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001. GenAI for Busy Java Developers - Introduction.en.srt
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5.3 KB
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001. GenAI for Busy Java Developers - Introduction.mp4
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33.6 MB
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001. GenAI for Busy Java Developers - Summary.en.srt
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1.5 KB
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001. GenAI for Busy Java Developers - Summary.mp4
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9.6 MB
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001. Learning objectives.en.srt
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819.2 B
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001. Learning objectives.mp4
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4.9 MB
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002. 1.1 Describe the historical evolution of Patterns, AI, and Machine Learning.en.srt
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8.7 KB
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002. 1.1 Describe the historical evolution of Patterns, AI, and Machine Learning.mp4
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22.3 MB
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002. 10.1 Describe why Vector Stores are needed.en.srt
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5.9 KB
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002. 10.1 Describe why Vector Stores are needed.mp4
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14.6 MB
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002. 11.1 Identify what a Tool (function-calling) is.en.srt
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3.7 KB
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002. 11.1 Identify what a Tool (function-calling) is.mp4
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10.9 MB
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002. 12.1 Summarize major concepts from each chapter.en.srt
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3.2 KB
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002. 12.1 Summarize major concepts from each chapter.mp4
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9.4 MB
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002. 2.1 Illustrate the structure of a basic neural network.en.srt
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512 B
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002. 2.1 Illustrate the structure of a basic neural network.mp4
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2.1 MB
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002. 3.1 Design effective prompts using zero-shot, few-shot, and chain-of-thought techniques.en.srt
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11.6 KB
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002. 3.1 Design effective prompts using zero-shot, few-shot, and chain-of-thought techniques.mp4
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31 MB
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002. 4.1 Describe various types of programmatic access to GenAI services.en.srt
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2.1 KB
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002. 4.1 Describe various types of programmatic access to GenAI services.mp4
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6.5 MB
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002. 5.1 Define core components of LangChain4j.en.srt
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2 KB
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002. 5.1 Define core components of LangChain4j.mp4
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4.2 MB
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002. 6.1 Identify why templates are useful.en.srt
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3.2 KB
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002. 6.1 Identify why templates are useful.mp4
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8.2 MB
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002. 7.1 Diagram the structure of a chatbot architecture.en.srt
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3.5 KB
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002. 7.1 Diagram the structure of a chatbot architecture.mp4
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9.3 MB
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002. 8.1 Understand basic ways to get an LLM to return a useful result.en.srt
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7.3 KB
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002. 8.1 Understand basic ways to get an LLM to return a useful result.mp4
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17.4 MB
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002. 9.1 Understand why similarity is needed for GenAI.en.srt
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2.1 KB
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002. 9.1 Understand why similarity is needed for GenAI.mp4
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7.8 MB
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003. 1.2 Explain the distinction between GenAI and PredAI.en.srt
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7 KB
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003. 1.2 Explain the distinction between GenAI and PredAI.mp4
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20.8 MB
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003. 10.2 Classify different vector store options.en.srt
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2.6 KB
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003. 10.2 Classify different vector store options.mp4
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5.8 MB
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003. 11.2 Understand the relationship between reasoning models and tools.en.srt
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6.2 KB
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003. 11.2 Understand the relationship between reasoning models and tools.mp4
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14.4 MB
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003. 12.2 List tools, libraries, and resources used in the course.en.srt
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1 KB
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003. 12.2 List tools, libraries, and resources used in the course.mp4
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4.4 MB
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003. 2.2 Explain the role of weights in the learning process.en.srt
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2.2 KB
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003. 2.2 Explain the role of weights in the learning process.mp4
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7.8 MB
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003. 3.2 Explain the importance of context in prompt success and result consistency.en.srt
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3.8 KB
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003. 3.2 Explain the importance of context in prompt success and result consistency.mp4
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12.5 MB
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003. 4.2 Compare various REST calls from popular GenAI providers.en.srt
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3 KB
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003. 4.2 Compare various REST calls from popular GenAI providers.mp4
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8.5 MB
