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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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Islamali Akhmadjanov

May 7 '24

setw() & setfill() | C++ boshlang'ich

#beginners #tutorial #programming #cpp

1 min read

Islamali Akhmadjanov

May 7 '24

cin | C++ boshlang'ich

#news #beginners #programming #tutorial

1 min read

May 7 '24

Learning AWS day by Day - Day 58 - Amazon API Gateway

#aws #beginners #cloud #cloudcomputing

1 min read

Ashley R.

May 7 '24

Understanding HTML Elements: Tags, Attributes, and Values

#beginners #codenewbie #html #learning

3 min read

May 7 '24

Poisoning Web-Scale Training Datasets is Practical

#machinelearning #ai #beginners #datascience

3 min read

May 7 '24

Beyond Memorization: Violating Privacy Via Inference with Large Language Models

#machinelearning #ai #beginners #datascience

3 min read

May 7 '24

Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

#machinelearning #ai #beginners #datascience

4 min read

May 7 '24

SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking

#machinelearning #ai #beginners #datascience

4 min read

May 7 '24

Prompt Design and Engineering: Introduction and Advanced Methods

#machinelearning #ai #beginners #datascience

4 min read

May 7 '24

A Simple and Effective Pruning Approach for Large Language Models

#machinelearning #ai #beginners #datascience

3 min read

May 7 '24

Generative AI Beyond LLMs: System Implications of Multi-Modal Generation

#machinelearning #ai #beginners #datascience

3 min read

May 7 '24

SAR image matching algorithm based on multi-class features

#machinelearning #ai #beginners #datascience

4 min read

May 7 '24

FLAME: Factuality-Aware Alignment for Large Language Models

#machinelearning #ai #beginners #datascience

4 min read

May 7 '24

Porting HPC Applications to AMD Instinct$^text{TM}$ MI300A Using Unified Memory and OpenMP

#machinelearning #ai #beginners #datascience

4 min read

May 7 '24

Circuit Component Reuse Across Tasks in Transformer Language Models

#machinelearning #ai #beginners #datascience

4 min read

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