Feeling lost while trying to break into AI/ML how should I focus my projects? [D]

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I’ve read through the thread where a British AI enthusiast is seeking advice on how to better present their work in the field of AI and machine learning.

• The individual has built several projects focused on evaluating large language models (LLMs), ensuring cost optimization, and tracing LLM interactions. Their main projects include RDAB, CostGuard, and Tether.
• They are now considering focusing their efforts around the question: “Can a cheaper LLM replace an expensive one without silently hurting quality?”
• The key points for improving this project would be to create more polished demonstrations, provide detailed technical documentation, offer real-world examples of how these solutions have been implemented and tested, and engage with relevant communities through networking.

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### Takeaways
– Focus your projects on a clear problem statement that resonates with hiring managers.
– Enhance the presentation of your work through polished demos, detailed technical documentation, and real-world case studies.
– Engage in networking and community building to showcase your expertise effectively.

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