Unverified50% confidenceOpinionExact time
Teacher Li Jin suggested an advanced FDE technical path: first do AI agent development, then go deeper into model fine-tuning, distillation and pretraining.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/28/2026
First Seen
Valid until: 1/26/2027
Sources
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UnverifiedThe technical learning path for the FDE route is: start with AI Agent development or private model deployment, gradually go deeper into fine-tuning and model compression (distillation/quantization, etc.), and then to pre-training; in terms of difficulty, fine-tuning < model compression < pre-training.78% similarUnverifiedOver the past few years, leading AI laboratories have repeatedly emphasized the need to advance technology responsibly and have advocated for some degree of restraint regarding training scale and model release pace.73% similarVerifiedThe introduction of AI programming tools allows beginners to experience turning ideas into programs at an earlier stage, reducing the steepness of the learning curve.73% similarVerifiedCurrent implementations of recursive self-improvement include AI-assisted programming, AI-assisted research, and automated training pipeline optimization.72% similarUnverifiedThe course author believes one should learn the Agentic paradigm, which is at the core of AI development trends, rather than easily replaceable technologies such as prompt engineering, RAG personal knowledge bases, and local deployment and fine-tuning of large models.72% similar
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