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The TechCrunch AI glossary | TechCrunch

Mar 02, 2025 - techcrunch.com
The article provides a glossary of key terms and concepts related to artificial intelligence (AI), aimed at helping readers understand the technical jargon often used in the field. It covers definitions for terms such as AI agent, chain of thought, deep learning, fine-tuning, large language model (LLM), neural network, and weights. Each entry explains the concept in the context of AI, highlighting their roles and significance in the development and functioning of AI systems. The glossary is intended to be regularly updated as the field evolves and new methods and risks are identified.

Additionally, the article includes brief biographies of Natasha Lomas and Romain Dillet, senior reporters at TechCrunch. Natasha has a background in business technology and journalism, while Romain is known for his expertise in technology startups and the European tech scene. Both have extensive experience in the tech industry and contribute to TechCrunch's coverage of Silicon Valley and global tech developments.

Key takeaways:

  • The glossary provides definitions for key terms in the artificial intelligence industry, such as AI agent, deep learning, and large language models.
  • AI agents are autonomous systems that perform multi-step tasks using multiple AI technologies.
  • Deep learning involves AI algorithms with multi-layered neural networks that can identify important data characteristics without human input.
  • Large language models are deep neural networks that process language by learning relationships between words and phrases from vast amounts of text data.
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