Title: LLMs for Your Business: Is it Better to Retrain the Brain or Give it an Open Book? (RAG vs. Fine-Tuning)
dev.to·9h·
Discuss: DEV
⛓️LangChain
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Active transfer learning for structural health monitoring
arxiv.org·22h
🧠Machine Learning
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Don’t Just Normalize, Batch Normalize! A Guide to Stable Neural Networks
pub.towardsai.net·21h
🤖Transformers
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Writing an LLM from scratch, part 26 – evaluating the fine-tuned model
gilesthomas.com·7h·
Discuss: Hacker News
🚀MLOps
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.com·1d
🤖Transformers
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How We Built a Custom Vision LLM to Improve Document Processing at Grab
engineering.grab.com·3h
📝Natural Language Processing
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Scaling Coding-Agent RL to 32x H100s. 160% Improvement on Stanford's TBench
github.com·14h·
🚀MLOps
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·14h
🤖AI
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A Practitioner's Guide to Kolmogorov-Arnold Networks
arxiviq.substack.com·1d·
Discuss: Substack
🧠Machine Learning
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ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for LargeVision-and-Language Models
paperium.net·2d·
Discuss: DEV
🚀MLOps
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·1d·
Discuss: r/LLM
🤖Transformers
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It Doesn’t Need to Be a Chatbot
towardsdatascience.com·2h
⛓️LangChain
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Shape-Shifting AI: Making Models That Adapt to Data
dev.to·1d·
Discuss: DEV
👁️Computer Vision
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·1d·
Discuss: DEV
🧠Machine Learning
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Hybrid-Attention models are the future for SLMs
inference.net·1h·
Discuss: Hacker News
🤖Transformers
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Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
journals.aps.org·3h
👁️Computer Vision
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How Transformer Models Detect Anomalies in System Logs
hackernoon.com·9h
🧠Machine Learning
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From hours to seconds: AI tools to detect animal calls
seangoedecke.com·1d·
Discuss: Hacker News
🧠Machine Learning
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