[D] How to best fine-tune a T5 model for a Seq2Seq extraction task with a very small dataset?
reddit.com·1d·
Discuss: r/MachineLearning
⚙️Compression Benchmarking
10 Must-Know SQL Queries for Business Use Cases
dev.to·5h·
Discuss: DEV
🚀Query Optimization
Primed for Performance: Turbocharging Transformers for Time Series Analysis by Arvind Sundararajan
dev.to·20h·
Discuss: DEV
📈Time Series
Decoupling Search and Learning in Neural Net Training
arxiv.org·1d
🧠Learned Indexing
Analyzing Information-Seeking Behaviors in a Hakka AI Chatbot: A Cognitive-Pragmatic Study
arxiv.org·1d
🤖Grammar Induction
Gene-R1: Reasoning with Data-Augmented Lightweight LLMs for Gene Set Analysis
arxiv.org·1d
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
Towards Automated Error Discovery: A Study in Conversational AI
arxiv.org·1d
🧠Intelligence Compression
My Experiments with NotebookLM for Teaching
towardsdatascience.com·17h
🌱Personal Wikis
Revolutionizing Data Pipelines: The Role of AI in Data Engineering
dev.to·22h·
Discuss: DEV
🌊Stream Processing
How AI Can Predict the Success of Your Business Using Data from Google Maps
dev.to·31m·
Discuss: DEV
🕵️Feed Discovery
Understanding Python Decorators with Real-Life Examples ✨
dev.to·3h·
Discuss: DEV
📝Concrete Syntax
LLM Enhancement with Domain Expert Mental Model to Reduce LLM Hallucination with Causal Prompt Engineering
arxiv.org·1d
💻Local LLMs
Lies-in-the-Loop (LITL): Attacking (and Defending) Human-in-the-Loop AI Workflows
dev.to·17h·
Discuss: DEV
🎯Threat Hunting
Unlock ECG Insights: A Universal Language for AI-Powered Heart Analysis
dev.to·1h·
Discuss: DEV
🎵Audio ML
The Rise of Semantic Entity Resolution
towardsdatascience.com·2d
📄Semantic Chunking
Building Coding Agents via Entropy-Enhanced Multi-Turn Preference Optimization
arxiv.org·7h
🧠Intelligence Compression
Scalable Biofilm Monitoring & Control via AI-Driven Reactive Dosing in Aquaculture RAS
dev.to·10h·
Discuss: DEV
☕Precision Brewing
Mob-based cattle weight gain forecasting using ML models
arxiv.org·7h
🧠Machine Learning
Unveiling Hidden Structures: A New Algorithm for Cross-Graph Harmony by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🌈Spectral Methods
A funny companion: Distinct neural responses to perceived AI- versus humangenerated humor
arxiv.org·1d
👁️Perceptual Coding