42 lines
1.8 KiB
Markdown
42 lines
1.8 KiB
Markdown
# Personal AI Fluency Plan
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## Overview
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This document outlines a structured plan to develop AI fluency over the next 12 months. The plan is based on the **AI Fluency Framework** from Anthropic and is tailored to a beginner‑to‑intermediate learner.
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## Goals
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1. **Understand core concepts** of AI, machine learning, and large language models.
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2. **Build practical skills** in data preprocessing, model training, and deployment.
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3. **Develop critical thinking** about AI ethics, safety, and societal impact.
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4. **Create a portfolio** of projects demonstrating end‑to‑end AI solutions.
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## Timeline (12 months)
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| Month | Focus | Deliverable |
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|-------|-------|-------------|
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| 1‑2 | Foundations | Complete *AI Fluency Foundations* course; write a summary. |
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| 3‑4 | Data & ML Basics | Build a simple regression model on a public dataset. |
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| 5‑6 | NLP & LLMs | Fine‑tune a small transformer on a custom text corpus. |
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| 7‑8 | Prompt Engineering | Design a prompt library for common tasks; document best practices. |
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| 9‑10 | Deployment | Deploy a chatbot using LangChain and Streamlit. |
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| 11 | Ethics & Safety | Write a short essay on AI safety principles. |
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| 12 | Portfolio & Reflection | Publish a GitHub repo with all projects; reflect on learning. |
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## Resources
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- **Courses**: AI Fluency Foundations, Coursera ML, Fast.ai NLP.
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- **Tools**: Python, PyTorch, Hugging Face, LangChain, Streamlit.
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- **Reading**: *The Alignment Problem*, *AI Ethics* by Bostrom.
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## Milestones
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- **M1**: Course completion + summary.
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- **M2**: Regression model + GitHub repo.
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- **M3**: Fine‑tuned transformer + demo.
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- **M4**: Prompt library + documentation.
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- **M5**: Deployed chatbot.
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- **M6**: Ethics essay + final portfolio.
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## Reflection
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After each milestone, review progress, identify gaps, and adjust the next steps accordingly.
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---
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*Prepared by: [Your Name]*
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