Problemsby GlyphFine-tuning is costly and results are unpredictable
12 posts from 12 people10d activeFading, +1 this week
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The posts behind it
...reads particularly human to me: > It is rare to get feedback that tells us exactly what is broken and how to fix it. AI doesn't remember from one conversation to another, so probably can't say how rare something like this is at Ocado (although admittedly it could learn that it's...
How do we actually open the ML “black box”? Training data attribution, interpretability, and pre- vs post-training
...Can we trace those changes back to particular data or training stages?. + Reliability: How do we distinguish explanations that sound convincing from explanations that genuinely reflect a model’s behaviour? 🤔. I’d also appreciate recommendations for papers, tutorials,...
...things you want to automate, but GPT-6-Luna is not strong enough, and bigger models are too expensive, you might fine-tune one of the LFM3 models and use it locally for repetitive tasks.
Moving to the US with 8 YOE in Fraud Risk (SCB) - seeking advices
...years of experience in fraud risk at Standard Chartered, and I’d like to get some honest advice on how to position myself for the US job market.. A quick summary of my background:. Payment Fraud & Mule Risk: Experience managing country-level payment fraud, designing processes to...
How can I make GitHub Copilot use descriptive names for session folders?
...session's topic or title so I can identify it in File Explorer without opening Copilot. How can I make GitHub Copilot use descriptive names for session folders?. https://preview.redd.it/6llcozwt8lxh1.png?width=2431&format=png&auto=webp&s=e92d652cc0a9f380e905ee50f566078e6fa9ac17 .
...can have huge implications on forecasting in domains where custom models are too hard or too expensive! I am somewhat sceptical and wonder if the big quant firms already have versions of this internally or if not, why no one has achieved these kinds of results until now.
Best way to accurately annotate 500 images for fine-tuning Meta DETR?[P]
...unsure which workflow would be most reliable for my specific use case.. I'd appreciate advice on the following: . What is the best annotation tool for labeling 500 images accurately and efficiently?. Would Grounding DINO or OWLv2 be suitable for generating initial annotations...
That’s because diffusion models struggle with memorizing sequences while it’s essentially what autoregressive models excel at. I’ve tried to fine tune a diffusion model to memorize an MD5 hash and after days of hacking on it, it failed to completely memorize it. Autoregressive...
[RFC]: Add Single-Process In-Memory Engine Mode for Low-Tier Sandbox Environments (Colab T4 / Jupyter)
...In sandboxed cloud environments or browser-based notebooks, these multi-process loops fail to synchronize cleanly due to restricted loop configurations, firewalled internal sockets, and Triton/CUDA graph compilation latency spikes on legacy hardware. #### **Why addressing this...
How can I fine-tune a model to learn a specific task by watching YouTube videos?
...And btw, once we've won your business, please run this model on our infra." But what I'm struggling to understand is fireworks spending a bunch of money (on salaries and compute) releasing a frontier model that is going to rapidly fall behind the frontier. Is this "just"...
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About this problem
Evidence
12 posts from 12 people in 6 places, about 2 a week over 38 days. Mostly on Hacker News comments, r/learnmachinelearning, vllm-project/vllm. Tools named alongside: Anthropic, OpenAI, YouTube, Jupyter.
Frustration Frustration 0 of 3· Seen on Hacker News, Reddit, GitHub issues
How it was grouped
Posts that state a pain and match the "fine-tuning" rule. First post Sep 27, 2026, latest Nov 3, 2026. Corroborated: 3 or more posts from 2 or more people or places. Method
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History