Nicolay Gerold

Moringa as a supplement to boost antioxidants. Tablespoon into smoothies.

Incorporate checklist to ensure external accountability. They help people Safe cognitive resources for unexpected aspects.

One of the first things Data Scientists learn as they run predictions is to avoid the use of loops. That’s because most ML libraries support vectorized inference, combining many inputs into a batch and more efficiently calculating the results. This specialized technique combines framework-level features with specialized hardware like GPUs, making... See more

The microbiome can be steered through the ingestion of certain foods.

HelixNet is a Deep Learning architecture consisting of 3 x Mistral-7B LLMs. It has an actor, a critic, and a regenerator. The actor LLM produces an initial response to a given system-context and a question. The critic then takes in as input, a tuple of (system-context, question, response) and provides a critique based on the provided answer to the... See more

Heat.js

🌞 A lightweight JavaScript library that generates customizable heat maps and charts to visualize date-based activity and trends.

v1.8.2

a lot of the focus today is on the development of foundational large language models (LLMs), the transformer architecture was invented only 6 years ago, and ChatGPT was released less than a year ago. It will likely take years, or even decades, before we have a full tech stack for generative AI and LLMs and a host of transformative... See more

engineers continuously monitored features for and predictions from production models (Lg1, Md1, Lg3, Sm3, Md4, Sm6, Md6, Lg5, Lg6): Md1 discussed hard constraints for feature columns (e.g., bounds on values), Lg3 talked about monitoring completeness (i.e., fraction of non-null values) for features, Sm6 mentioned embedding their pipelines with... See more