📰 Reddit r/deeplearning

Articles from Reddit r/deeplearning · 29 articles · Updated every 3 hours · View all reads

All ⚡ AI Lessons (11216) ArXiv cs.AI Dev.to · FORUM WEB Dev.to AI Forbes Innovation OpenAI News Hugging Face Blog

How do you guys handle writing your essays?

Writing ssay is so hard for me. I’ve never been good at writing, and honestly, putting my thoughts together in a logical way is a nightmare. I’ve tried so many

Reddit r/deeplearning 9h ago

Introducing Code-Mixed Chain-of-Thought — Teaching Gemma 4 31B to reason bilingually cut thinking tokens by 40% [Mnemic Glorious 31B]

submitted by /u/superman_27 [link] [comments]

Reddit r/deeplearning 10h ago

Transformer regression model overfits on single sample but fails to further reduce loss on a 50-sample dataset

My task consists of forecasting number of upvotes for Reddit posts at time t after posting (how many hours t it was posted ago) based on text/title/time t, curr

Reddit r/deeplearning 10h ago

Built a Japanese ASR benchmark because existing ones can't measure quality differences properly

submitted by /u/holotherapper [link] [comments]

Reddit r/deeplearning 12h ago

Fastest training / fine-tuning framework

submitted by /u/deepnet101 [link] [comments]

Reddit r/deeplearning 12h ago

Is this really AI generated MUSIC VIDEO 🫨

submitted by /u/BeltVarious9958 [link] [comments]

Reddit r/deeplearning 12h ago

OpenAI acquired Hiro Finance 🔥

submitted by /u/adzamai [link] [comments]

Reddit r/deeplearning 13h ago

Help with a build: Training models on high-res images (2000x2500px)

Hi everyone, I’ve been tasked with putting together a PC build for my company to train neural networks. I’m not an expert in the field, so I could use some eyes

Reddit r/deeplearning 14h ago

“Found a very useful playlist for learning document classification with LayoutLMv3. Worth watching if you’re into OCR/document AI.”

submitted by /u/Imaginary_Step_6165 [link] [comments]

Reddit r/deeplearning 14h ago

https://www.youtube.com/watch?v=PW2wi1C-tM0

submitted by /u/Due_Pace_4325 [link] [comments]

Reddit r/deeplearning 15h ago

DinoDS isn’t “more scraped data.” It’s behavior engineering for LLMs.

I don’t think the interesting question anymore is “how much data did you scrape?” It’s: what exact model behavior did you engineer? That’s how we’ve been thinki

Reddit r/deeplearning 18h ago

Is this for REAL ?????

submitted by /u/BeltVarious9958 [link] [comments]

Reddit r/deeplearning 18h ago

Optimizers Explained Visually | SGD, Momentum, AdaGrad, RMSProp & Adam

Optimizers Explained Visually in under 4 minutes — SGD, Momentum, AdaGrad, RMSProp, and Adam all broken down with animated loss landscapes so you can see exactl

Reddit r/deeplearning 20h ago

kontext-brain: ontology-graph context retrieval that beats RAG on token efficiency (+54% reduction)

submitted by /u/FantasticSeaweed2342 [link] [comments]

Reddit r/deeplearning 20h ago

We built a pre-generation LLM guardrail that blocks prompt injection at the residual stream level, before the model outputs anything [Mistral 7B, 0% FP, 100% detection]

Most LLM monitors work like this: the model generates a response, you check if it’s bad, you log it. By the time you alert, the output already exists. We built

Reddit r/deeplearning 21h ago

ICML 2026 acceptance threshold vs. What we have seen in Neurips 2025 [D]

After the rebuttals our paper has a borderline average score of 3.75. I thought the odds weren't very bad (given what Copilot says) until I saw last year's neur

Reddit r/deeplearning 22h ago

MIRAS framework unifies Transformers, Mamba, RetNet, and Titans as four design choices over associative memory

submitted by /u/thisguy123123 [link] [comments]

Reddit r/deeplearning 1d ago

Trained a 125M LM from scratch instead of fine-tuning GPT-2 — releasing weights + SFT framework for others to build on

submitted by /u/Kill_Streak308 [link] [comments]

Reddit r/deeplearning 1d ago

👋Ti diamo il benvenuto su r/artificial_intellig - Per prima cosa, presentati e leggi le linee guida!

AI, INTELLIGENZA ARTIFICIALE, HARDWARE, AGENTI, INFERENZA, AUTOMAZIONI, N8N, SCHEDE TESLA, SCHEDE DI ACCELERAZIONE PER L'INTELLIGENZA ARTIFICIALE, RAM, QUANTIZZ

Reddit r/deeplearning 1d ago

[ Removed by Reddit ]

[ Removed by Reddit on account of violating the content policy . ] submitted by /u/abe_abou [link] [comments]

Reddit r/deeplearning 1d ago

I built a platform that turns anything u want to learn into a course!

Hey everyone, I've been a Coursera user for years and kept running into the same wall: every course is built for a generic learner. You get "Python 101" but it'

Reddit r/deeplearning 1d ago

Benchmarked Gemma 4 E2B: The 2B model beat every larger sibling on multi-turn (70%)

Tested Gemma 4 E2B across 10 enterprise task suites against Gemma 2 2B, Gemma 3 4B, Gemma 4 E4B, and Gemma 3 12B. Run locally on Apple Silicon. Overall ranking

Reddit r/deeplearning 1d ago

Created a dataset system for training real LLM behaviors (not just prompts)

Most LLM dataset discussions still revolve around size, coverage, or “high-quality text,” but in practice the real failure mode shows up later when you actually

Reddit r/deeplearning 1d ago

How VLAs Work - Mathematics for Engineers

submitted by /u/Nice-Dragonfly-4823 [link] [comments]