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Descriptions

Welcome to the staging ground for new communities! Each proposal has a description in the "Descriptions" category and a body of questions and answers in "Incubator Q&A". You can ask questions (and get answers, we hope!) right away, and start new proposals.

Are you here to participate in a specific proposal? Click on the proposal tag (with the dark outline) to see only posts about that proposal and not all of the others that are in progress. Tags are at the bottom of each post.

Posts tagged machine-learning

Use for questions that belong to the Machine Learning community proposal.

Community tag for the Machine Learning proposal. See the proposal for which topics are covered, the scope of the community, and other details.

Use this tag for posts in the Incubator Q&A and Meta categories that concern this particular proposal.

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Incubator Q&A Do Large Language Models "reason"?

There is a lot of debate about the "cognitive" capabilities of LLMs and LLM-based chatbots, like ChatGPT. It's common to see statements like "these models just apply statistical pattern matching" a...

2 answers  ·  posted 7mo ago by pbloem‭  ·  last activity 7mo ago by mr Tsjolder‭

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Meta Broaden the scope of AI tech into all ML?

I created the AI tech proposal primarily because I thought it would be good to have a place to discuss doing stuff with AI models rather than the details of how they are trained and how they work. ...

1 answer  ·  posted 1y ago by matthewsnyder‭  ·  last activity 7mo ago by pbloem‭

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Incubator Q&A What is the technical term for converting a sound recording to a phoneme vector?

Many natural language processing models begin by taking text and converting it to a vector where each element is a number representing some semantic entity (I would say each number is a word, but a...

1 answer  ·  posted 1y ago by matthewsnyder‭  ·  last activity 1y ago by mr Tsjolder‭

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Incubator Q&A Is LLM fine tuning the same as transfer learning?

When people talk about fine tuning LLMs, it sounds a lot like glorified transfer learning. Is it the same thing, or is it a distinct technique? What are the differences?

1 answer  ·  posted 1y ago by matthewsnyder‭  ·  last activity 1y ago by mr Tsjolder‭

Descriptions Machine Learning

The Machine Learning (ML) community aims to provide a platform for anyone interested in helping computers learn from data. We mainly target people with backgrounds in data science, machine learnin...

posted 1y ago by mr Tsjolder‭  ·  edited 1y ago by mr Tsjolder‭

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Incubator Q&A What types of learning should I know about?

In machine learning there seem to be various types of learning. I commonly hear about supervised learning, unsupervised learning, and reinforcement learning. However, it is not always clea...

1 answer  ·  posted 1y ago by mr Tsjolder‭  ·  edited 1y ago by mr Tsjolder‭

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Incubator Q&A What is unsupervised learning?

In unsupervised learning, training data does not have labels. But, how can a model be trained without labels?

1 answer  ·  posted 1y ago by matthewsnyder‭  ·  last activity 1y ago by mr Tsjolder‭

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Incubator Q&A Incremental training vs. transfer learning

Is incremental training the same as transfer learning? What exactly is the difference?

0 answers  ·  posted 1y ago by matthewsnyder‭

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Incubator Q&A What is hyperparameter tuning?

What is hyperparameter tuning? What makes the parameters "hyper"? Is tuning the same as learning or training?

0 answers  ·  posted 1y ago by matthewsnyder‭  ·  edited 1y ago by matthewsnyder‭

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Incubator Q&A How does fine tuning work?

LLMs are trained on a lot of text. At its heart, an LLM is a glorified autocomplete engine. You give it text, and it adds more text that matches the pattern. You need to "direct" the autocomplete,...

0 answers  ·  posted 1y ago by matthewsnyder‭

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Incubator Q&A Why can't we use linear regression on logits for solving logistic regression problems?

Consider a machine learning problem with inputs $\boldsymbol{X} \in \mathbb{R}^{N \times D}$ and corresponding labels $\boldsymbol{y} \in \mathcal{Y}^N$. When the problem is to solve a regression ...

1 answer  ·  posted 1y ago by mr Tsjolder‭  ·  last activity 1y ago by mr Tsjolder‭

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Incubator Q&A What are the support vectors in a soft-margin SVM

I know what Support Vector Machines (SVMs) are and how they work, but I regularly get confused by what exactly the support vectors are. In case of linearly separable data, the support vectors are ...

1 answer  ·  posted 1y ago by mr Tsjolder‭  ·  last activity 1y ago by mr Tsjolder‭