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AutoQRA: Joint Optimization of Mixed-Precision Quantization and Low-rank Adapters for Efficient LLM Fine-Tuning
arxiv.org·1d
🎛️Fine-tuning
Sakana AI Introduces Doc-to-LoRA and Text-to-LoRA: Hypernetworks that Instantly Internalize Long Contexts and Adapt LLMs via Zero-Shot Natural Language
marktechpost.com·22h
🎛️Fine-tuning
Accuracy vs. Speed in Local LLMs: Finding Your Sweet Spot
grigio.org·6h·
Discuss: Hacker News
🎛️Fine-tuning
Deep Dive into Transformer Encoders by Hand ✍️
pub.towardsai.net
·11h
⚡Transformers
Sparse Activation in MoE Models: Extending ReLUfication to Mixture-of-Experts
hackernoon.com·16h
🎛️Fine-tuning
Instant LLM Updates with Doc-to-LoRA and Text-to-LoRA
pub.sakana.ai·20h·
Discuss: Lobsters, Hacker News
🎛️Fine-tuning
Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models
arxiv.org·1d
💬LLMs
Optimizing Deep Learning Models with SAM
towardsdatascience.com·4d
📈Optimization
Packaging AI/ML Models as Conda Packages
prefix.dev·7h·
Discuss: Lobsters, Hacker News
⚙️MLOps
Artificial Intelligence and Intelligent Empowerment
thoughtworks.com·18h
🎯AI Agents
Asura: Looped Language Models done better
neel04.github.io·2d·
Discuss: Hacker News
💬LLMs
New ARENA material: 8 exercise sets on alignment science & interpretability
lesswrong.com·22h
🤖Automated Reasoning
Frikallo/parakeet.cpp: Ultra fast and portable Parakeet implementation for on-device inference in C++ using Axiom with MPS+Unified Memory and Cuda support
github.com·1d·
Discuss: Hacker News
⚡Hardware Acceleration
VLM Validation and Document Intelligence
pub.towardsai.net·18h
🤖Machine Learning
Driving the Edge: YOLOv11 Autonomous Mastery with MentorPi
hackster.io·8h
🧠Deep Learning
How AI-Native Engineering Boosts Your App’s Scalability
hackernoon.com·1d
⚡Code Generation
From "Vibe Checks" to Continuous Evaluation: Engineering Reliable AI Agents
cloud.google.com·23h
🎯AI Agents
Unsloth Dynamic 2.0 GGUFs
unsloth.ai·7h·
Discuss: Hacker News, r/LocalLLaMA
🎛️Fine-tuning
Can LLM Embeddings Improve Time Series Forecasting? A Practical Feature Engineering Approach
machinelearningmastery.com·1d
⚡Speculative Decoding
Scaling ML Inference on Databricks: Liquid or Partitioned? Salted or Not?
towardsdatascience.com·3h
⚙️MLOps

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