AI's Secret Language: Deciphering Tech Jargon

The fast-paced development of artificial intelligence has created a specialized lexicon, often making it challenging to follow industry discussions. This resource provides clear, plain-English definitions for commonly encountered AI terms, including LLMs, RAG, and RLHF. Its goal is to equip readers with an understanding of these concepts, whether they are involved in building AI, investing in it, or simply seeking to stay informed.

The glossary explores various definitions of Artificial General Intelligence (AGI), noting the differing perspectives from OpenAI and Google DeepMind. It further explains AI agents, which perform tasks autonomously, and API endpoints, the interfaces that enable software integration. Foundational AI technologies such as deep learning, a subset of machine learning inspired by neural networks, are also detailed.

Additional terms covered include 'chain of thought' for breaking down complex problems, 'coding agents' for autonomous software development, and 'compute' representing the necessary computational power. The article also touches upon 'diffusion' for generative models and 'distillation' for knowledge extraction between models.

Concepts like 'fine-tuning' for specialized AI tasks, 'GANs' for realistic data generation, and 'hallucination' (AI fabricating information) are defined. The article distinguishes between 'training' and 'inference', the processes of developing and running AI models. Finally, it examines 'tokens' as the basic units of AI communication and 'token throughput' as a measure of processing capacity.