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[D] Building a demand forecasting system for multi-location retail with no POS i

BACKGROUND
1 SIGNALFIRST DETECTED 27 March 2026
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13 May
Most RAG apps in production are confidently wrong and nobody talks about this enough

<!-- SC_OFF --><div class="md"><p>Been working with a few teams integrating RAG into internal tools, support bots, document Q&amp;A, contract search, and I keep running into the

OPINION · WHEN · ArtificialInteligenceOPEN STORY
27 Apr
Building an operational tool for heavy industry — Seeking "real world" data and site reality [R]

<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I’m part of a small team currently in the R&amp;D phase of building a new tool for industrial operations (specifically

OPINION · WHO · MachineLearningOPEN STORY
19 Oct
TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x9n3qv/tempopfn_synthetic_pretraining_of_linear_rnns_for/"> <img alt="TempoPFN: Synthetic Pre-training of

OPINION · WHAT · LocalLLaMAOPEN STORY
27 Mar
Anyone building fully on-prem document AI pipelines (OCR + RAG + no cloud)?

<!-- SC_OFF --><div class="md"><p>I’ve been exploring how to build a fully on-prem document AI pipeline for handling confidential data — no cloud APIs, no external processing.</p>

OPINION · HOW · LocalLLaMAOPEN STORY
27 Apr
Associative memory system for LLMs that learns during inference [P]

<!-- SC_OFF --><div class="md"><p>I've been working on MDA (Modular Dynamic Architecture), an online associative memory system for LLMs. Here's what I learned building it.</p>

OPINION · WHAT · MachineLearningOPEN STORY
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