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"A journey of a thousand miles begins with a single step." -Chinese Proverb

submission guidelines

UPDATED AUGUST 2, 2019

This tag is dedicated to beginners to programming, development, networking, or to a particular language. Everything should be geared towards that!

For Questions...

Consider using this tag along with #help, if...

You are new to a language, or to programming in general,
You want an explanation with NO prerequisite knowledge required.
You want insight from more experienced developers.

Please do not use this tag if you are merely new to a tool, library, or framework.

See also, #explainlikeimfive

For Articles...

Posts should be specifically geared towards true beginners (experience level 0-2 out of 10).
Posts should require NO prerequisite knowledge, except perhaps general (language-agnostic) essentials of programming.
Posts should NOT merely be for beginners to a tool, library, or framework.

If your article does not meet these qualifications, please select a different tag.

Promotional Rules

Posts should NOT primarily promote an external work. This is what Listings is for.
Otherwise accepable posts MAY include a brief (1-2 sentence) plug for another resource at the bottom.
Resource lists ARE acceptable if they follow these rules:
- Include at least 3 distinct authors/creators.
- Clearly indicate which resources are FREE, which require PII, and which cost money.
- Do not use personal affiliate links to monetize.
- Indicate at the top that the article contains promotional links.

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May 28 '24

Models That Prove Their Own Correctness

#machinelearning #ai #beginners #datascience

5 min read

May 28 '24

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

#machinelearning #ai #beginners #datascience

4 min read

May 28 '24

Surveilling the Masses with Wi-Fi-Based Positioning Systems

#machinelearning #ai #beginners #datascience

5 min read

May 28 '24

Lessons from the Trenches on Reproducible Evaluation of Language Models

#machinelearning #ai #beginners #datascience

5 min read

May 28 '24

XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection

#machinelearning #ai #beginners #datascience

4 min read

May 28 '24

Not All Language Model Features Are Linear

#machinelearning #ai #beginners #datascience

4 min read

May 28 '24

Many-Shot In-Context Learning

#machinelearning #ai #beginners #datascience

4 min read

May 28 '24

Efficient Encoder-Decoder Transformer Decoding for Decomposable Tasks

#machinelearning #ai #beginners #datascience

3 min read

May 28 '24

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

#machinelearning #ai #beginners #datascience

4 min read

May 28 '24

Extracting Prompts by Inverting LLM Outputs

#machinelearning #ai #beginners #datascience

4 min read

May 28 '24

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA

#machinelearning #ai #beginners #datascience

4 min read

May 28 '24

Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer

#machinelearning #ai #beginners #datascience

4 min read

May 28 '24

LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B

#machinelearning #ai #beginners #datascience

4 min read

Ankit Bal

May 28 '24

How to Land Your First Developer Job Without Experience

#beginners #tutorial #codenewbie #career

1 min read

May 28 '24

Attention as an RNN

#machinelearning #ai #beginners #datascience

4 min read

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