AI 하위 분야들

🚀𝐀𝐈 𝐢𝐬 𝐌𝐨𝐫𝐞 𝐓𝐡𝐚𝐧 𝐂𝐡𝐚𝐭𝐆𝐏𝐓

🔍 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐀𝐈):

• Visual Perception: AI that sees and interprets images.
• Intelligent Robotics: Smart robots that perform tasks.
• Speech Recognition 🗣️: Understanding spoken words.
• Natural Language Processing (NLP) 💬: Understanding and generating human language.
• Automated Programming 💻: AI that writes code.

📚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠:

• Decision Trees 🌳: Decision-making models.
• Naive Bayes Classification 📊: Simple probabilistic classifiers.
• K-Nearest Neighbors 👫: Finding similar data points.
• Principal Component Analysis (PCA) 📉: Reducing data dimensions.
• Anomaly Detection 🚨: Identifying unusual patterns.

🧠 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬:

• Multilayer Perceptrons 🔗: Basic neural networks.
• Hopfield Networks 🔄: Memory storage networks.
• Modular Neural Networks 🕸️: Multiple specialized networks.
• Boltzmann Machines 🧩: Networks for learning probabilities.
• Radial Basis Function Networks 🎯: Networks using radial functions.

🤖 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠:

• Convolutional Neural Networks (CNN) 📷: Image processing networks.
• Recurrent Neural Networks (RNN) ♾️: Sequence prediction networks.
• Generative Adversarial Networks (GAN) 🎨: AI generating new data.
• Autoencoders 🛠️: Compressing and reconstructing data.
• Self-Organizing Maps 🗺️: Data visualization networks.

✨ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈:

• BERT 📝: Understanding language context.
• GPT 🧠: Generating human-like text.
• One Shot Learning 📸: Learning from few examples.
• Transfer Learning 🔄: Applying knowledge to new tasks.
• Multimodal AI 🖼️: Combining text, images, and more.

👉자료 출처 : Generative AI 링크드인