LLM priming is a technique used to guide the output of Large Language Models (LLMs) by providing them with a set of instructions, examples, or context before generating text. By carefully crafting the priming text, developers can steer the LLM to produce content that aligns with the desired style, tone, or subject matter. Effective priming helps to improve the quality, relevance, and consistency of the generated text in various applications, such as chatbots, content creation tools, and AI-assisted writing platforms. Priming is a crucial aspect of working with LLMs in the field of Generative AI, as it enables users to harness the power of these models while maintaining control over the output.
The LLM Knowledge Base is a collection of bite-sized explanations for commonly used terms and abbreviations related to Large Language Models and Generative AI.
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