🧰 LoRA

The items that name it 52

• [AINews] Google admits AI Mode hurts Search revenue; -15% $500B drop worst since 2004 IPO. AI Bear Market coming?
  articleas classification.technologies2026-10-31
• nemotron-halloween
  writeupas classification.technologies2026-10-30
• [AINews] Building AIE CODE: The top Coding Agent Conference
  articleas classification.technologies2026-10-30
• Welcome Le Chonk: Mistral Large 4 on Hugging Face
  articleas classification.technologies2026-10-29
• NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt
  articleas frameworks and tools2026-10-28

  Adapts the language model during fine-tuning in the medical ASR recipe.

• [AINews] Anthropic ends Coding Interviews: "Hunger beats tenure"
  articleas classification.technologies2026-10-28
• Introducing LFM3: Every Modality for Specialized Intelligence
  articleas frameworks and tools2026-10-27

  Adapter fine-tuning; rank-32 adapter used for robot orchestration.

• Task Format as a Factor in Adaptation: A Controlled Comparison of LoRA and Full Fine-Tuning for Prompt-Safety Classification
  paperas classification.technologies2026-10-24
• Gökdeniz Gülmez (@ActuallyIsaak) on X
  threadas classification.technologies2026-10-24
• When to Stop Penalizing Actions? Martingale GRPO for VLA Reinforcement Learning
  paperas frameworks and tools2026-10-23It is written here as LoRA (low-rank adaptation).

  Used to fine-tune the vision-language model on the authors' annotated training set

• MAST-VLA: Skill-Conditioned Adaptation with Trajectory-Affordance Priors for Multi-Skill Robot Manipulation
  paperas classification.technologies2026-10-23
• Symmetry-Based Parameter Efficient Low-Rank Fine-Tuning for High-Throughput Calculation of Lattice Thermal Conductivity
  paperas classification.technologies2026-10-21
• Scaling Parameter-Efficient Fine-Tuning for Brain Encoding
  paperas frameworks and tools2026-10-19

  Low-rank adapter used for parameter-efficient fine-tuning of pretrained backbones.

• [AINews] High Taste Testers Ep. 1
  articleas classification.technologies2026-10-17
• [AINews] High Taste Testers Ep. 1
  articleas classification.technologies2026-10-17
• [AINews] Agents disprove Polysemanticity; greatly improve Interpretability & Alignment
  articleas classification.technologies2026-10-16
• OpenMOSS/MOSS-Image
  repoas classification.technologies2026-10-16
• Welcome Beam: a 501B open model you can own, customize, and scale
  articleas classification.technologies2026-10-16
• Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint
  articleas classification.technologies2026-10-15
• Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta
  articleas classification.technologies2026-10-15
• Welcome FLUX.3 Image Klein in Diffusers
  articleas classification.technologies2026-10-15
• Cited but Not Consulted: A Counterfactual Audit of Legal Chain-of-Thought Faithfulness
  paperas classification.technologies2026-10-08
• The model that didn't exist, so you made it yourself
  articleas classification.technologies2026-10-08
• SLDR: Defending Against Malicious Fine-tuning via Selective Layers Recovery and Dynamic Routing
  paperas classification.technologies2026-10-07
• A Fine-Grained Analysis of the LoRA Fine-Tuning Landscape with Implications for Data Selection
  paperas classification.technologies2026-10-05
• HeuFouFT: Task-Guided Metaheuristic Coordinate Search for Fourier Fine-Tuning
  paperas classification.technologies2026-10-05
• [AINews] not much happened today
  articleas classification.technologies2026-10-03
• Harnessing Domain Specialists in Multimodal Mixture-of-Experts for Efficient Adaptation
  paperas frameworks and tools2026-10-01

  Used as a comparison baseline for adaptation performance and training efficiency; ExpertLens is reported to outperform it.

• LLM2Jev: LLMs Are Already Jev-Style Decision Models -- When and How to Fine-Tune Them
  paperas classification.technologies2026-10-01
• Clef / Clef-flash decision models (Cloudflare)
  articleas classification.technologies2026-10-01
• Uncensored and Offensive Security AI Models Benchmark
  repoas classification.technologies2026-09-29
• [AINews] Opus 5.5 is good at explainer videos
  articleas classification.technologies2026-09-29
• EvE: An Alternate Optimizer to Adam
  paperas classification.technologies2026-09-28
• New LoRA Skills Should Read but Never Write
  paperas classification.technologies2026-09-25
• [AINews] The Future of Latent Space
  articleas classification.technologies2026-09-25
• [AINews] Here are 6 Clones of Jev in 2 days
  articleas classification.technologies2026-09-19
• [AINews] not much happened today
  articleas classification.technologies2026-09-18
• OmniJev/awesome-jev-gallery
  repoas classification.technologies2026-09-17
• AnotiaWang/awesome-decision-models
  repoas classification.technologies2026-09-17
• Mapika/decider
  repoas classification.technologies2026-09-16
• Async GRPO with LoRA across HF Jobs: a bucket, a proxy, and no NCCL
  writeupas classification.technologies2026-09-10
• Training a coding model to paint watercolours with TRL and OpenEnv
  articleas classification.technologies2026-09-03
• Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps
  writeupas classification.technologies2026-09-03
• whitecircle/halo
  repoas classification.technologies2026-08-26
• Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers
  articleas classification.technologies2026-08-26
• MakazhanAlpamys/Soup
  repoas classification.technologies2026-08-14
• calmrocks/ai-engineer-notebooks
  repoas classification.technologies2026-08-11
• deepbeepmeep/Wan2GP
  repoas classification.technologies2026-07-30
• ThorOdinson246/whatisit-nl2sh
  repoas classification.technologies2026-07-29
• rohitg00/ai-engineering-from-scratch
  courseas classification.technologies
• MiMo-V2.6-Flash-RL (Xiaomi)
  repoas classification.technologies
• Calibration Without Comprehension: Diagnosing the Limits of Fine-Tuning LLMs for Vulnerability Detection in Systems Software
  paperas classification.technologies

In every workspace you can read 53