Technology & The Future

OSINT 101 Handbook: Expert-Level Intelligence Gathering

OSINT 101 Handbook: Expert-Level Intelligence Gathering

Rob Botwright

3956 人今日阅读|推荐值 82.7%
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ChatGPT Prompts Book: Precision Prompts, Role Prompting, Training & AI Writing Techniques for Mortals

ChatGPT Prompts Book: Precision Prompts, Role Prompting, Training & AI Writing Techniques for Mortals

Oliver Theobald

1555 人今日阅读|推荐值 90.7%
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Principles of Building AI Agents

Principles of Building AI Agents

Sam Bhagwat

1810 人今日阅读|推荐值 83.1%
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我看见的世界

我看见的世界

[美] 李飞飞

4461 人今日阅读|推荐值 98.4%
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Refactoring UI

Refactoring UI

Steve Schoger, Adam Wathan

1993 人今日阅读|推荐值 98.9%
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Practical Binary Analysis

Practical Binary Analysis

Dennis Andriesse

5828 人今日阅读|推荐值 95.0%
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AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference

AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference

Arvind Narayanan

From two of TIME's 100 Most Influential People in AI, what you need to know about AI—and how to defend yourself against bogus AI claims and productsConfused about AI and worried about what it means for your future and the future of the world? You're not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works and why it often doesn't, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don't work, and probably never will.While acknowledging the potential of some AI, such as ChatGPT, AI Snake Oil uncovers rampant misleading claims about the capabilities of AI and describes the serious harms AI is already causing in how it's being built,...

5194 人今日阅读|推荐值 93.5%
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AIGC:智能创作时代

AIGC:智能创作时代

admin

3351 人今日阅读|推荐值 88.0%
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Hands-On Large Language Models

Hands-On Large Language Models

Jay Alammar

5911 人今日阅读|推荐值 80.4%
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数据仓库工具箱:维度建模的完全指南(第二版)

数据仓库工具箱:维度建模的完全指南(第二版)

Ralph Kimball, Margy Ross

5446 人今日阅读|推荐值 83.8%
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