Nicolay Gerold

When our internal states of stress or calm match (mismatch) the demands on us, we tend to interpret these as good (bad). Alertness vs. stressors as a driver of emotions.

Cortisol can cross the blood-brain barrier (adrenaline cannot). This means the body can enter states of alertness without affecting the brain. Cold water and breathing protocols (Tumo, Wim Hoff Breathing) can trigger the release of Adrenaline while trying to calm yourself. You want to move through this calmly. Epinephrine released from the adrenal... See more

You can get one-trial learning through strong valence in both directions. You can quicken it through an emotional high adrenaline or a solely high emotional state. But it’s the presence of high adrenaline, cortisol and neuroprenephrine that leads to the stamping done of the memories.

In the open-source community, there are huge numbers of people leveraging AutoGen in creative ways, and solving surprising problems. One pattern that we see as fundamental is the "generator+critic" pattern, where one agent generates content (writing, code, etc.) and another agent critiques it (finds bugs, etc.) They can iterate until the solution... See more

Most studies use plasma biomarkers, which is much more short term. This may be the cause of many conflicting data.

It's up to the architect to foresee these outcomes and decide whether they are comfortable with them. Does it matter where this lands, or does it make sense to constrain the available choices in some way? Will this make life easier in the long term and help you to manage costs, or will it merely undermine agility without delivxering any tangible... See more

For the deployment side of things, we found that the performance of our training process was quite slow, especially when it gets into these large language models and when you train from scratch. MosaicML offers what's called programmatic optimization, which is not so much on the hardware side of things, but rather on the algorithmic side. Can you... See more

#################################

# Definition of used LLM

#################################

##########################################################################

def graphPrompt(input: str, metadata={}, model="mixtral:latest"):

if model == None:

model = "mixtral:latest"

chunk_id = metadata.get('chunk_id', None)

# model_info =... 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

... See more