Fine-tuning

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Apple WWDC On-Device AI Deep Dive - Google Docs

 🧠Machine Learning
gist.is··Hacker News

Malicious Hugging Face Models Could Trigger Remote Code Execution

 🤗HuggingFace
techrepublic.com·

Google Colab CLI opens runtimes to Claude Code and Codex

 🤝AI Agents

Which LoRA? An Empirical Study on the Effectiveness of LoRA Techniques During Multilingual Instruction Tuning

 🤖LLM  Content type: Academic
arxiv.org·

Anthropic releases Claude Fable 5 and Mythos 5 with major gains in coding and science

 🛸Science Fiction
oodaloop.com·

What's in the Box? A Field Guide to AI Models

 🤖LLM  Content type: Blog
iankduncan.com·

Hugging Face Transformers RCE flaw enables stealthy compromise via AI model configs

 🤗HuggingFace
csoonline.com·

Claude Fable 5 silently degrades its own performance on frontier AI work

 Jax  Content type: News  Content type: Blog

Some Interesting Papers on RLVR

 🎮Reinforcement Learning
lesswrong.com·

Fine-tune FLUX.2 [Klein] with a LoRA under 60 minutes

 🤗HuggingFace  Content type: Blog

1-bit and 1.58 bit LLM Benchmarking on Jetson Orin Nano Super | Bonsai LM

 🐍Python
smolhub.com··r/LocalLLaMA

DiffusionGemma: The Developer Guide- Google Developers Blog

 🤖LLM  Content type: Blog

Sen-sou/Bobs-Lora-Loader-Anima: A custom LoRA loader node for ComfyUI with advanced block-weighting controls for SDXL, FLUX and Anima models. Features presets for common use-cases like 'Character' and 'Style', and a 'Custom' mode for fine-grained control over individual model blocks.

 🤗HuggingFace  Content type: Code

Critical Hugging Face Transformers flaw ran attacker code on a routine model load

 🤗HuggingFace
siliconangle.com·

Vibe Diaries: Training Nanochat

 🧠Machine Learning
vibediary.dev··Hacker News

Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information

 🎮Reinforcement Learning

Hugging Face Transformers flaw enables RCE via malicious model configs

 🤗HuggingFace
4sysops.com·

Can You Hide From a Natural Language Autoencoder?

 🤖LLM  Content type: Blog
yogesh.bearblog.dev·

GPT-2: Too Dangerous To Release (2019)

 🧠Machine Learning  Content type: Blog

Small Data, Big Noise: Adversarial Training for Robust Parameter-Efficient Fine-Tuning

 🧠Deep Learning  Content type: Academic
arxiv.org·

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