Artificial intelligence is rapidly transforming our world, and in doing so, it has developed an entirely new lexicon to articulate its advancements. Even brief exposure to AI discussions often introduces acronyms like LLMs, RAG, RLHF, and numerous other technical terms that can leave even seasoned tech professionals feeling uncertain. This glossary serves as an ongoing effort to demystify these concepts. We commit to regular updates as the field progresses, positioning it as a dynamic resource, mirroring the evolving AI systems it elucidates.
Artificial General Intelligence, or AGI, remains an elusive concept. Broadly, it denotes AI systems possessing capabilities that surpass an average human across a significant, if not most, range of tasks. Sam Altman, CEO of OpenAI, once characterized AGI as the “equivalent of a median human that you could hire as a co-worker.” Complementing this, OpenAI’s official charter defines AGI as “highly autonomous systems that outperform humans at most economically valuable work.” Google DeepMind, however, offers a subtly distinct perspective, viewing AGI as “AI that’s at least as capable as humans at most cognitive tasks.” If these distinctions seem perplexing, rest assured, even leading experts in AI research share this sentiment.
An AI agent describes a sophisticated tool leveraging AI technologies to execute a sequence of tasks autonomously on your behalf, extending beyond the functionalities of a standard AI chatbot. Examples include managing expenses, securing reservations for travel or dining, or even the intricate process of writing and maintaining code. Nevertheless, as previously highlighted, this nascent domain is characterized by considerable
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