🚀 Model Serving - micaleel · Scour

Structured Generation for Tool Calling 🐹Go

blog.dottxt.ai·20h

Deep Learning Weekly: Issue 453 🛠️Feature Engineering

deeplearningweekly.com·5h

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

venturebeat.com·1d

Introducing DigitalOcean AI-Native Cloud for Production AI Workloads 🧠Deep Learning

news.radio-t.com·23h

RNN to Transformer NMT: PyTorch Migration with 2.8x BLEU Gain 🤖Transformers

tildalice.io·6d

Enhanced fracture network permeability prediction using attention mechanism and Kolmogorov-Arnold Networks with SHAP interpretability analysis 🤖Machine Learning

sciencedirect.com·15m

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

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

Maybe I was too harsh on deep learning theory (three days ago) 🤖Machine Learning

lesswrong.com·13h

When The Recipe Gets In The Way 🛠️Feature Engineering

interestingengineering.substack.com·2h·Substack

How the Next Generation of AI Models are Going to Completely Change AI Inference 🧠Deep Learning

artificialintelligencemadesimple.com·1d

🥇Top AI Papers of the Week 🛠️Feature Engineering

nlp.elvissaravia.com·4d

AI Agent Analytics with Vercel & MotherDuck 🦆DuckDB

motherduck.com·11h

Running Diffusion Models at Scale on AKS 📦Parquet

techcommunity.microsoft.com·15h

A deep dive on AI model distillation attacks 🛠️Feature Engineering

MauroCE/m3serve: Optimised BAAI/bge-m3 serving with dense + sparse + ColBERT embeddings, async dynamic batching and pipeline GPU inference 📦Parquet

github.com·3d·r/SideProject

Convex hull models 🧮Vector Databases

yetanothermathprogrammingconsultant.blogspot.com·10h

Building an RL Theorem-Proving Workflow on Modal 🛠️Feature Engineering

I've been running some of the biggest open-weight LLMs for free on Nvidia's cloud 🛠️Feature Engineering

xda-developers.com·10h

Fourth Data Prefetching Championship: Part 2 📦Parquet

sigarch.org·1d

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