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NLP with Transformers: Advanced Techniques and Multimodal Applications

15 chapters and 93 canonical sections synced from the Cuantum content database.

Author
Cuantum Tech.
Chapters
15
Reading time
~ 19h
Level
Professional
Language
English
Edition
2025
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Chapters & sections

15 chapters - 93 sections
Chapter 01

Chapter 1: Advanced NLP Applications

0/5
11.1 Machine Translation12m21.2 Text Summarization (Extractive and Abstractive)12m31.3 Text Generation with GPT Models12m41.4 Practical Exercises12m5Chapter 1 Summary12m
Chapter 02

Project 1: Machine Translation with MarianMT

0/8
6Advanced Customizations12m1Base Project Implementation12m8Conclusion12m7Deploying a Translation API12m2Step 1: Setting Up the Environment12m3Step 2: Loading the MarianMT Model12m4Step 3: Translating Text12m5Step 4: Exploring Additional Language Pairs12m
Chapter 03

Project 2: Text Summarization with T5

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1Base Project Implementation12m8Conclusion12m7Industry Applications12m2Step 1: Setting Up the Environment12m3Step 2: Loading the T5 Model12m4Step 3: Summarizing Text12m5Step 4: Adjusting Hyperparameters12m6Step 5: Summarizing Longer Texts12m
Chapter 04

Quiz Part I

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4Answer Key12m1Multiple Choice Questions12m3Short Answer Questions12m2True or False12m
Chapter 05

Chapter 2: Hugging Face and Other NLP Libraries

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12.1 Overview of the Hugging Face Ecosystem12m22.2 Hugging Face Transformers and Datasets Libraries12m32.3 TensorFlow and PyTorch for NLP12m42.4 Practical Exercises12m5Chapter Summary12m
Chapter 06

Chapter 3: Training and Fine-Tuning Transformers

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13.1 Data Preprocessing for Transformer Models12m23.2 Fine-Tuning Techniques: LoRA and Prefix Tuning12m33.3 Evaluation Metrics: BLEU, ROUGE, BERTScore12m43.4 Practical Exercises12m5Chapter Summary12m
Chapter 07

Chapter 4: Deploying and Scaling Transformer Models

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14.1 Real-Time Inferencing with ONNX and TensorFlow Lite12m24.2 Deploying Models on Cloud Platforms12m34.3 Scalable APIs with FastAPI and Hugging Face Spaces12m44.4 Practical Exercises12m5Chapter Summary12m
Chapter 08

Project 3: Sentiment Analysis API with Fine-Tuned Transformer

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8Applications of This Project12m9Conclusion12m2Step 1: Install Required Libraries12m3Step 2: Load and Preprocess the Dataset12m4Step 3: Fine-Tune the Model12m5Step 4: Build the FastAPI Application12m6Step 5: Run the API12m7Step 6: Deploy the API (Optional)12m1Steps to Build the Sentiment Analysis API12m
Chapter 09

Project 4: Named Entity Recognition (NER) Pipeline with Custom Fine-Tuning

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8Applications of This Project12m9Conclusion12m2Step 1: Install Required Libraries12m3Step 2: Load and Preprocess the Dataset12m4Step 3: Tokenize the Dataset12m5Step 4: Fine-Tune the Model12m6Step 5: Build the NER Pipeline12m7Step 6: Deploy the NER Pipeline as an API12m1Steps to Build the NER Pipeline12m
Chapter 10

Quiz Part II

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4Answer Key12m1Multiple-Choice Questions12m3Short-Answer Questions12m2True or False12m
Chapter 11

Chapter 5: Innovations and Challenges in Transformers

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15.1 Large Language Models: GPT-4, Claude, LLaMA12m25.2 Efficient Transformers: Reformer, BigBird, LongFormers12m35.3 Ethical AI: Bias and Fairness in Language Models12m45.4 Practical Exercises12m5Chapter Summary12m
Chapter 12

Chapter 6: Multimodal Applications of Transformers

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16.1 Vision-Language Models (CLIP, Flamingo)12m26.2 Speech Recognition with Whisper12m36.3 Multimodal AI: Integration of Text, Image, and Video12m46.4 Practical Exercises12m5Chapter Summary12m
Chapter 13

Project 5: Multimodal Medical Image and Report Analysis with Vision-Language Models

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6Applications of This System12m7Challenges and Considerations12m8Conclusion12m2Step 1: Install Required Libraries12m3Step 2: Load and Preprocess the Data12m4Step 3: Use CLIP for Image-Text Matching12m5Step 4: Generate Captions for Medical Images12m1Steps to Build the System12m
Chapter 14

Project 6: Multimodal Video Analysis and Summarization

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7Applications of This System12m8Challenges and Considerations12m9Conclusion12m2Step 1: Install Required Libraries12m3Step 2: Extract Video Frames12m4Step 3: Transcribe Audio from Video12m5Step 4: Perform Video Frame Analysis12m6Step 5: Generate Video Summaries12m1Steps to Build the System12m
Chapter 15

Quiz Part III

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4Answer Key12m1Multiple-Choice Questions12m3Short-Answer Questions12m2True or False12m