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Скачать или смотреть LLM Training Explained: ChatGPT's 3 Secret Steps Revealed

  • Edna's Tech Desk
  • 2025-12-16
  • 8
LLM Training Explained: ChatGPT's 3 Secret Steps Revealed
LLM trainingRLHFreinforcement learning human feedbackDPOdirect preference optimizationSFTsupervised fine tuningChatGPT traininghow LLMs learnAI training pipelineLLM fine tuningAI alignmentOpenAI RLHFmachine learningdeep learningsoftware engineering AItech careersprompt engineeringPython AI tutorialtransformers libraryGitHub CopilotEdna techAI for developersLLMOpsmodel trainingedna
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Описание к видео LLM Training Explained: ChatGPT's 3 Secret Steps Revealed

If you're a software engineer, tech leader, or project manager trying to work smarter with AI... this video is for you.

ChatGPT didn't get smart from reading the internet. The REAL magic happens in three training steps: SFT (Supervised Fine-Tuning), RLHF (Reinforcement Learning from Human Feedback), and DPO (Direct Preference Optimization). Understanding LLM training changes how you prompt, build, and work with AI models.

In this video, I break down: ✅ Why pre-trained models are useless without these steps ✅ How RLHF made a 1.3B parameter model beat a 175B model ✅ DPO - the new technique replacing expensive RLHF ✅ Live Python demo showing how it works

This is the LLM training pipeline every AI company uses but most developers don't understand. After watching, you'll prompt 10x better because you'll know how these models actually think.

#LLMTraining #RLHF #ChatGPT #AI #MachineLearning #SoftwareEngineering #AITraining #DPO #TechCareers #llm

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