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001. Part 1 Foundations of modern transformer models.en.srt
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001. Part 1 Foundations of modern transformer models.mp4
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9.5 MB
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002. Chapter 1 The need for transformers.en.srt
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16.4 KB
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002. Chapter 1 The need for transformers.mp4
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54.4 MB
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003. Chapter 1 How to use transformers.en.srt
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3.4 KB
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003. Chapter 1 How to use transformers.mp4
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9.6 MB
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004. Chapter 1 When and why to use transformers.en.srt
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6 KB
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004. Chapter 1 When and why to use transformers.mp4
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16.2 MB
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005. Chapter 1 From transformer to LLM The lasting blueprint.en.srt
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3.1 KB
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005. Chapter 1 From transformer to LLM The lasting blueprint.mp4
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14.7 MB
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006. Chapter 1 Summary.en.srt
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2.1 KB
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006. Chapter 1 Summary.mp4
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10.8 MB
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007. Chapter 2 A deeper look into transformers.en.srt
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14.7 KB
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007. Chapter 2 A deeper look into transformers.mp4
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51.7 MB
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008. Chapter 2 Model architecture.en.srt
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46.2 KB
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008. Chapter 2 Model architecture.mp4
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122.3 MB
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009. Chapter 2 Summary.en.srt
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1.8 KB
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009. Chapter 2 Summary.mp4
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7.9 MB
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010. Part 2 Generative transformers.en.srt
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2.8 KB
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010. Part 2 Generative transformers.mp4
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7.4 MB
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011. Chapter 3 Model families and architecture variants.en.srt
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4 KB
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011. Chapter 3 Model families and architecture variants.mp4
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14.7 MB
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012. Chapter 3 The decoder-only architecture.en.srt
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8.6 KB
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012. Chapter 3 The decoder-only architecture.mp4
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32.3 MB
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013. Chapter 3 Encoder-only models.en.srt
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7 KB
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013. Chapter 3 Encoder-only models.mp4
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27 MB
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014. Chapter 3 Embedding models and RAG.en.srt
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16.4 KB
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014. Chapter 3 Embedding models and RAG.mp4
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50.4 MB
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015. Chapter 3 MoE in LLMs.en.srt
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13.3 KB
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015. Chapter 3 MoE in LLMs.mp4
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35.6 MB
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016. Chapter 3 Summary.en.srt
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1.5 KB
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016. Chapter 3 Summary.mp4
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9.1 MB
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017. Chapter 4 Text generation strategies and prompting techniques.en.srt
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37.5 KB
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017. Chapter 4 Text generation strategies and prompting techniques.mp4
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119.2 MB
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018. Chapter 4 The art of prompting.en.srt
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28.4 KB
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018. Chapter 4 The art of prompting.mp4
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85.2 MB
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019. Chapter 4 Summary.en.srt
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1.8 KB
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019. Chapter 4 Summary.mp4
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10.6 MB
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020. Chapter 5 Preference alignment and retrieval-augmented generation.en.srt
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15.4 KB
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020. Chapter 5 Preference alignment and retrieval-augmented generation.mp4
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53.2 MB
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021. Chapter 5 Aligning LLMs with direct preference optimization.en.srt
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20.4 KB
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021. Chapter 5 Aligning LLMs with direct preference optimization.mp4
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60.2 MB
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022. Chapter 5 MixEval A benchmark for robust and cost-efficient evaluation.en.srt
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5.1 KB
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022. Chapter 5 MixEval A benchmark for robust and cost-efficient evaluation.mp4
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18 MB
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023. Chapter 5 Retrieval-augmented generation.en.srt
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19.4 KB
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023. Chapter 5 Retrieval-augmented generation.mp4
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54.1 MB
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024. Chapter 5 Summary.en.srt
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1.2 KB
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024. Chapter 5 Summary.mp4
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7.1 MB
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025. Part 3 Specialized models.en.srt
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2.9 KB
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025. Part 3 Specialized models.mp4
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9.6 MB
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026. Chapter 6 Multimodal models.en.srt
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4.6 KB
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026. Chapter 6 Multimodal models.mp4
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13.6 MB
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027. Chapter 6 Combining modalities from different domains.en.srt
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5.2 KB
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027. Chapter 6 Combining modalities from different domains.mp4
