Qwen Image Models Training - 0 to Hero Level Tutorial - LoRA & Fine Tuning - Base & Edit Model
dev.to·9h·
Discuss: DEV
🚀MLOps
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A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
arxiv.org·2d
⛓️LangChain
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Continuous Autoregressive Language Models
shaochenze.github.io·1d·
Discuss: Hacker News
📝Natural Language Processing
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Post-training methods for language models
developers.redhat.com·2d
📝Natural Language Processing
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AI Papers to Read in 2025
towardsdatascience.com·9h
🤖AI
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Fine-Tuning LLMs: The Unseen Challenge of 'Concept Drift'
dev.to·13h·
Discuss: DEV
⛓️LangChain
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Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
arxiv.org·2h
👁️Computer Vision
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Unlocking AI Vision with the Wisdom of Cats: Building Generalizable Models
dev.to·22h·
Discuss: DEV
👁️Computer Vision
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Fine-tuning a chat model to mimic one person
reddit.com·8h·
Discuss: r/LocalLLaMA
⛓️LangChain
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From raw text to training gold: How to collect and prepare data for custom LLMs
pub.towardsai.net·13h
🚀MLOps
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A brief guide for those who slept (on AI) the last two years
github.com·15h·
Discuss: DEV
🚀MLOps
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Generalizing Test-Time Compute-Optimal Scaling as an Optimizable Graph
huggingface.co·1d·
Discuss: Hacker News
🚀MLOps
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The Complexity Cliff: Why Reasoning Models Work Right Up Until They Don't
rewire.it·7h·
Discuss: Hacker News
🚀MLOps
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Unlock the Power of GANs: Train with Tiny Datasets!
dev.to·1d·
Discuss: DEV
👁️Computer Vision
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AI Safety at the Frontier: Paper Highlights of October 2025
lesswrong.com·17h
🤖Transformers
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·2d
🧠Machine Learning
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Friday 5 December 2025 - 11am
informatics.ed.ac.uk·21h
🧠Machine Learning
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Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving
arxiv.org·2d
🚀MLOps
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LDBT instead of DBTL: combining machine learning and rapid cell-free testing
nature.com·16h
🧠Machine Learning
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Accumulating Context Changes the Beliefs of Language Models
lm-belief-change.github.io·15m·
Discuss: Hacker News
🚀MLOps
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