Large Model Development
A development discipline focused on the underlying technologies of large models, encompassing model deployment, fine-tuning, distillation, and NLP/CV algorithm research. It does not involve front-end or back-end business development and requires a strong foundation in machine learning and deep learning.
Timeline (last 90 days)
For developers whose primary language is Java, investing one to two months is enough to catch up on the core skills of large model development, and the learning curve is relatively gentle.
The course is best suited for beginners who have no concept of AI large models at all and hope to systematically understand the full picture from principles to applications, as well as developers who have some programming foundation but lack practical experience with large models.
During the prototype validation stage of large model development, local small-parameter models (such as 7B and 13B) respond quickly with zero marginal cost, making them suitable for rapid iteration.
The author proposes a three-step methodology for efficiently learning large model development: quickly skim to build an overall understanding, study details carefully and organize mind maps, and write code by hand to build comprehension.
All Facts (4)
The course is best suited for beginners who have no concept of AI large models at all and hope to systematically understand the full picture from principles to applications, as well as developers who have some programming foundation but lack practical experience with large models.
50%UnverifiedDuring the prototype validation stage of large model development, local small-parameter models (such as 7B and 13B) respond quickly with zero marginal cost, making them suitable for rapid iteration.
50%UnverifiedThe author proposes a three-step methodology for efficiently learning large model development: quickly skim to build an overall understanding, study details carefully and organize mind maps, and write code by hand to build comprehension.
50%UnverifiedFor developers whose primary language is Java, investing one to two months is enough to catch up on the core skills of large model development, and the learning curve is relatively gentle.
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