Failed Machine Learning
github.com·1d·
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🤖AI
Lessons from Studying Two-Hop Latent Reasoning
lesswrong.com·2d
🤖AI
Energy-Based Transformers Are Scalable Learners and Thinkers
alexiglad.github.io·1h·
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🤖AI
LLMs as Retrieval and Recommendation Engines
medium.com·1d·
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🤖AI
VaultGemma: The world's most capable differentially private LLM
research.google·1d·
🤖AI
Low-Rank Attention: Scaling Transformers Without the Quadratic Cost
lightcapai.medium.com·1d·
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🤖AI
Scvi-hub: an actionable repository for model-driven single-cell analysis
nature.com·18h·
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🧪computational biology
Defeating Nondeterminism in LLM Inference
simonwillison.net·2d
🤖AI
How to calibrate a large-scale agent-based model?
mcrcsm.substack.com·2d·
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🧪computational biology
Why OpenAI’s solution to AI hallucinations would kill ChatGPT tomorrow
theconversation.com·1d·
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🤖AI
MLPerf Inference v5.1 Results Land with New Benchmarks and Record Participation
hpcwire.com·2d·
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💻computing
Dissecting Batching Effects in GPT Inference
le.qun.ch·1d·
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🤖AI
Review: SpikingBrain Technical Spiking Brain-Inspired Large Models
arxiviq.substack.com·7h·
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🤖AI
Why feature selection methods rarely agree (I tested five side by side)
aayushig950.substack.com·3d·
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🧪computational biology
From Legal Documents to Knowledge Graphs
neo4j.com·10h·
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⌨️programming
Restore hyperspectral images in a latent space
sciencedirect.com·2d·
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🧬genomics
The functional form of value normalization in human reinforcement learning
elifesciences.org·2d·
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🤖AI
Real-Time Detection of Hallucinated Entities in Long-Form Generation
hallucination-probes.com·2d·
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💻computing
Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
arxiv.org·2d·
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🤖AI
Prediction of evolutionarily conserved RNA secondary structures from sequences
academic.oup.com·20h·
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🧪computational biology