Scaling Coding-Agent RL to 32x H100s. 160% Improvement on Stanford's TBench
github.com·1d·
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🤖AI
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AI Summarization Optimization
schneier.com·1d·
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🤖AI
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ClickHouse welcomes LibreChat: Introducing the open-source Agentic Data Stack
clickhouse.com·13h·
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💻computing
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The Work of AI, Ourselves
oliverbatemandoesthework.substack.com·18h·
Discuss: Substack
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.medium.com·3h·
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⌨️programming
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Parallel achieves 70% accuracy on SEAL, benchmark for hard web research
parallel.ai·3h·
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💻computing
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·22h·
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⌨️programming
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A Claude Code Command for Hypothesis
hypothesis.works·4h·
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⌨️programming
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Video Invisible Watermarking at Scale
engineering.fb.com·5h·
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💻computing
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Deep DIVE: AI progress continues, as IQ scores rise linearly
maximumtruth.org·2d·
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Fixing the Feeds: A Policy Roadmap for Algorithms That Put People First
kgi.georgetown.edu·2h·
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🧪computational biology
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Our newest model: Chandra (OCR)
datalab.to·2d·
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💻computing
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Small Vs. Large Language Models
semiengineering.com·1d·
Discuss: Hacker News, r/LLM
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Yes, you should understand backprop (2016)
karpathy.medium.com·2d·
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⌨️programming
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I Use AI
ben.stolovitz.com·8h·
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🤖AI
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Show HN: Oodle – Unified Debugging with OpenSearch and Grafana
blog.oodle.ai·7h·
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💻computing
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Lazy loading isn't the magic pill to fix AI Inference
tensorfuse-docs.mintlify.dev·8h·
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💻computing
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Mathematics solves problems by pen and paper. CS helps us to go far beyond that
cacm.acm.org·2d·
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💻computing
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Vision = Language: I Decoded VLM Tokens to See What AI 'Sees' 🔬
reddit.com·2d·
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🤖AI
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The Trap of Applying Generic Models to Business Needs
gmicloud.ai·1h·
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🤖AI
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