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  2. Research proposal - Wikipedia

    en.wikipedia.org/wiki/Research_proposal

    A research proposal is a document proposing a research project, generally in the sciences or academia, and generally constitutes a request for sponsorship of that research. [1] Proposals are evaluated on the cost and potential impact of the proposed research, and on the soundness of the proposed plan for carrying it out. [ 2 ]

  3. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is the process of structuring or crafting an instruction in order to produce the best possible output from a generative artificial intelligence (AI) model. [ 1 ] A prompt is natural language text describing the task that an AI should perform. [ 2 ]

  4. Proposal software - Wikipedia

    en.wikipedia.org/wiki/Proposal_software

    The core features of proposal management software vary widely between systems. Many simpler programs have only basic features, while others, especially enterprise systems, are more complex and powerful. Proposal management software is a set of automated processes that may support the following features. [4]

  5. Artificial intelligence engineering - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Artificial intelligence engineering (AI engineering) is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions.

  6. AI was everywhere in 2024. Here are the biggest stories of ...

    www.aol.com/news/ai-everywhere-2024-biggest...

    The AI model solved 64% of coding problems in internal testing, according to Anthropic, the AI safety and research company behind Claude. The system could write new code and update old programs ...

  7. Symbolic artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Symbolic_artificial...

    System 2 is slower, step-by-step, and explicit. System 1 is the kind used for pattern recognition while System 2 is far better suited for planning, deduction, and deliberative thinking. In this view, deep learning best models the first kind of thinking while symbolic reasoning best models the second kind and both are needed.

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