2.56 GB | 34min 9s | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Introduction.mp4 (55.29 MB)
2 -1 1  Overview of Artificial Intelligence and Natural Language Processing (NLP).mp4 (25.63 MB)
3 -1 2   Evolution of Language Models (from N-grams to Transformers).mp4 (35.25 MB)
4 -1 2   Evolution of Language Models (from N-grams to Transformers).mp4 (44.38 MB)
5 -1 3  What Are Large Language Models.mp4 (68.42 MB)
6 -1 4  Key Features and Capabilities of LLMs.mp4 (40.45 MB)
7 -1 4  Key Features and Capabilities of LLMs 2.mp4 (59.69 MB)
8 -1 5  Activity Explore LLMs through interactive sessions (e g , ChatGPT, Bard, ).mp4 (66.62 MB)
9 -1 6  Conclusion.mp4 (12.24 MB)
1 -Module 2  Core Technologies and Architectures of LLMs.mp4 (19.79 MB)
2 -2 1  Neural Networks and Deep Learning Basics.mp4 (41.16 MB)
3 -2 2  Attention Mechanisms and Transformers.mp4 (37.69 MB)
4 -2 3  Pre-training and Fine-tuning Paradigms.mp4 (22.51 MB)
5 -2 4  Tokenization and Contextual Embeddings.mp4 (38.67 MB)
6 -2 5  Popular LLM Architectures GPT, BERT, T5, and PaLM.mp4 (54.96 MB)
7 -2 5  Popular LLM Architectures GPT, BERT, T5, and PaLM 2.mp4 (58.56 MB)
8 -2 6  Activity Visualize attention maps in transformers using tools like Hugging.mp4 (39.09 MB)
9 -2 7  Conclusion.mp4 (10.33 MB)
1 -Module 3  Training and Scaling LLMs.mp4 (27.9 MB)
2 -3 1  Data Collection and Preprocessing for LLMs.mp4 (66.08 MB)
3 -3 2  Compute Requirements and Scaling Challenges.mp4 (76.06 MB)
4 -3 3  Model Optimization Techniques (e g , mixed-precision training).mp4 (22.46 MB)
5 -3 4  Distributed Training for LLMs.mp4 (26.95 MB)
6 -3 5  Overview of OpenAI GPT, Meta LLaMA, and Google PaLM Training Practices.mp4 (42.43 MB)
7 -3 6  Activity Simulate a small-scale model training using libraries like Tensor.mp4 (53.12 MB)
8 -3 7  Conclusion.mp4 (7.88 MB)
1 -Module 4  Applications of LLMs.mp4 (19.29 MB)
10 -4 7  Conclusion.mp4 (16.33 MB)
2 -4 1  Text Generation and Summarization.mp4 (39.81 MB)
3 -4 1  Text Generation and Summarization 2.mp4 (33.79 MB)
4 -4 2  Chatbots and Virtual Assistants.mp4 (41.75 MB)
5 -4 3  Sentiment Analysis and Customer Insights.mp4 (29.66 MB)
6 -4 4  Question Answering Systems.mp4 (29.52 MB)
7 -4 5 Code Generation and Automation.mp4 (78.85 MB)
8 -4 5 Code Generation and Automation 2.mp4 (42.39 MB)
9 -4 6  Activity Build a chatbot or text summarization tool using OpenAI's API.mp4 (39.73 MB)
1 -Module 5  Fine-Tuning and Customizing LLMs.mp4 (67.14 MB)
2 -5 1  Techniques for Fine-Tuning Pre-trained Models.mp4 (84.41 MB)
3 -5 2  Domain-Specific Adaptations of LLMs.mp4 (37.21 MB)
4 -5 3  Few-Shot and Zero-Shot Learning with LLMs.mp4 (59.37 MB)
5 -5 4  Case Study Fine-Tuning for Healthcare, Legal, or E-Commerce Applications.mp4 (60.4 MB)
6 -5 5  Activity Fine-tune a pre-trained LLM on a specific dataset.mp4 (37.77 MB)
7 -5 6  Conclusion.mp4 (12.21 MB)
1 -Module 6  Deployment and Optimization of LLMs.mp4 (30.62 MB)
2 -6 1  Model Inference and Latency Optimization.mp4 (32.62 MB)
3 -6 2  Edge Deployment vs  Cloud Deployment.mp4 (35.13 MB)
4 -6 3  Introduction to Model Compression Techniques (e g , pruning, quantization).mp4 (47.39 MB)
5 -6 3  Introduction to Model Compression Techniques (e g , pruning, quantization)2.mp4 (53.09 MB)
6 -6 4  APIs and Frameworks for LLM Deployment (OpenAI , Hugging Face, TensorFloW).mp4 (24.92 MB)
7 -6 5  Activity Deploy a fine-tuned model via an API and test its performance.mp4 (32.57 MB)
8 -6 6  Conclusion.mp4 (20.83 MB)
1 -Module 7  Ethical and Security Considerations.mp4 (19.81 MB)
2 -7 1  Bias, Fairness, and Responsible AI.mp4 (21.16 MB)
3 -7 2  Data Privacy Concerns and Mitigation.mp4 (25.3 MB)
4 -7 3  Risks of Misinformation and Misuse (e g , deepfakes, fake news).mp4 (18.83 MB)
5 -7 4  Regulations and Governance for LLMs.mp4 (16.39 MB)
6 -7 5  Activity Analyze an ethical dilemma in LLM usage through group discussion.mp4 (46.08 MB)
7 -7 6  Conclusion.mp4 (29.31 MB)
1 -Module 8  Future of LLMs.mp4 (27.32 MB)
2 -8 1Advances in Multimodal Models (e g , GPT-4 Vision).mp4 (22.5 MB)
3 -8 2 Emerging Trends in LLM Efficiency (parse models, memory-efficient ).mp4 (23.91 MB)
4 -8 3 Cross-Disciplinary Applications of LLMs.mp4 (31.76 MB)
5 -8 4 Research Frontiers in LLMs.mp4 (19.98 MB)
6 -8 5 Activity Research and present on the potential impact of LLMs.mp4 (41.78 MB)
7 -8 6 Conclusion.mp4 (23.53 MB)
1 -Capstone Project.mp4 (195.84 MB)]
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