Udemy Unstructured Data Preprocessing for RAG Apps And LLMs - NEW

0dayddl

U P L O A D E R
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2.36 GB | 00:08:13 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English


Files Included :
1 Introductions and What the Course is About and Prerequisites (64.09 MB)
2 Course Structure (21.05 MB)
1 What's Next (63.78 MB)
1 Development Environment Setup - Overview (27.49 MB)
2 Setup OpenAI API Account and API Key (45.61 MB)
3 Setup the Unstructured Account and FREE API Key (27.25 MB)
4 Unstructured Framework Test Run (41.13 MB)
1 Data Preprocessing Deep Dive - Overview (101.36 MB)
2 Data Preprocessing for LLMs Overview - Why Data Preprocessing is Hard (9.07 MB)
3 Challenges with Unstructured Data (15.64 MB)
4 How Content Extraction Works - Cleaning and Data Normalization (51.27 MB)
5 Chunking and Structuring Data and Workflow Orchestration (132.91 MB)
6 The Unstructured Framework - The Whole Workflow and Overview (139.21 MB)
1 Check in (20.98 MB)
1 Hands-on Preprocessing a PDF File and Dissecting the Extracted JSON Data (113.89 MB)
2 Hands-on Preprocessing a PPTX (PowerPoint) File (69.02 MB)
3 Hands-on Preprocessing an HTML File (21.75 MB)
4 Benefits of Normalizing Content - Summary (62.64 MB)
1 Content Chunking and Metadata Extraction - Overview (96.34 MB)
2 Finding Elements Associated with Chapters - Hands-on (85.82 MB)
3 Semantic Similarity - Hybrid Search and Saving Documents to Vector Database (95.34 MB)
4 Code Restructuring - Avoid Multiple Document Preprocessing (22.81 MB)
5 Semantic Similarity Challenges - Information Recency Criteria (70.46 MB)
6 Chunking for Document Elements and Benefits - Full Overview (146.06 MB)
7 Chunking Document Content - Hands-on (41.69 MB)
8 Summary (18.82 MB)
1 Preprocessing Complex Documents - PDFs and Images - Overview (13.15 MB)
2 Document Image Analysis Methods Document Layout Detector and Visual Transformer (73.08 MB)
3 Advantages and Disadvantages of ViT and DLD (46.27 MB)
4 Preprocessing HTML and PDF files - Fast (44.38 MB)
5 Preprocessing with Document Layout Detection and Comparing the Results (82.09 MB)
6 Table Content Extraction - Hands-on (68.39 MB)
7 Summarizing the Table Data with LangChain - Hands-on (47.74 MB)
1 Put it All Together - Build a RAG System Using What You've Learned - Overview (18.94 MB)
2 Preprocessing a PDF File and Showing Tabular Content as Well - Part 1 (60.25 MB)
3 Filtering out References and Headers from PDF - Part 2 (60.09 MB)
4 Preprocess PPTX & MD File and Save Document Elements to Vector Database Part 3 (72.59 MB)
5 Chat with Your Own Documents - PDF - Part 4 (140.22 MB)
6 Chat with Your Own Documents - MD and PPTX Documents - Final (80.15 MB)

Screenshot
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Code:
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Code:
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Code:
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