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003. 5.2 Install and configure LangChain4j in a Java project using GradleMaven.en.srt
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1 KB
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003. 5.2 Install and configure LangChain4j in a Java project using GradleMaven.mp4
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2.7 MB
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003. 6.2 Create reusable prompt templates using LangChain4j.en.srt
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3.9 KB
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003. 6.2 Create reusable prompt templates using LangChain4j.mp4
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13.5 MB
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003. 7.2 Identify the roles of System, User, and Assistant messages with a chatbot.en.srt
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1.1 KB
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003. 7.2 Identify the roles of System, User, and Assistant messages with a chatbot.mp4
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3.4 MB
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003. 8.2 Explain the motivation and architecture behind RAG.en.srt
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9.9 KB
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003. 8.2 Explain the motivation and architecture behind RAG.mp4
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23.2 MB
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003. 9.2 Define embeddings and their mathematical representation.en.srt
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7.8 KB
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003. 9.2 Define embeddings and their mathematical representation.mp4
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19.6 MB
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004. 1.3 Identify common patterns used in software development.en.srt
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3.5 KB
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004. 1.3 Identify common patterns used in software development.mp4
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11.3 MB
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004. 10.3 Understand the importance of a chunking strategy.en.srt
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5.1 KB
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004. 10.3 Understand the importance of a chunking strategy.mp4
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12.7 MB
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004. 11.3 Demonstrate Tool use with AiService.en.srt
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15.3 KB
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004. 11.3 Demonstrate Tool use with AiService.mp4
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40.2 MB
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004. 12.3 Reflect on where GenAI best fits into Java development workflows.en.srt
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1.3 KB
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004. 12.3 Reflect on where GenAI best fits into Java development workflows.mp4
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4.1 MB
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004. 2.3 Define basic GenAI terminology.en.srt
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5.7 KB
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004. 2.3 Define basic GenAI terminology.mp4
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15.5 MB
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004. 3.3 Explain Context Window and the stateless nature of an LLM connection.en.srt
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1.8 KB
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004. 3.3 Explain Context Window and the stateless nature of an LLM connection.mp4
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3.7 MB
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004. 4.3 Demonstrate REST calls and message components.en.srt
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3.2 KB
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004. 4.3 Demonstrate REST calls and message components.mp4
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11.3 MB
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004. 5.3 Demonstrate how to send UserMessages and SystemMessages to an LLM.en.srt
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5.9 KB
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004. 5.3 Demonstrate how to send UserMessages and SystemMessages to an LLM.mp4
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21.7 MB
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004. 6.3 Demonstrate dynamic prompt composition using Java variables.en.srt
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9.1 KB
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004. 6.3 Demonstrate dynamic prompt composition using Java variables.mp4
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44.7 MB
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004. 7.3 Explain the use of LangChain4j s AiService.en.srt
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13.7 KB
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004. 7.3 Explain the use of LangChain4j s AiService.mp4
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40.6 MB
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004. 8.3 Illustrate the document retrieval and injection pipeline.en.srt
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7.6 KB
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004. 8.3 Illustrate the document retrieval and injection pipeline.mp4
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24.1 MB
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004. 9.3 Compare 2d, 3d, and N-d embeddings.en.srt
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5.7 KB
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004. 9.3 Compare 2d, 3d, and N-d embeddings.mp4
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15.9 MB
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005. 10.4 Describe LangChain4j's EmbeddingStore and Data Ingestion architecture.en.srt
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3.7 KB
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005. 10.4 Describe LangChain4j's EmbeddingStore and Data Ingestion architecture.mp4
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MP4
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11.4 MB
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005. 11.4 Define what an Agent is.en.srt
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7.2 KB
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005. 11.4 Define what an Agent is.mp4
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15.1 MB
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005. 12.4 Identify advanced areas for deeper study.en.srt
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2.8 KB
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005. 12.4 Identify advanced areas for deeper study.mp4
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7.4 MB
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005. 2.4 Describe the training process and the stochastic nature of GenAI models.en.srt
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1.7 KB
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005. 2.4 Describe the training process and the stochastic nature of GenAI models.mp4
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5.8 MB
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005. 3.4 Compare various message roles - System, User, and Assistant.en.srt
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4.2 KB
