Rewriting the cookbook introduction to update it and make it more user friendly.

[paytonison]

TL;DR: Rewrites the Cookbook introduction for clarity and usability. Adds quick-start Python/JS examples, streaming demo, glossary, and practical guidance on knobs, limits, and best practices.

Summary

This PR rewrites the Cookbook introduction to make it more user-friendly, actionable, and code-first.
The previous version gave a high-level overview but lacked copy-pasteable examples and practical guidance.
This rewrite focuses on the “developer experience” by giving readers immediate, working snippets and clear mental models.

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What’s Changed

• Quick-start code examples in both Python and JavaScript (Responses API, streaming).
• At-a-glance diagram showing how LLMs work from tokens → embeddings → transformer → output.
• Knobs & trade-offs (temperature, top-p, max tokens, context window, latency vs cost).
• Streaming example for real-time UX patterns.
• Limitations & gotchas (hallucinations, determinism, recency, JSON enforcement).
• Glossary of core terms for fast reference.
• “Where to go next” section that points to deeper Cookbook chapters (prompting, RAG, evaluation, safety).

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Why This Helps

• Gives new users immediate hands-on success.
• Makes terminology precise (distinguishing embeddings vs contextual representations).
• Surfaces best practices (defaults, evaluation, streaming).
• Updates language so it doesn’t feel tied to older GPT versions.
• Provides a consistent structure with other Cookbook pages (overview → code → concepts → limits → glossary).

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Notes for Reviewers

• Rendered Markdown has been previewed for formatting.
• Code snippets have been validated against current SDKs.
• Kept length reasonable while still comprehensive; open to trimming if you’d prefer a shorter intro.

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✅ Clearer, friendlier, and more actionable for first-time Cookbook readers.

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For new content

When contributing new content, read through our contribution guidelines, and mark the following action items as completed:

• I have added a new entry in registry.yaml (and, optionally, in authors.yaml) so that my content renders on the cookbook website.
• I have conducted a self-review of my content based on the contribution guidelines:
  • Relevance: This content is related to building with OpenAI technologies and is useful to others.
  • Uniqueness: I have searched for related examples in the OpenAI Cookbook, and verified that my content offers new insights or unique information compared to existing documentation.
  • Spelling and Grammar: I have checked for spelling or grammatical mistakes.
  • Clarity: I have done a final read-through and verified that my submission is well-organized and easy to understand.
  • Correctness: The information I include is correct and all of my code executes successfully.
  • Completeness: I have explained everything fully, including all necessary references and citations.

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[Copilot]

Pull Request Overview

This PR replaces the existing detailed LLM guide with a new, more accessible introductory article focused on making large language model concepts approachable for beginners. The rewrite emphasizes fundamental concepts in a concise, user-friendly format while removing outdated technical details.

• Introduces a new beginner-friendly article explaining LLM basics, capabilities, and core concepts
• Removes the previous comprehensive guide that contained outdated model references and dense technical content
• Streamlines documentation structure to be more welcoming for newcomers

Reviewed Changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File	Description
articles/llms-101.md	New introductory article providing accessible overview of LLM fundamentals and capabilities
articles/how_to_work_with_large_language_models.md	Removal of existing detailed guide with outdated content and technical complexity

Comments suppressed due to low confidence (1)

articles/llms-101.md:7

• This statement is outdated. ChatGPT was initially built on GPT-3.5, not GPT-3, and has since been upgraded to GPT-4. Consider updating to reflect the current state or use more general language like 'OpenAI's ChatGPT brought this architecture into the spotlight'.

OpenAI’s ChatGPT, built on GPT-3, brought this architecture into the spotlight and kicked off today’s wave of AI applications.

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