Agentic AI in Action — Part 23 — Snowflake Semantic Views: Where AI Agents Earn Enterprise Trust
AI 摘要：Agentic AI in Action — Part 23 — Snowflake Semantic Vi...
Unified RAG Evaluation Schema: Cross-Supplier Quality Measurement for Amazon Bedrock and Agentic…
AI 摘要：Unified RAG Evaluation Schema: Cross-Supplier Quality ...
[AINews] not much happened today
这是Latent Space于2026年6月30日发布的AI行业短讯，来自指定资讯平台，当日行业整体处于“风暴前的平静”...
I Tested Ollama vs LM Studio on the Same Mac — One Quietly Doubled Its Speed
AI 摘要：For three years the smartest answer to “Ollama ...
Why Your AI Agent Keeps Failing: The Memory Problem No One Talks About
AI 摘要：Your agent isn’t dumb. It’s forgetful. A...
I Taught My AI to Read Runbooks to Stop Guessing Incident Fixes
AI 摘要：I Taught My AI to Read Runbooks to Stop Guessing Incid...
Unlocking Britain’s next era of productivity: Building a nation of AI trailblazers
AI 摘要：Google UK shares its latest Economic Impact Report and...
Why Definitions Need Events — and How to Build a New Kind of Dictionary from Wikipedia Using LLMs
本文探讨了传统词典仅解释词汇基础含义、缺少事件关联背景的局限，提出借助大语言模型结合维基百科数据构建新型事件关联词典的方...
Why Your LLM Is Slow — KV Cache, Batching, and Quantization
AI 摘要：The hidden bottlenecks behind every LLM, and how moder...
The Context Engineering Playbook: Why Prompt Engineering Is Dead
AI 摘要：On June 25, 2025, Andrej Karpathy killed prompt engine...