Vacancy for Web Archiving Data Analyst and Crawl Engineer at The National Archives (UK)
dpconline.org·8h
💾Data Preservation
Women portrayed as younger than men online, and AI amplifies the bias
phys.org·7h
🏛Digital humanities
Beyond Indexes: How Open Table Formats Optimize Query Performance
jack-vanlightly.com·11h·
Discuss: Lobsters, Hacker News, r/programming
🚀Query Optimization
How I Used ChatGPT to Land My Next Data Science Role
towardsdatascience.com·2d
🗺️Competency Maps
How to Challenge Workplace Bias and Prove That Age Is an Advantage
hackernoon.com·8h
🎯Threat Hunting
Vxceed builds the perfect sales pitch for sales teams at scale using Amazon Bedrock
aws.amazon.com·7h
🖥️Self-hosted Infrastructure
Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search
arxiv.org·20h
📏Range Queries
Cost Efficient Fairness Audit Under Partial Feedback
arxiv.org·1d
🌸Bloom Variants
The Invisible Hand: LLM influence is the new SEO
getspore.com·2d·
Discuss: Hacker News
🤖AI Curation
Mapping Patient-Perceived Physician Traits from Nationwide Online Reviews with LLMs
arxiv.org·1d
🔍Information Retrieval
Age and gender distortion in online media and large language models
nature.com·8h
📡Information theory
Adaptive Predictive Maintenance of PLC-Controlled Conveyor Systems via Multi-Modal Data Fusion and Anomaly Scoring
dev.to·1h·
Discuss: DEV
🌊Stream Processing
Beyond Outcome Reward: Decoupling Search and Answering Improves LLM Agents
arxiv.org·1d
⚡Proof Automation
You’ve Heard of SEO, but What Is GEO?
dev.to·7h·
Discuss: DEV
🤖AI Curation
Build a Perfect Blog with FastAPI: Full-Text Search for Posts
dev.to·1d·
Discuss: DEV
📰RSS Feed Discovery
Detecting Distillation Data from Reasoning Models
arxiv.org·1d
⚙️ABNF Mining
Evaluating LLMs for Demographic-Targeted Social Bias Detection: A Comprehensive Benchmark Study
arxiv.org·1d
📜Digital Philology
Evaluating the Sensitivity of LLMs to Harmful Contents in Long Input
arxiv.org·20h
📝ABNF Extensions
I Built a Prompt to Optimize My Blog for Both Google and AI Overviews
dev.to·2d·
Discuss: DEV
📊Feed Optimization
On Predicting Post-Click Conversion Rate via Counterfactual Inference
arxiv.org·1d
⚖️Feed Ranking