This article discusses the impact of Large Language Models (LLMs) on the field of software engineering, arguing that while LLMs can increase efficiency, it's crucial to maintain a pipeline of junior engineers who learn through practical experience and problem-solving, rather than solely relying on AI-generated code.
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Resource-efficient LLMs and Multimodal Models
A useful survey of resource-efficient LLMs and multimodal foundations models.
Provides a comprehensive analysis and insights into ML efficiency research, including architectures, algorithms, and practical system designs and implementations.
A useful survey of resource-efficient LLMs and multimodal foundations models.
Provides a comprehensive analysis and insights into ML efficiency research, including architectures, algorithms, and practical system designs and implementations.
