The era of building "personalized AI" by training AI models on individual or corporate documents and data is beginning.
AMD's new EXPO Ultra Low Latency memory promises tighter timings without manual tuning. We tested G.Skill's latest DDR5 kits ...
Key Takeaways - To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...
Neural networks, a fascinating technology inspired by the human brain, form the basis of artificial intelligence. These ...
SolarWinds, a leading provider of simple, powerful, secure observability and IT management software, today introduced Database Performance Analyzer (DPA) for SAP HANA® Cloud, giving database teams a ...
Microsoft SQL Server has long been a cornerstone for data management across industries. With the release of SQL Server 2025, ...
25d
Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks
Real environments can't inject edge cases on demand. Alibaba's Qwen-AgentWorld simulates them — and outperformed ...
Abstract: Parameter-efficient fine-tuning for continual learning (PEFT-CL) has shown promise in adapting pre-trained models to sequential tasks while mitigating catastrophic forgetting problem.
To fully reproduce our experiments, please refer to ReproduceExps.md. To download our training data and reproduce the plots in the paper, please refer to ...
Abstract: Federated Learning (FL) is a decentralized machine learning (ML) approach where multiple clients collaboratively train a shared model over several update rounds without exchanging local data ...
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