Principles for Picking Practical Interpretability Projects
lesswrong.com·2h
🔍AI Interpretability
Categorical Features: The Backbone of Search & Recs Engineering
shaped.ai·19h
🔍Vector Search Algorithms
The Man Behind the Sound: Demystifying Audio Private Attribute Profiling via Multimodal Large Language Model Agents
arxiv.org·15h
🧠LLM Inference
How to enable real time semantic search and RAG applications with Dataflow ML
cloud.google.com·3h
🎯Qdrant
Are We Entering a First-Order Optimizer Renaissance?
lukemerrick.com·20h·
Discuss: Hacker News
🆕New AI
What can we expect of LLMs as Software Engineers?
chelseatroy.com·23h
📝Text Parsing
Links 15/07/2025: Press Freedom at Risk and New Facebook Blunders
techrights.org·3h
🛡️Content Moderation
Evaluating AI language models just got more effective and efficient
news.stanford.edu·19h
🏆LLM Benchmarking
Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning
arxiv.org·15h
🧠LLM Inference
My Participation in the METR AI Productivity Study
domenic.me·5h·
Discuss: Hacker News
🔧Developer tools
CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards
arxiv.org·15h
📊Statistical Ranking
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
arxiv.org·15h
🧠LLM Inference
New method makes AI language model evaluations faster, fairer, and less costly
techxplore.com·3h
🏆LLM Benchmarking
Representation learning with a transformer by contrastive learning for money laundering detection
arxiv.org·15h
📊Vector Databases
Structuring Radiology Reports: Challenging LLMs with Lightweight Models
arxiv.org·15h
🔄LLM RAG Pipelines
Functional Abstract Interpretation
simon.peytonjones.org·19h·
Discuss: Hacker News
💻Programming languages
ViSP: A PPO-Driven Framework for Sarcasm Generation with Contrastive Learning
arxiv.org·15h
💻Programming languages
As chatbots improve, humans' unique language abilities are becoming less special
phys.org·5h
🎭Claude
Improving Multimodal Learning via Imbalanced Learning
arxiv.org·15h
🔗Hybrid Search
Overcoming catastrophic forgetting in neural networks
arxiv.org·15h
🧠LLM Inference