[Docs] Fix broken links and syntax issues (#28918)
* Fix model documentation links in attention.md * Fix external link syntax * Fix target anchor names of section links * Fix copyright statement comments * Fix documentation headings
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@@ -36,7 +36,7 @@ being a large model means it requires significant computational resources and in
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this approach suits your use case better than fine-tuning specialized models for each individual task.
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In this guide, you'll learn how to:
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- [Load IDEFICS](#loading-the-model) and [load the quantized version of the model](#loading-the-quantized-version-of-the-model)
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- [Load IDEFICS](#loading-the-model) and [load the quantized version of the model](#quantized-model)
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- Use IDEFICS for:
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- [Image captioning](#image-captioning)
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- [Prompted image captioning](#prompted-image-captioning)
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@@ -35,7 +35,7 @@ practices that help to achieve optimal results more consistently.
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This guide covers the prompt engineering best practices to help you craft better LLM prompts and solve various NLP tasks.
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You'll learn:
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- [Basics of prompting](#basic-prompts)
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- [Basics of prompting](#basics-of-prompting)
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- [Best practices of LLM prompting](#best-practices-of-llm-prompting)
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- [Advanced prompting techniques: few-shot prompting and chain-of-thought](#advanced-prompting-techniques)
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- [When to fine-tune instead of prompting](#prompting-vs-fine-tuning)
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