Tag Archives: Prompt engineering

25Nov/25

The value of thought. How human-AI collaboration is measured economically

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.

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01Jan/25

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.    Continue reading

29Apr/23

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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