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Training Deep Learning Models on Ad Data [2025 Strategy]

dev.to·1d·

Discuss: DEV

🤖machine learning

Smart Job Finder AI Agent

dev.to·3h·

Discuss: DEV

🤖machine learning

Reinforcement Learning from Human Feedback

arxiv.org·23h

🤖machine learning

Layer-wise LoRA fine-tuning: a similarity metric approach

arxiv.org·2d

🤖machine learning

"I can lose myself for hours in a hypnotic trance": why we should all spend more time in archives

historyextra.com

·1d

🏛Cultural heritage

Escape The Algorithm

kill-the-newsletter.com·1d

🤖machine learning

Data-Oriented Programming for Java: Beyond Records

openjdk.org·2d

📋Cultural Data Standards

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‘It’s dedicated exclusively to female artists, from Frida Kahlo to Tracey Emin’: readers’ favourite unsung museums in Europe

theguardian.com·2d

🏛Cultural heritage

Nonlinear random walks on hypergraphs characterized by higher-order interactions

sciencedirect.com·22h

🤖machine learning

I struggled with system design until I learned these 114 concepts

newsletter.systemdesign.one

·1d

📋Cultural Data Standards

AI coding makes you worse at learning

pivot-to-ai.com·1d

🤖machine learning

Whether they are building agents or folding proteins, LLMs need a friend

theregister.com·23h

🤖machine learning

My Journey Learning Google ADK: Building AI Agents from Scratch

pub.towardsai.net

·1d

🤖machine learning

What Spectroscopy Was to the 1800s, Embeddings Are to Science Now

mnky9800n.substack.com·3d·

Discuss: Substack

🤖machine learning

Does "AI-Ready Data" simply mean "Good Data Modeling"?

motherduck.com·2d

🤖machine learning

The control layer for AI

blog.dottxt.ai·1d·

Discuss: Hacker News

🤖machine learning

creact-labs/creact: CReact is a meta-runtime for building domain-specific, reactive execution engines.

github.com·9h·

Discuss: r/node, r/reactjs

📋Cultural Data Standards

Real‑Time Counterparty Credit Risk Estimation with Streaming Bayesian Neural Networks and Explainable Variable Importance for Financial Institutions **Abstra...

freederia.com·1d

🤖machine learning

— ### Abstract Accurate prediction of protein–ligand binding affinities is a central bottleneck in early‑stage drug discovery. Classical machine‑learni...

freederia.com·1d

🤖machine learning

google/flatbuffers: FlatBuffers: Memory Efficient Serialization Library

github.com·1d

📋Cultural Data Standards

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