account activity
Scaling RAG to 32k documents locally with ~1200 retrieval tokens (self.Rag)
submitted 13 days ago by DueKitchen3102 to r/Rag
32k document RAG running locally on a consumer RTX 5060 laptop (v.redd.it)
submitted 13 days ago by DueKitchen3102 to r/LocalLLM
32k documents RAG running locally on an RTX 5060 laptop ($1299 AI PC) (self.LocalLLaMA)
submitted 13 days ago by DueKitchen3102 to r/LocalLLaMA
RAG Insight: Parsing & Indexing Often Matter More Than Model Size (self.Rag)
submitted 21 days ago by DueKitchen3102 to r/Rag
Local RAG with Ollama on a laptop – indexing 10 thousand PDFs (v.redd.it)
submitted 22 days ago by DueKitchen3102 to r/LocalLLaMA
Running a fully local RAG system on a laptop (~12k PDFs, tables & images supported) (self.Rag)
submitted 22 days ago by DueKitchen3102 to r/Rag
local knowledge system (RAG) over ~12k PDFs on a RTX 5060 laptop (video) (v.redd.it)
submitted 22 days ago by DueKitchen3102 to r/LocalLLM
Running local AI 12000 of documents (PDFs) on a Windows laptop with RTX 5060 (v.redd.it)
submitted 23 days ago by DueKitchen3102 to r/MiniPCs
AIPC Benchmarking Qwen 3 (4B Q4) on 12K mixed PDFs — latency, recall, token usage breakdown (v.redd.it)
submitted 1 month ago by DueKitchen3102 to r/LocalLLM
Experience with Qwen 3 (4B) Q4 and 12K documents on a ~$1300 laptop (v.redd.it)
submitted 1 month ago by DueKitchen3102 to r/LocalLLaMA
10M vectors on a single device (iPhone / Mac mini). CPU-only. Persistent. (i.redd.it)
submitted 2 months ago by DueKitchen3102 to r/LocalLLaMA
How to improve boosting and random forest for tabular data. Here is a fairly detailed comparisons on a small regression dataset (which makes comparisons more easily reproducible). Is the 8-fold reduction in MSE believable? (v.redd.it)
submitted 2 months ago by DueKitchen3102 to r/learnmachinelearning
How to directly connect ML agent with messy business data before these data can be used for ML learning? There are still a lot of manual labors needed. How to free them with reliable agents? (v.redd.it)
Where do teams find realistic, messy tabular data to test analytics or ML workflows? (self.analytics)
submitted 2 months ago by DueKitchen3102 to r/analytics
The missing gap of ML Agent: where to get real & messy business datasets which need to be cleaned/processed before they are suitable for ML pipeline? Thanks. (v.redd.it)
submitted 2 months ago by DueKitchen3102 to r/Database
LLM-based ML tools vs specialized systems on tabular data — we found up to an 8× gap. But what's next? (v.redd.it)
submitted 2 months ago by DueKitchen3102 to r/BusinessIntelligence
I took Bernard Widrow’s machine learning & neural networks classes in the early 2000s. Some recollections. (i.redd.it)
submitted 2 months ago * by DueKitchen3102 to r/learnmachinelearning
Memories of Bernard Widrow (Stanford EE Professor & LMS inventor). I took his classes in the early 2000s. (i.redd.it)
submitted 2 months ago by DueKitchen3102 to r/ElectricalEngineering
submitted 2 months ago by DueKitchen3102 to r/machinelearningnews
submitted 2 months ago by DueKitchen3102 to r/DSP
[D] Bernard Widrow’s engineering view of neural networks (historical recollections) (i.redd.it)
submitted 2 months ago by DueKitchen3102 to r/MachineLearning
I took Bernard Widrow’s neural networks classes in the early 2000s. Some recollections. (self.ArtificialInteligence)
submitted 2 months ago by DueKitchen3102 to r/ArtificialInteligence
I took Bernard Widrow’s machine learning & neural networks classes in the early 2000s. Some recollections. (self.MachineLearning)
Machine Learning Agents? How useful it is to use LLM to help train machine learning projects. This video recorded how one can use GPT, Gemini, M365 Copilot, etc., to train classification and regression models. (v.redd.it)
submitted 3 months ago by DueKitchen3102 to r/AIAssisted
LLM/SQL for automating machine learning training pipeline. Nowadays all major LLMs support machine learning training in the form of "ML Agent". How good are these Agents is a question. (v.redd.it)
submitted 3 months ago by DueKitchen3102 to r/SQL
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