AI Engineer's October Learning Curve: From Neural Networks to LLM Agents

This article outlines 30 key technology concepts encountered by a new AI engineer in October. It covers foundational AI topics such as machine learning, deep learning, neural networks, and natural language processing. The piece also delves into more advanced areas like transformers, large-language models, and specific techniques such as Retrieval-Augmented Generation (RAG), embeddings, vector databases, and agents. AI

IMPACT Provides a foundational overview of key AI concepts for newcomers to the field.

RANK_REASON The article is a personal reflection on learning AI concepts, not a primary announcement or research finding.

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• artificial intelligence engineer
• cloud computing
• computer vision
• data science
• deep learning
• generative adversarial network
• large-language models
• machine learning
• natural language processing
• Neural Networks
• Python
• PyTorch
• reinforcement learning
• TensorFlow
• transformers

• other

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