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Database.news – curated list of database news from authoritative sources
database.news·12h·
Discuss: Lobsters, Hacker News
🤖LLM
Expertise is a Hungry Beast and You’re Just Its Handler - Blaugust the Tenth
angrybunnyman.com·3h
💭Prompt Engineering
Programming a Language
nrinaudo.github.io·20h·
Discuss: Hacker News
💭Prompt Engineering
AI Agents or Workflows? Why You Should Skip Agents for 80% of Automation Tasks
milvus.io·1d
💭Prompt Engineering
Foundation models are going multimodal
twelvelabs.io·17h·
Discuss: Hacker News
💭Prompt Engineering
Creating good content with AI still needs good amount of iteration if you CARE
news.ycombinator.com·18h·
Discuss: Hacker News
💭Prompt Engineering
Reverse-Engineering a Solar Power Station During War: Our Survival Tech Story
dev.to·7h·
Discuss: DEV
💭Prompt Engineering
"Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas
arxiv.org·1h
💭Prompt Engineering
Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution
arxiv.org·1d
🤖LLM
Age of Information Minimization in Goal-Oriented Communication with Processing and Cost of Actuation Error Constraints
arxiv.org·1h
💭Prompt Engineering
Affordance-R1: Reinforcement Learning for Generalizable Affordance Reasoning in Multimodal Large Language Model
arxiv.org·1d
💭Prompt Engineering
SKATE, a Scalable Tournament Eval: Weaker LLMs differentiate between stronger ones using verifiable challenges
arxiv.org·1d
💭Prompt Engineering
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Prompt Engineering for Developers: Integrating LLMs into Apps for Higher Accuracy and Faster Time-to-Market
dev.to·1d·
Discuss: DEV
💭Prompt Engineering
Let's talk about the GLM 4.5 models.
threadreaderapp.com·14h
💭Prompt Engineering
Middleware Architecture Patterns for Request Processing(3804)
dev.to·21h·
Discuss: DEV
💭Prompt Engineering
Audio-Thinker: Guiding Audio Language Model When and How to Think via Reinforcement Learning
arxiv.org·1h
💭Prompt Engineering
CountQA: How Well Do MLLMs Count in the Wild?
arxiv.org·1h
💭Prompt Engineering
Pragmatics beyond humans: meaning, communication, and LLMs
arxiv.org·1d
💭Prompt Engineering
Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts
arxiv.org·1d
💭Prompt Engineering
LLMs vs. Chinese Anime Enthusiasts: A Comparative Study on Emotionally Supportive Role-Playing
arxiv.org·1d
💭Prompt Engineering