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Model fine-tuning is the process of further training a pre-trained machine learning model on a specific dataset or task. This technique allows the model to adapt its knowledge to a particular domain o…
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We need to improve our capabilities to analyze where our computational grids need more or less resolution. This is important for many reasons:
- We need to understand if some parts of the domain ar…
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Hello,
In my Kaggle journey I use quite often the IQR technique to fill out-of-scale values with predefined or data driven values.
I already have a scikit-compatible implementation of such a met…
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### Proposal
Therefore, we have divided the training process into three stages:
Large-scale pre-training stage (Conducted by LLaMA-2): This initial stage is aimed at establishing the model's found…
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- currently we are consedring using alexa as data source
- neverthe less it got various issue
- no semantic knowledge. only the name of the domain, and a rank
- no idea if google.com got the same …
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### Describe the issue
I would expect `fastapi` cmd to work with `mkPoetryEnv` and the latest `fastapi[standard]`, but it does not.
`poetry run fastapi` does not find a command. I can see `fas…
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### Describe the issue
The documentation regarding ["Using private Python package repositories with authentication"](https://github.com/nix-community/poetry2nix#using-private-python-package-repos…
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Hello! Here is the current pipeline on how to fetch related papers from the web. All feedback/suggestions are welcomed!
(1) Since there will be 600+ new papers listed each day and 2 millions in tot…
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Knowledge representations may have a probabilistic nature and capturing that is especially important for complex business domains where data is ... non-stationary or contextual.
This is often seen …
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At this moment you have `si:complete` as a flag indicating if a shape index is complete, thus, every resource inside the subweb is describe by the index.
However, I wonder whether this doesn’t boil…