fine

20 stories and discussions about fine, aggregated from every source we track.

1.

Fine-tunes of Qwen3.5 and Gemma 4 for zero-shot classification - firelex/jeff

569 points•firelex•2 days ago•222 comments•
3.
22 points•luu•8 days ago•3 comments•
5.

Betterbird. Simply better. A soft fork of Mozilla Thunderbird

17 points•sanxiyn•about 4 years ago•8 comments
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10 points•kooldeep7•8 days ago•14 comments•
7.

Everyone repeats that QR codes survive 30% damage. I measured it: a solid patch over 15% still scanned 99 times in 100, scattered speckle killed every level by 5%, and half a timing row - 0.7% of the modules - was fatal.

7 points•remdore•9 days ago•2 comments
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6 points•rdmuser•5 days ago•0 comments•
9.

Open-source contrastive embedding stack for mapping technical CVE disclosures to cybersecurity compliance controls (NIST SP 800-53 / CMMC) - applied-inference-lab/autormf-ml-lab

2 points•jpusateri•6 days ago•0 comments•
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2 points•manlymuppet•9 days ago•0 comments•
11.

The penalty follows an inquiry launched into the tech giant six years ago, following complaints from several European consumer rights organisations.

2 points•philbo•9 days ago•0 comments•
12.

A lot of prior work addressed key-value (KV) cache selection and compression by sparse attention to enable long-context inference for transformer language models without excessive hardware budgets. We provide a new…

1 points•theanonymousone•1 day ago•0 comments•
13.

On real multi-year Comcast support traffic, a fine-tuned verifier's gray-zone positive rate drifted 5x and the model went from helping to actively hurting. Here's the failure, and the three-detector monitor we built…

1 points•ChengyouXin•2 days ago•0 comments•
14.

Contribute to Hantlowt/laya-studio development by creating an account on GitHub.

1 points•Hantlowt•5 days ago•0 comments•
15.

Empirical notes on fine-tuning π0.5 for a real manufacturing task: training duration, LoRA vs full fine-tuning, batch size, data quantity and quality, and how much your evaluation can actually resolve.

1 points•mplappert•6 days ago•0 comments•
16.

A tiny local Jev-shaped decision model fine-tuned on 10,003 Banking77 messages, with code and evidence.

1 points•shmc•6 days ago•0 comments•
18.

Empirical notes on fine-tuning π0.5 for a real manufacturing task: training duration, LoRA vs full fine-tuning, batch size, data quantity and quality, and how much your evaluation can actually resolve.

1 points•dopaul•7 days ago•0 comments•
19.
1 points•idbnstra•7 days ago•0 comments•
20.
1 points•AaravGaur•10 days ago•0 comments•

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