Nicolay Gerold

Depending on the user profile and specific use case, there may be other drivers of dataset value:

• Provable compliance becomes more valuable as a data asset traverses its maturity curve. In the early days, when the utility of the data is unknown, participants are less inclined to pay for compliance. But as the ecosystem matures, this becomes more of

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Here's a list of those log levels from lowest precedence to highest:

notset (0) - Indicates that ancestor loggers should be consulted for the log level or that all events are logged (default setting)

debug (10) - Detailed information that would be of interest to the developer for diagnostic purposes

info (20) - Information that confirms that your... See more

SAM-Med3D [Paper]

🌟 Highlights

• 📚 Curated the most extensive volumetric medical dataset to date for training, boasting 131K 3D masks and 247 categories.


• 🚤 Achieved efficient promptable segmentation, requiring 10 to 100 times fewer prompt points for satisfactory 3D outcomes.


• 🏆 Conducted a thorough assessment of SAM-Med3D across 15 frequently-used

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First Stage Ranking

After candidates are retrieved, the system needs to rank them by value to the user. This “value” is determined by how likely a user is to engage with the photo/video. Engagement is measured by whether the user likes/comments on it, shares it, watches it fully, etc.

The first stage ranker takes in thousands of candidates from the... See more

Who will this data model serve? These are the stakeholders and users of the data model.

Why does this data model need to be built? What is the purpose and objective of the data model?

What are the data model’s core entities, attributes, and relationships? This is where you learn to see the business through the lens of data.

When is the timeframe for... See more

uniflow provides a unified LLM interface to extract and transform and raw documents.

• Document types: Uniflow enables data extraction from PDFs, HTMLs and TXTs.


• LLM agnostic: Uniflow supports most common-used LLMs for text tranformation, including
  
  
  • OpenAI models (GPT3.5 and GPT4),
  
  
  • Google Gemini models (Gemini 1.5, MultiModal),
  
  
  • AWS BedRock models,
  
  
  • Huggingf

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There are no great tools to measure the levels of neuro-modulators outside a clinical setting.

• Django: It's like a superpower for solo developers. The longer you work in the industry, the more you appreciate the conventions it uses. A monolithic framework can get you really, really far. To me, it's about predictable software that's fast in every way that matters. By the way, I talk more about this topic on my other blog post Choose Boring

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