Judge your Resume with AI - NeuML

The article discusses the use of retrieval augmented generation (RAG) and large language models (LLMs) in the field of AI and machine learning, particularly in generating creative works. The author, David Mezzetti, uses his resume as an example to demonstrate how RAG can generate answers to questions using one's internal data. He uses the txtai library to extract text from his resume and then sets up a large language model to inspect it.

The article also explores how different system prompts can control the style and tone of the generated text. For instance, the author changes the system prompt from a friendly assistant to a harsh critical reviewer, resulting in different responses to the same questions about his resume. The author concludes by encouraging readers to try this method on their own resumes.

Key takeaways:

The article discusses the use of Large Language Models (LLMs) and Generative AI in the AI and machine learning space, with a focus on retrieval augmented generation (RAG).
The author uses his own resume to demonstrate how RAG can generate answers to questions using one's own internal data.
The article shows how different system prompts can control the style and tone of the generated text, providing examples of both a friendly and a critical tone.
The author encourages readers to try this technology on their own resumes, highlighting its potential for providing insightful and honest assessments.

Judge your Resume with AI - NeuML - Medium

Key takeaways:

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