The TechCrunch AI glossary is a comprehensive resource that explains key terms and concepts in the artificial intelligence industry. This glossary is essential for understanding the complex world of AI, where scientists and experts often use technical jargon and lingo to describe their work.
The glossary covers a wide range of topics, including Generative AI, which refers to AI systems that can generate new content, such as text, images, and videos, in response to user prompts. Other key terms include Large Language Models, which are AI systems designed to understand and generate human language on a large scale, and Few-shot learning, which refers to the ability of AI models to learn and make accurate predictions based on a limited amount of training data.
The glossary also explains important concepts, such as Bias, which can refer to systemic skew or prejudice in AI models, and Hallucinations, which are incorrect or misleading results generated by AI models. Additionally, the glossary covers technical terms, such as Embeddings, which are vector representations of words or phrases in a high-dimensional space, and Inference, which is the process of applying trained AI models to new, unseen data.
