How-To.md

@@ -12,7 +12,7 @@ A complete guide to [**running local LLM models.pdf**](uploads/3764cbf71cc3d05bc
 
 How to build apps with [**Tiny LLMs.pdf**](uploads/5504a5460eb3dba484c68a5d656ea269/Tiny_LLMs.pdf)
 
-[**Phi-2.pdf**](uploads/435b3b21528d10582d4a4aa3a8584a02/Phi-2.pdf)** -** a small but efficient model easy to fine-tune on GPU
+[**Phi-2.pdf**](uploads/435b3b21528d10582d4a4aa3a8584a02/Phi-2.pdf)\*\* -\*\* a small but efficient model easy to fine-tune on GPU
 
 How to use and train [**Mamba.pdf**](uploads/b32aa83b0666f82b0267deb6905927c1/Mamba.pdf) - a small LLM with a new architecture
 
@@ -78,4 +78,6 @@ How to [**build Large AI Models** ](https://medium.com/geekculture/how-to-build-
 
 [**Language Cross Transfer**](https://arxiv.org/abs/2301.09626) - paper about transferring the language knowledge between LLMs
 
-Using [**ChatDOC**](https://medium.com/@chatdocai/revolutionizing-rag-with-enhanced-pdf-structure-recognition-22227af87442) for RAG with Enhanced PDF Structure Recognition
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+Using [**ChatDOC**](https://medium.com/@chatdocai/revolutionizing-rag-with-enhanced-pdf-structure-recognition-22227af87442) for RAG with Enhanced PDF Structure Recognition
+
+[**PDF Parsing.pdf**](uploads/9e01a81a39dca88e4061e5a402bd1286/PDF_Parsing.pdf) for RAG, the extraction of information from documents
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