Nicolay Gerold

Systems can be dynamic. Machine learning models are inherently limited because they are trained on static datasets, so their “knowledge” is fixed. Therefore, developers need to combine models with other components, such as search and retrieval, to incorporate timely data. In addition, training lets a model “see” the whole training set, so more

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Glutamine also reduces sugar craving by increasing blood sugar levels. Emulsifiers strip away the mucosal lining of the blood and cause the neurons to retract deeper into the tract. This stops the triggering of CCK signals. They also increase the neurons measuring sugar and trigger dopamine in the brain. This can lead to an overcompensation effect... See more

New prompts dropped @ingo This is very important to my career. You’d better be sure. Are you sure that’s your final answer? Believe in your abilities and strive for excellence. Your hard work will yield remarkable results. Are you sure that's your final answer? It might be worth taking another look.

With Quary, engineers can:

• 🔌 Connect to their Database


• 📖 Write SQL queries to transform, organize, and document tables in a database


• 📊 Create charts, dashboards and reports (in development)


• 🧪 Test, collaborate & refactor iteratively through version control


• 🚀 Deploy the organised, documented model back up to the database

View the documentation.

Vestibular system: hardwired system for balance. Three main modes of movement (pitch, ja and roll). Brain knows the orientation of the depending whether the head is moving some or a combination of the movement through the ear canals. If we are off balance, the cerebellum signals the release of dopamine, epinephrine and asidocoline to avoid falling.... See more

A REPL (read–eval–print loop) is an interactive environment that allows you to enter commands and immediately see the results — many programming languages provide a REPL.

Svelte's REPL is much more than that. It's an online tool that allows you to create complete apps, save them online, and share with others.

It's the easiest way to start playing... See more

We found the ML engineering workflow to revolve around the following stages (Figure 1): (1) Data Preparation , which includes scheduled data acquisition, cleaning, labeling, and trans-formation, (2) Experimentation , which includes both data-driven and model-driven changes to increase overall ML performance, and is typically measured by metrics... See more

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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Taste only triggers liking. This is why artificial sweeteners are not able to replace sugars, they only trigger liking but not the craving in the gut. They do not signal the brain that it doesn’t need to crave anymore.