Evolving AI Engineering
The conversation highlights the growing accessibility of AI engineering, allowing individuals from various software backgrounds to leverage language models for practical applications. Emphasis is placed on understanding the different roles within the field, such as machine learning engineers and AI engineers, and the importance of tools like prompt engineering and fine-tuning. The landscape has shifted dramatically, making it feasible for developers to create and fine-tune models without the need for extensive resources.In this clip
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Machine Learning Street Talk (MLST)
Jay Alammar on LLMs, RAG, and AI Engineering
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