Fine-Tuning

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Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training

 👩‍💻AI Practitioners  Content type: Academic
arxiv.org·

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

 🧠Prompt Engineering
aermia.com··Hacker News

Orchestrate your LLM pipeline. Locally

 🧠Prompt Engineering
llmforge.app··Hacker News

Fine-tuning Large Language Models (LLMs) using PEFT

 👩‍💻AI Practitioners  Content type: Blog
medium.com
·

SecLoRA: Secure Aggregation of Low-Rank Matrix Products via Functional Encryption

 👩‍💻AI Practitioners
eprint.iacr.org·

luciobaiocchi/heard: Offline group-safety mesh for hikers: ESP32 + GPS + LoRa, with a firmware-in-the-loop simulator and 3D replay viewer

 🟢OpenAI  Content type: Code
github.com··Hacker News

New comment by bkjlblh in "Claude Fable 5"

 🧠Prompt Engineering  Content type: Discussion

Robust Multi-Mutant Protein Stability Prediction from a Fine-Tuned Evolutionary Scale Model

 👩‍💻AI Practitioners  Content type: Academic
biorxiv.org·

Some Interesting Papers on RLVR

 🧠Prompt Engineering
lesswrong.com·

Show HN: Bosun – a small model that keeps an agent's memory graph clean

 👩‍💻AI Practitioners
huggingface.co··Hacker News

Don't let the LLM speak, just probe it (8 minute read)

 🧠Prompt Engineering  Content type: Blog
blog.j11y.io·

Introducing the Google Colab CLI

 🧠Google DeepMind  Content type: Blog

If Claude Fable stops helping you, you’ll never know

 🧠Prompt Engineering

Anthropic Apologizes For One of the Guardrails on Its Fable 5 Model, and Will Change It

 🧠Prompt Engineering
gizmodo.com·

Alleged Fable sabotage of an ML project

 🧠Prompt Engineering
xcancel.com··Hacker News

Anthropic's Fable 5 Silent Sabotage Mode

 🧠Prompt Engineering

Week Links [1st June 2026]

 🧠Prompt Engineering
jackharrington.xyz·

Meshcore and Haiku: a Match Apparently Made in Italy

 🟢OpenAI
hackaday.com·
Less-relevant results

Meshy

 💻AI Coding Tools
flathub.org·

Adapting Prithvi-EO for Fallow Detection for Food-Water Nexus: ViT-Adapter Necks and Parameter-Efficient Backbone tuning of Geospatial Foundation Model

 👩‍💻AI Practitioners  Content type: Academic
arxiv.org·

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