Sources
Towards Data ScienceOrganizing ML projects can be challenging. In Chayma Zatout's article, she presents 3 visual tools: the AI canvas, the ML canvas, and the MLOps stack canvas. Check out the full article now! #MLOps #AIML https://t.co/SbQHy8Fg2Z
Open Data ScienceThis post is meant to walk through some of the steps of how to take your LLMs to the next level, focusing on critical aspects like LLMOps, advanced prompt engineering, and cloud-based deployments. #datascience #AI #artificialintelligence https://t.co/66kUyK9qw4
Athina AIBuilding an LLM? Don't skip human evaluation. It's not just a QA step – it's a crucial part of creating AI that's accurate, fair, and useful. #AIdev #LLMbest practices https://t.co/dW7pfHCB66 https://t.co/f6ld4jXAxb
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