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The Imperative for Knowledge Grounding in Large Language Models The advent of Large Language Models (LLMs) has marked a revolutionary milestone in artificial intelligence, demonstrating remarkable capabilities in natural language understanding and generation.1 However, the very architecture that grants them their fluency also imposes fundamental limitations. These inherent constraints, namely the static nature of their […]

An LLM, or Large Language Model, is a type of artificial intelligence (AI) that is trained on vast amounts of text data to understand and generate human-like language. Think of it as a highly advanced autocomplete system that can predict the next word in a sentence with incredible accuracy, enabling it to perform a wide

In the context of AI and generative models like Gemini, temperature is a key parameter that controls the randomness and creativity of the model’s output. Think of it as a “creativity dial” that ranges from predictable and focused to surprising and random. The Simple Analogy: A Creativity Dial Imagine you ask the AI to complete

2021년 3월 12일 데릭 화이트 Google Cloud 글로벌 금융 서비스 산업 솔루션 부사장 은행은 지구상에서 가장 엄격한 규제를 받는 기업 중 하나이며, 지리적 위치뿐 아니라 자체 내부 정책 및 절차에 따른 규제를 받습니다. 기업 및 개인 금융 분야의 글로벌 대기업인 HSBC는 전 세계에 전문가를 두고 있으며, 수천 명의 위험 관리 담당자들이 내부 정책 관련 질문에

I. Foundational Prompting These are the simplest and most commonly used prompt styles. 1. Zero-shot Prompting What it is: Ask the model to perform a task with just instructions, no examples. Example Prompt: Classify the sentiment of this review:“This movie was visually stunning but lacked depth.” Expected Output: Neutral Use Case: Quick classification, summarization, or