Don't Waste 2 Years Learning LLMs | Stanford's FREE Course Explains ChatGPT & Claude

Описание: Stanford has released one of the best FREE courses on Large Language Models (LLMs), covering how modern AI systems like ChatGPT, Claude, Gemini, and DeepSeek actually work under the hood.

If you're a software engineer, AI engineer, ML student, or simply curious about how LLMs are built, this course is worth watching before spending months jumping between random tutorials.

In this video, you'll learn:

• 00:00 LLM Tokenization
Learn how text is converted into tokens before entering a language model.

• 25:44 How LLMs Decode Prompts
Understand how models generate responses one token at a time.

• 35:40 LLM Training Pipeline
See the complete process from collecting data to training massive language models.

• 1:16:47 Transformer & LLM Architecture
Understand the architecture behind ChatGPT, Claude, Gemini, and other modern AI systems.

Companies like Anthropic, OpenAI, Google DeepMind, Meta, and xAI look for engineers with a deep understanding of these concepts. Senior AI engineers working in this space can command exceptionally high compensation, making these fundamentals valuable for anyone pursuing AI engineering.

If your goal is to become an AI Engineer, Machine Learning Engineer, or LLM Engineer in 2026, this is one of the best places to start.

Like the video if you found it helpful and subscribe for more AI engineering, backend development, system design, and software engineering content.

#LLM #AI #MachineLearning #ChatGPT #ClaudeAI #Stanford #ArtificialIntelligence #Transformer #GenerativeAI #deeplearning #LLMEngineering #SoftwareEngineering #OpenAI #Anthropic #aiengineering


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