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DLC518066: AGI Fundamentals for Business

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  1. Lesson 1: The Context
    7 Topics
  2. Lesson 2: AGI Tools
    6 Topics
  3. Lesson 3: Tips That Teach Us
    6 Topics
  4. Lesson 4: AI in The Organization - Potential and Case Studies
    7 Topics
  5. Lesson 5: Diving Deeper
    7 Topics
  6. Lesson 6: Updates
    6 Topics
  7. Setting a Test and Receiving a Certificate
    3 Topics
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    1 Quiz
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An AI glossary by Andreessen Horowitz (AKA a16z), serves as a reference guide for understanding the terminology, concepts, and jargon used in AI research, development, and applications. This is a collection of terms and definitions related to the field of artificial intelligence (AI). It includes a wide range of terms that cover various subfields and aspects of Artificial Intelligence, such as machine learning, natural language processing, computational resources, technological terms, and cultural related definitions such as biases and regulation.

For example: 

  • Agents – Software that can perform certain tasks independently and proactively without the need for human intervention
  • AGI (Artificial General Intelligence) – Microsoft researchers have defined AGI as artificial intelligence that is as capable as a human at any intellectual task.
  • Bias – Assumptions made by an AI model about the data
  • Chain of Thought -A term used to describe the sequence of reasoning steps an AI model uses to arrive at a decision.
  • End-to-End Learning – A type of machine learning model that does not require hand-engineered features
  • Explainable AI (XAI) – A subfield of AI focused on creating transparent models that provide clear and understandable explanations of their decisions.
  • And many more.