This touches on how large language models (LLMs) operate! tokenization is the fundamental process in natural language processing (NLP) of breaking down raw text into smaller units called tokens, such as words, subwords, or characters. This is a crucial first step that transforms unstructured text into a structured format that machine learning models can process.
Tag Archives: Prompt engineering
NotebookLM: Features and Use Cases
Jan. 01, 2024 /Mpelembe Media/ — NotebookLM is an experimental tool by Google that helps you understand and work with information from your notes and documents. It uses AI to summarize, answer questions, and generate new insights from your content.
The art of crafting and building keywords in an “AI Prompt” effectively
Generating high-quality content for businesses, websites, and other uses is critical. However, creating engaging and effective content is a time-consuming and challenging task to accomplish. The use of keywords in Artificial Intelligence prompting (AI Prompting) has the potential to improve productivity and creativity by assisting in the content authoring or generation process.
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