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14.1 MB
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028. Chapter 6 Modality-specific tokenization.en.srt
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28.3 KB
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028. Chapter 6 Modality-specific tokenization.mp4
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82.7 MB
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029. Chapter 6 Multimodal RAG From PDF to images, tables, and cross-model comparison.en.srt
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6.9 KB
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029. Chapter 6 Multimodal RAG From PDF to images, tables, and cross-model comparison.mp4
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29.1 MB
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030. Chapter 6 Summary.en.srt
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030. Chapter 6 Summary.mp4
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8.6 MB
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031. Chapter 7 Efficient and specialized small language models.en.srt
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031. Chapter 7 Efficient and specialized small language models.mp4
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25.6 MB
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032. Chapter 7 Small models as agents in a system of specialists.en.srt
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5 KB
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032. Chapter 7 Small models as agents in a system of specialists.mp4
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15.8 MB
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033. Chapter 7 Classification with SLMs.en.srt
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15.2 KB
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033. Chapter 7 Classification with SLMs.mp4
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34.6 MB
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034. Chapter 7 Adapting Gemma 3 270M for empathy and prosocial tone.en.srt
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12.7 KB
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034. Chapter 7 Adapting Gemma 3 270M for empathy and prosocial tone.mp4
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37.1 MB
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035. Chapter 7 Adapting Gemma 3 270M for English_Spanish translation.en.srt
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6.1 KB
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035. Chapter 7 Adapting Gemma 3 270M for English_Spanish translation.mp4
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17.4 MB
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036. Chapter 7 Broader use cases and complementary models.en.srt
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6.7 KB
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036. Chapter 7 Broader use cases and complementary models.mp4
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22.6 MB
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037. Chapter 7 Summary.en.srt
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3.1 KB
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037. Chapter 7 Summary.mp4
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17.3 MB
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038. Chapter 8 Training and evaluating large language models.en.srt
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10 KB
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038. Chapter 8 Training and evaluating large language models.mp4
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35.3 MB
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039. Chapter 8 Model tuning and hyperparameter optimization.en.srt
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14.9 KB
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039. Chapter 8 Model tuning and hyperparameter optimization.mp4
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40.5 MB
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040. Chapter 8 Parameter-efficient fine-tuning LLMs.en.srt
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38.1 KB
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040. Chapter 8 Parameter-efficient fine-tuning LLMs.mp4
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134.8 MB
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041. Chapter 8 Summary.en.srt
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1.6 KB
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041. Chapter 8 Summary.mp4
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10 MB
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042. Chapter 9 Optimizing and scaling large language models.en.srt
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14.2 KB
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042. Chapter 9 Optimizing and scaling large language models.mp4
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47.2 MB
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043. Chapter 9 Sharding for memory optimization.en.srt
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7.8 KB
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043. Chapter 9 Sharding for memory optimization.mp4
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24.6 MB
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044. Chapter 9 Inference optimization.en.srt
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9.1 KB
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044. Chapter 9 Inference optimization.mp4
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30.8 MB
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045. Chapter 9 GPU-level optimization Tiling, threads, and memory.en.srt
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15 KB
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045. Chapter 9 GPU-level optimization Tiling, threads, and memory.mp4
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48 MB
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046. Chapter 9 Extending long-context windows.en.srt
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14.1 KB
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046. Chapter 9 Extending long-context windows.mp4
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49 MB
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047. Chapter 9 Summary.en.srt
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1.4 KB
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047. Chapter 9 Summary.mp4
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7.5 MB
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048. Chapter 10 Ethical and responsible large language models.en.srt
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7.9 KB
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048. Chapter 10 Ethical and responsible large language models.mp4
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30 MB
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049. Chapter 10 Transparency and explainability of LLMs.en.srt
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13.3 KB
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049. Chapter 10 Transparency and explainability of LLMs.mp4
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39.7 MB
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050. Chapter 10 Responsible use of LLMs.en.srt
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6.3 KB
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050. Chapter 10 Responsible use of LLMs.mp4
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18.2 MB
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051. Chapter 10 Safeguarding your language model.en.srt
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20.5 KB
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051. Chapter 10 Safeguarding your language model.mp4
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57.8 MB
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052. Chapter 10 Summary.en.srt
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1.6 KB
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052. Chapter 10 Summary.mp4
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10 MB
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Bonus Resources.txt
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TXT
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102.4 B
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