🚀 Model Serving - micaleel · Scour

Dedicated vs Serverless Inference as You Scale 🔄Concurrency

digitalocean.com·1d

The Data Layer Tax for Robot Learning 🤖Machine Learning

rerun.io·6h·Hacker News

IT engineer by day, AI solutions founder by night — I was drowning in AI news so I built something to fix it 🛠️Feature Engineering

agent-builder-daily.vercel.app·20h·r/SideProject

DiP-SD: Distributed Pipelined Speculative Decoding for Efficient LLM Inference at the Edge 🔨LLVM

Scaling a Vespa Application: Feeding Fast and Furiously 📓Jupyter Notebooks

blog.vespa.ai·2d

Qwen3.6–35B-A3B: The Most Practical Open-Source AI Model Yet? 🛠️Feature Engineering

·9h

Durable queues, streams, pub/sub, and a cron scheduler 📦Parquet

honker.dev·4h·Hacker News

Announcing Together AI and Adaption Partnership 🛠️Feature Engineering

together.ai·19h

Nitrobrew: Fast, Lossless Distillation for Free 🧮Vector Databases

blog.tilderesearch.com·2d

The Most Complete Guide to PyTorch for Data Scientists 🧠Deep Learning

·3d

Geniatech AIM-M-K and AIM-B2 integrate Ara240 for local AI inference 🧮Vector Databases

How to build custom reasoning agents with a fraction of the compute 🤖Transformers

venturebeat.com·1d

Building Document Pipelines That Actually Scale 📦Parquet

render.com·48m

Google sells TPUs ⚡, Mistral Vibe agents 🤖, AI eval bottlenecks 📉 🛠️Feature Engineering

Building an AI-Powered Conference App with .NET’s Composable AI Stack 🛠️Feature Engineering

devblogs.microsoft.com·2h

Vibe Training - Auto Train a Small Language Model for Your Use Case 🤖Transformers

diamantai.substack.com·2d·Substack, r/LocalLLaMA

Vision agents vs. structured APIs on the same internal tool task 🛠️Feature Engineering

news.ycombinator.com·2h·Hacker News

Fine-Tuned LLMs on Serverless Architecture 🔨LLVM

digitalocean.com·3d

Why I'm Building a Local-First AI Coding Workspace (And How Behavioral Routing Makes It Work) 🛠️Feature Engineering

userada.dev·23h·DEV

On-Device LLM Challenges in Android Development with LiteRT-LM 🔨LLVM

woliveiras.com·2d·r/LLM

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