1️⃣ *AI learns from data, not instructions.*
– It identifies patterns rather than following fixed rules.
2️⃣ *Deep learning mimics the human brain’s neural networks.*
– Layers of algorithms process information like neurons.
3️⃣ *AI is already everywhere.*
– From recommendations on Netflix to voice assistants like Alexa.
4️⃣ *Bias in AI comes from training data.*
– If data is biased, AI results can be too.
5️⃣ *Explainable AI helps us understand AI decisions.*
– Important for trust and transparency.
6️⃣ *AI can generate human-like text, images, and music.*
– Creating content is becoming more automated.
7️⃣ *Reinforcement learning teaches AI by trial and error.*
– Like training a pet with rewards.
8️⃣ *AI needs vast amounts of data to improve.*
– The more diverse the data, the better it performs.
9️⃣ *Quantum computing could revolutionize AI.*
– Processing speeds would skyrocket.
🔟 *Ethics in AI is crucial.*
– Ensuring AI benefits society without harm.
[INFORMATIVE GIRL]