From 7a113453acfd0721c971bae0b8e0065b69a5ca83 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9C=D0=B0=D1=80=D0=B0=D1=82=20=D0=A4=D0=B0=D0=B7=D1=8B?= =?UTF-8?q?=D0=BB=D0=BE=D0=B2?= Date: Tue, 12 May 2026 20:02:31 +0000 Subject: [PATCH] add README.md --- README.md | 41 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 41 insertions(+) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..cbf0591 --- /dev/null +++ b/README.md @@ -0,0 +1,41 @@ +# Personal AI Fluency Plan + +## Overview +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. + +## Goals +1. **Understand core concepts** of AI, machine learning, and large language models. +2. **Build practical skills** in data preprocessing, model training, and deployment. +3. **Develop critical thinking** about AI ethics, safety, and societal impact. +4. **Create a portfolio** of projects demonstrating end‑to‑end AI solutions. + +## Timeline (12 months) +| Month | Focus | Deliverable | +|-------|-------|-------------| +| 1‑2 | Foundations | Complete *AI Fluency Foundations* course; write a summary. | +| 3‑4 | Data & ML Basics | Build a simple regression model on a public dataset. | +| 5‑6 | NLP & LLMs | Fine‑tune a small transformer on a custom text corpus. | +| 7‑8 | Prompt Engineering | Design a prompt library for common tasks; document best practices. | +| 9‑10 | Deployment | Deploy a chatbot using LangChain and Streamlit. | +| 11 | Ethics & Safety | Write a short essay on AI safety principles. | +| 12 | Portfolio & Reflection | Publish a GitHub repo with all projects; reflect on learning. | + +## Resources +- **Courses**: AI Fluency Foundations, Coursera ML, Fast.ai NLP. +- **Tools**: Python, PyTorch, Hugging Face, LangChain, Streamlit. +- **Reading**: *The Alignment Problem*, *AI Ethics* by Bostrom. + +## Milestones +- **M1**: Course completion + summary. +- **M2**: Regression model + GitHub repo. +- **M3**: Fine‑tuned transformer + demo. +- **M4**: Prompt library + documentation. +- **M5**: Deployed chatbot. +- **M6**: Ethics essay + final portfolio. + +## Reflection +After each milestone, review progress, identify gaps, and adjust the next steps accordingly. + +--- + +*Prepared by: [Your Name]*