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A Coding Implementation on Qwen 3.6-35B-A3B Covering Multimodal Inference, Thinking Control, Tool Calling, MoE Routing, RAG, and Session Persistence
class QwenChat: def __init__(self, model, processor, system=None, tools=None): self.model, self.processor = model, processor self.tokenizer = processor.tokenizer self.history: list = [] if system: self.history.append({"role": "system", "content":…
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What Do Your Logits Know? (The Answer May Surprise You!)
Recent work has shown that probing model internals can reveal a wealth…
From Risk to Asset: Designing a Practical Data Strategy That Actually Works
Most data platforms don’t fail with a big bangthey slowly degrade and…
What Does the p-value Even Mean?
a second: as a data scientist, you’ve been through this scenario (chances…
Context Payload Optimization for ICL-Based Tabular Foundation Models
past couple of years have seen a surge of investment in open‑source…
OpenAI Scales Trusted Access for Cyber Defense With GPT-5.4-Cyber: a Fine-Tuned Model Built for Verified Security Defenders
Cybersecurity has always had a dual-use problem: the same technical knowledge that…
Moonshot AI and Tsinghua Researchers Propose PrfaaS: A Cross-Datacenter KVCache Architecture that Rethinks How LLMs are Served at Scale
For years, the way large language models handle inference has been stuck…
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