Oluwatosin Joy Adetunji

Day19,30-Days learning challenge.
The core components of automation include trigger, action and ex*****on.
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Day18, 30-Days learning challenge.
Guardrails in prompt, engineering are like rules, or safety boundaries.That keep on AI models, responses accurate,safe,and they help control what AI can and cannot say or do.
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Day17, 30-Days learning challenge.
Data relationship, describe how information in one system or table connects, to information in another.The logical links,that give data meaning and context.
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Day16, 30-Days learning challenge.
API (Application programming interface): Mechanism, that enables two software components, to communicate with each other using, a set of definition and protocols.
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Day15, 30-Days learning challenge.
Generative AI: Systems (like ChatGPT or Anthropic's Claude) that generate new content, including text, computer code,and images based on the patterns they were trained on.
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Day14, 30-Days learning challenge.
Natural language processing (NLP): Technology, that allows computers to understand, interpret and respond to human language.Voice assistants,like Alexa and Siri utilize this.
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Day13, 30-Days learning challenge.
Machine learning(ML):A sunset of AL, where computer analyze, structured data to 'learn' patterns and make predictions without being explicity programmed for every single scenario.
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Day12 ,30-Days learning challenge.
Deep learning,is a more advanced form of ML that uses multi -layered artificial neutral networks( inspired by the human brain)to process highly complex data,such as images,audio and human language.
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Day 11,30-Days learning challenge.
Prompt engineering,is the practice of designing and refining prompts, to guide AI models, towards producing accurate relevant, and useful outputs.
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Day 10, 30-Days, learning challenge.
AI and automation are deeply, woven into our everyday lives and business operations, often working behind, the scenes to save time, increase accuracy,and enhance productivity.
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