AI and LLM Glossary: Understanding Key Tech Terms from Tokens to Orchestration
| Source: Dev.to | Original article
AI and LLM engineering has amassed a complex terminology. A new glossary explains key terms.
The field of AI and Large Language Models (LLMs) has rapidly accumulated a vast array of technical terms, making it challenging for newcomers to grasp the concepts. A comprehensive glossary of key terms has been compiled to address this issue, covering over 200 AI concepts, including tokens, embeddings, transformers, and fine-tuning.
This glossary matters because it provides a unified reference guide for developers, researchers, and enthusiasts navigating the complex landscape of AI and LLMs. By standardizing the terminology, it facilitates clearer communication and collaboration among professionals, ultimately driving innovation and progress in the field.
As the AI and LLM landscape continues to evolve, it is essential to monitor updates to this glossary and stay informed about new terms and concepts. The community-driven approach to maintaining this reference guide ensures that it remains a valuable resource for anyone involved in AI development, research, or education, providing a foundation for further exploration and discovery in this rapidly advancing field.
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