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AI Research Resources

From theoretical foundations to practice

Theoretical Resources

Why general artificial intelligence will not be realized
Larsen, 2020 Intermediate
5.0
A closer look reveals that although development of artificial intelligence for specific purposes (ANI) has been impressive, we have not come much closer to developing artificial general intelligence (AGI).
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Why Machines Will Never Rule the World
Landgrebe and Smith, 2022 Advanced
5.0
The book's core argument is that an artificial intelligence that could equal or exceed human intelligence-sometimes called artificial general intelligence (AGI)-is for mathematical reasons impossible.
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Sparks of Artificial General Intelligence: Early experiments with GPT-4
Microsoft Research, 2023 Advanced
5.0
Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition.
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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek, 2025 Advanced
5.0
DeepSeekR1 achieves performance comparable to OpenAI-o1-1217 on reasoning tasks through innovative reinforcement learning techniques.
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Practical Resources

The 70% problem: Hard truths about AI-assisted coding
Addy Osmani et al., 2024 Beginner
5.0
A field guide and why we need to rethink our expectations about AI-assisted coding productivity gains.
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AI Engineering: Building Applications with Foundation Models
Various Authors, 2025 Beginner
5.0
This book offers a comprehensive, well-structured guide to the essential aspects of building generative AI systems.
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A Comparative Review of AI Techniques for Automated Code Generation
Various Authors, 2024 Intermediate
5.0
Artificial Intelligence (AI), as one of the most important fields of computer science, plays a significant role in the software development life cycle process, especially in the implementation phase.
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Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
Denny et al., 2023 Intermediate
5.0
With their remarkable ability to generate code, large language models (LLMs) are a transformative technology for computing education practice.
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