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Java Tech Enthusiast

Mar 8, 2025 · Artificial Intelligence

QwQ-32B Large Language Model Overview and Performance

Alibaba’s new QwQ‑32B large‑language model, with 32 billion parameters, delivers performance comparable to or surpassing the 671‑billion‑parameter DeepSeek‑R1 across math, coding, and general benchmarks, and is available via HuggingFace, ModelScope, and a DashScope API demo with example Python code.

AI BenchmarkLarge Language ModelParameter Scaling

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QwQ-32B Large Language Model Overview and Performance

DataFunTalk

Nov 9, 2022 · Artificial Intelligence

Design and Usage of Flink ML Java and Python APIs, Ecosystem Construction, and Future Directions

This article introduces the Flink Machine Learning Library, detailing the design and usage of its Java and Python APIs, core interfaces such as WithParams, Stage, Estimator, and AlgoOperator, workflow for training and inference, pipeline/graph construction, ecosystem initiatives, and upcoming development plans.

AIFlinkJava API

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Design and Usage of Flink ML Java and Python APIs, Ecosystem Construction, and Future Directions