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Replace Intro Article #2143
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Replace Intro Article #2143
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Pull Request Overview
This pull request replaces an outdated introductory article about large language models with a new, more accessible beginner-friendly guide. The update aims to modernize the content with references to current models and provide a more practical, code-first approach for developers.
- Introduces a new beginner-friendly LLM guide with hands-on Python and JavaScript examples
- Removes the older introductory article to avoid content redundancy
- Updates metadata files to register the new content and author
Reviewed Changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated 5 comments.
File | Description |
---|---|
registry.yaml | Registers the new LLM 101 article with metadata and tags |
authors.yaml | Adds new author "paytonison" with profile information |
articles/openai-cookbook-llms-101.md | New practical introduction to LLMs with code examples and explanations |
articles/how_to_work_with_large_language_models.md | Removes the older introductory article |
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Number dyslexia as an american is hard Co-authored-by: Copilot <[email protected]>
Co-authored-by: Copilot <[email protected]>
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🧲🔒💻
i panicked and thought i leaked something. sorry. |
This pull request introduces a new beginner-friendly guide to large language models (LLMs), updates the article registry and author list to include the new content and author, and removes an older introductory article on working with LLMs. The new guide provides a practical, code-first introduction, including hands-on examples in Python and JavaScript, and covers core concepts, best practices, and common pitfalls for developers.
Resolves issue #2119.
Content updates:
openai-cookbook-llms-101.md
, which provides a concise, practical introduction to LLMs with code examples, explanations of key concepts (tokenization, embeddings, transformer layers), and actionable advice for developers.how_to_work_with_large_language_models.md
, which previously covered similar introductory material, to avoid redundancy.Metadata and registry updates:
paytonison
, toauthors.yaml
for attribution of the new article.registry.yaml
under the appropriate tags and with author attribution.Motivation
The introduction for the Cookbook is outdated and references old models. It needs to be revised to include GPT-5 and highlight the more advanced capabilities of LLMs, beyond just basic text generation, word prediction, and semantic analysis, especially with GPT-5.
Additionally, the original introduction sounded like it was written by a seasoned expert as an afterthought and isn't very accessible for newcomers who are interested in using the API for AI.
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