applications

MLVC: Multi-platform Learned Video Codec for Real-World Deployment [P]

I've always found it a little strange that AI is everywhere, but the codecs we use in practice are the traditional hand-engineered systems like h.264, h.265, av1. Alexnet started the wave of neural ne

30 Jul 2026

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Applications

Who has set up ChatGPT Finance?

DGX agent

It’s been out for Plus members for a little while now. Has anyone here connected it to their accounts? I myself haven’t done it, even though it’s only read access I’m seriously hesitant to hand over t

applicationsr-chatgpt

24 Jul 2026

Quantization and Fast Inference (MEAP) - How much performance are you actually getting from quantization in production? [D]

This discussion examines the practical performance gains of quantization techniques when deployed in production environments, particularly addressing whether theoretical speedups translate to real-wor

7 May 2026

What are people using for low-latency autocomplete in production? [P]

Production low-latency autocomplete implementations employ diverse strategies including inference server optimization (tools like vLLM, llama.cpp, NVIDIA Triton), deployment choices (cloud APIs, on-pr

29 Apr 2026

LTX just dropped an HDR IC-LoRA beta: EXR output, built for production pipelines

applicationsr-stablediffusion

LTX released an HDR IC-LoRA beta that enables precise control over video generation by transferring structure and motion from reference videos, supporting features like EXR output for professional wor

23 Apr 2026

Why production systems keep making “correct” decisions that are no longer right [D]

Production machine learning systems can experience performance degradation where predictions appear reasonable and metrics don't change immediately, yet decision quality decays over time in ways diffi

19 Apr 2026

20M+ Indian legal documents with citation graphs and vector embeddings – potential uses for legal NLP? [D]

A r/MachineLearning discussion thread exploring the potential NLP applications of a large-scale dataset comprising over 20 million Indian legal documents, enriched with citation graphs and pre-compute

14 Apr 2026

We wrote a build-from-scratch Python book on the 98% of production AI systems that isn't the model call [P]

This Reddit post from r/MachineLearning announces a build-from-scratch Python book focused on the engineering infrastructure surrounding AI systems — the components beyond the model call itself, such

13 Apr 2026

Deploying my vibe-coded app on production