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# Motivation
I wanted to participate more in solving the listed issues, but I already spent more than $30 on debugging with the ChatGPT API, lol.
Recently, Mistral announced that they have reduced…
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## What is the problem?
- The `ReducedOrder` model uses various boundary conditions, such as internal gains, CO2, moisture, ventilation, and weather
- The `HighOrder` uses tables for internal gain…
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## Problem
Models are organized according to database tables and they currently contain all data from one table. The application Views usually need combined data. Typically the main data comes from…
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the SLERP merge function is not currently able to be zk proven, was unable to calibrate before. It's been replaced with weighted average merging for now.
We need this. It might be some data type p…
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Hello
the traditional way of implementing GC (i.e. comparing a full and a reduced model), leads to some issues, pointed out to in this paper https://www.pnas.org/content/114/34/E7063.short. The mai…
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### Context
Neural networks are graphs consisting of nodes called operators. Each operator corresponds to a mathematical function, usually described in framework's documentation or an AI standard, …
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### Context
Neural networks are graphs consisting of nodes called operators. Each operator corresponds to a mathematical function, usually described in framework's documentation or an AI standard, …
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**Application**
This would allow inexperienced user to specify optimization problems at a high a level, without needing to worry about technical concerns such as making objectives and constraints qua…
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### What happened?
I tried to generate the mean climate metrics with PCMDI by comparing model simulations with observations. My simulation data here includes the pre-industrial control simulations ( …
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We need to map the following terms the NCI thesaurus or the appropriate ontology, or create new ones as needed:
decreased sensitivity
detrimental effect
increased benefit
no response
no sensitivity
r…