Fine-tuning

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Scoured 235 posts in 11.6 ms

Mult-DPO: Multinomial Direct Preference Optimization for Recommender Systems

 🧠LLMs  Content type: Academic
arxiv.org·

AI Paper Review: Training Language Models to Follow Instructions with Human Feedback (InstructGPT)

 ✍️Prompt Engineering
freecodecamp.org·
Less-relevant results

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

 🌐Open Source AI

Deep Learning Weekly: Issue 458

 🤖AI Agents

ApodexAI/AgentHarness: Evaluation harness for Apodex-1.0 on public deep-research benchmarks.

 🌐Open Source AI  Content type: Code
github.com··Hacker News

NeuroBait: I fine-tuned a model to spark dopamine for ADHD brain

 🌐Open Source AI  Content type: Blog
huggingface.co·

Replicate vs Gemini API: An Honest Cost Breakdown of Photo Generation (Real Production Numbers)

 🏆SOTA Models  Content type: Blog
medium.com·

Introducing the Google Colab CLI

 🌐Open Source AI  Content type: Blog

Posting for authoring

 👨‍💻Coding Agents
turingpost.com·

Location: Göttingen, Germany Remote: Yes (preferred; hybrid also fine) Willing t...

 🧠LLMs  Content type: Discussion

NVIDIA Nemotron 3 Ultra Powers Faster, More Efficient Reasoning for Long-Running Agents

 Inference  Content type: Blog

A Unifying Lens on Supervised Fine-Tuning Through Target Distribution Design

 🧠LLMs  Content type: Academic
arxiv.org·

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

 🧠LLMs  Content type: Academic
biorxiv.org·

Introducing Granite Libraries and Project Granite Switch

 🧠LLMs  Content type: Blog

Latest technical articles & videos.

 🧠LLMs
certdepot.net·

Arcane style - Ideogram 4.0 LORA - Experimental

 🌐Open Source AI

fc2

 🧠LLMs
yog.ink·

Instruction Finetuning DeepSeek-R1-8B Model Using LoRA and NEFTune

 🧠LLMs  Content type: Academic
arxiv.org·

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

 🧠LLMs  Content type: Code
github.com··Hacker News

[AINews] Anthropic Claude Fable 5 — Mythos but Safe, with Controversial Terms

 👨‍💻Coding Agents  Content type: News
latent.space
·

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