Latency by 3-5x Without Increasing Model Costs
hackernoon.com·10h
⚙️Batch Processing
Index-Aligned Query Distillation for Transformer-based Incremental Object Detection
arxiv.org·1d
📝Document Chunking
Predicting ChatGPT Use in Assignments: Implications for AI-Aware Assessment Design
arxiv.org·4h
🗺️Competency Maps
MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding
arxiv.org·4h
📊Learned Metrics
Deep Learning Model for Amyloidogenicity Prediction using a Pre-trained Protein LLM
arxiv.org·4h
🧮Vector Embeddings
Hyperdimensional Semantic Alignment via Learned Kernel Regression for Enhanced Knowledge Graph Triplet Extraction
dev.to·1d·
Discuss: DEV
🤖Grammar Induction
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
arxiv.org·1d
📊Learned Metrics
Hyper-Scale Semantic Graph Construction for Enhanced Knowledge Retrieval in Google Search
dev.to·2d·
Discuss: DEV
🔍Semantic Search
Automated Knowledge Graph Augmentation via Semantic Drift Compensation
dev.to·1d·
Discuss: DEV
🔍Information Retrieval
From Heuristics to Data: Quantifying Site Planning Layout Indicators with Deep Learning and Multi-Modal Data
arxiv.org·4h
🏺Computational Archaeology
Optimal Condition for Initialization Variance in Deep Neural Networks: An SGD Dynamics Perspective
arxiv.org·4h
🧠Machine Learning
From Feedback to Failure: Automated Android Performance Issue Reproduction
arxiv.org·1d
👁️Observatory Systems