llm

an archive of posts with this tag

Aug 9, 2026 Interview Bank III · Discussion + BQ: think aloud, decide, defend
Aug 9, 2026 面试题库 III · Discussion + BQ:把判断讲出来、做选择、经得住追问(中文版)
Aug 9, 2026 Interview Bank II · Coding + Math: write it, do not read it
Aug 9, 2026 面试题库 II · Coding + Math:要写,不要只读(中文版)
Aug 9, 2026 Interview Bank I · Knowledge: LLM and ML foundations
Aug 9, 2026 面试题库 I · Knowledge:LLM 与 ML 基础复习(中文版)
Aug 9, 2026 Three Gates and Seven Buckets: What Frontier Labs Actually Test
Aug 9, 2026 Three Gates and Seven Buckets: What Frontier Labs Actually Test (中文版)
Jul 25, 2026 Where Training Data Comes From: Synthesis, Verification, and Distillation Across the Training Stack
Jul 25, 2026 Where Training Data Comes From: Synthesis, Verification, and Distillation Across the Training Stack (中文版)
Jul 25, 2026 Time Is the New Scaling Axis: Notes from OpenAI's ICML 2026 Q&A
Jul 25, 2026 Time Is the New Scaling Axis: Notes from OpenAI's ICML 2026 Q&A (中文版)
Jul 25, 2026 Continual Learning for Next-Generation Agents
Jul 25, 2026 Continual Learning for Next-Generation Agents (中文版)
Jun 28, 2026 Self-Evolving Agentic Harnesses
Jun 28, 2026 Self-Evolving Agentic Harnesses (中文版)
Jun 27, 2026 How Frontier Labs Train Large Language Models
Jun 27, 2026 How Frontier Labs Train Large Language Models (中文版)
Jun 27, 2026 Calibrating Long-Horizon Agents: Confidence and Uncertainty at Inference Time
Jun 10, 2026 Environment Scaling for Agentic RL
Jun 10, 2026 Environment Scaling for Agentic RL (中文版)
Oct 24, 2025 Towards Trustworthy Enterprise Deep Research
Nov 8, 2024 Enhancing LLMs with Synthetic Knowledge Ingestion
Dec 14, 2023 Cost-Effective Fine-Tuning of Language Models
Dec 13, 2023 SAC³: Reliable Hallucination Detection in Black-Box LLMs