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005. 3.4 Compare various message roles - System, User, and Assistant.mp4
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MP4
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10.8 MB
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005. 4.4 Explain the history of LangChain4j.en.srt
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1.9 KB
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005. 4.4 Explain the history of LangChain4j.mp4
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7 MB
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005. 5.4 Implement a basic chatbot with prompt context.en.srt
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2.1 KB
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005. 5.4 Implement a basic chatbot with prompt context.mp4
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MP4
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9.2 MB
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005. 6.4 Identify the advantages and disadvantages of prompt templates.en.srt
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2.9 KB
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005. 6.4 Identify the advantages and disadvantages of prompt templates.mp4
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9.8 MB
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005. 7.4 Assess chatbot context and costs.en.srt
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2.7 KB
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005. 7.4 Assess chatbot context and costs.mp4
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6.8 MB
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005. 8.4 Identify the advantages of a RAG-based system.en.srt
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2.3 KB
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005. 8.4 Identify the advantages of a RAG-based system.mp4
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5.3 MB
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005. 9.4 Demonstrate how to generate a text embedding.en.srt
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2.3 KB
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005. 9.4 Demonstrate how to generate a text embedding.mp4
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14.3 MB
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006. 10.5 Construct an index and search over it using embedding similarity.en.srt
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13.8 KB
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006. 10.5 Construct an index and search over it using embedding similarity.mp4
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MP4
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59.8 MB
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006. 11.5 Describe current frameworks and the state of the art of Agents.en.srt
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1.4 KB
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006. 11.5 Describe current frameworks and the state of the art of Agents.mp4
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3.9 MB
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006. 2.5 Compare traditional deterministic programming to probabilistic GenAI models.en.srt
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4.2 KB
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006. 2.5 Compare traditional deterministic programming to probabilistic GenAI models.mp4
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8.7 MB
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006. 3.5 Describe a useful abstraction for context.en.srt
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6 KB
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006. 3.5 Describe a useful abstraction for context.mp4
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15.2 MB
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006. 4.5 Identify why an abstract API is useful for Java developers.en.srt
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716.8 B
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006. 4.5 Identify why an abstract API is useful for Java developers.mp4
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2.4 MB
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006. 5.5 Demonstrate incorporating external data as context for the chatbot.en.srt
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2.5 KB
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006. 5.5 Demonstrate incorporating external data as context for the chatbot.mp4
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14 MB
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006. 7.5 Demonstrate a chatbot that maintains conversational context.en.srt
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1.8 KB
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006. 7.5 Demonstrate a chatbot that maintains conversational context.mp4
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9.6 MB
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006. 8.5 Identify potential issues and failure modes of retrieval-based systems.en.srt
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4.8 KB
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006. 8.5 Identify potential issues and failure modes of retrieval-based systems.mp4
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16.1 MB
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006. 9.5 Describe LangChain4j s EmbeddingModel.en.srt
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2.1 KB
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006. 9.5 Describe LangChain4j s EmbeddingModel.mp4
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7 MB
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007. 4.6 Demonstrate simple LangChain4j examples.en.srt
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5.8 KB
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007. 4.6 Demonstrate simple LangChain4j examples.mp4
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MP4
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20.3 MB
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007. 5.6 Apply memory to retain conversation state.en.srt
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4.8 KB
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007. 5.6 Apply memory to retain conversation state.mp4
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MP4
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11.8 MB
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007. 9.6 Compute similarity between vectors to rank text relevance.en.srt
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9.4 KB
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007. 9.6 Compute similarity between vectors to rank text relevance.mp4
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MP4
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24.5 MB
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008. 5.7 Implement a basic chatbot using ChatMemory.en.srt
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6.6 KB
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008. 5.7 Implement a basic chatbot using ChatMemory.mp4
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MP4
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18.7 MB
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Bonus Resources.txt
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TXT
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102.4 B
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Get Bonus Downloads Here.url
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URL
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204.8 B
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