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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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Jaloliddin

Apr 17 '24

Syntax

#csharp #dotnet #beginners

1 min read

Rohit

Apr 16 '24

Map,Reduce,For-each Loops in js

#webdev #javascript #programming #beginners

2 min read

Francis

Apr 17 '24

Inside DuckDB: Deep Dive into DuckDB MetaPipeline

#duckdb #beginners #cpp #database

1 min read

Apr 16 '24

Large Language Models as Optimizers

#machinelearning #ai #beginners #datascience

4 min read

Apr 16 '24

H2O-Danube-1.8B Technical Report

#machinelearning #ai #beginners #datascience

4 min read

Apr 16 '24

Manipulating Large Language Models to Increase Product Visibility

#machinelearning #ai #beginners #datascience

4 min read

Apr 16 '24

Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?

#machinelearning #ai #beginners #datascience

4 min read

Apr 16 '24

Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck

#machinelearning #ai #beginners #datascience

4 min read

Apr 16 '24

Recommender Systems in the Era of Large Language Models (LLMs)

#machinelearning #ai #beginners #datascience

4 min read

Apr 16 '24

Dataset Reset Policy Optimization for RLHF

#machinelearning #ai #beginners #datascience

4 min read

Apr 16 '24

The Curse of Recursion: Training on Generated Data Makes Models Forget

#machinelearning #ai #beginners #datascience

4 min read

Apr 16 '24

Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying

#machinelearning #ai #beginners #datascience

4 min read

Apr 16 '24

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

#machinelearning #ai #beginners #datascience

4 min read

Apr 16 '24

BooookScore: A systematic exploration of book-length summarization in the era of LLMs

#machinelearning #ai #beginners #datascience

4 min read

Apr 16 '24

SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation

#machinelearning #ai #beginners #datascience

4 min read

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