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Udemy From Java Dev to AI Engineer Spring AI Fast Track

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Type: Tutorials
Language: English
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Size: 3.1 GB
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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1 -Course Introduction.mp4 177.4 MB
  3. 10 -Working with Multiple Chat Models in Spring AI.mp4 91.1 MB
  4. 2 -What is Spring AI Framework.mp4 51.9 MB
  5. 3 -Hello World Spring AI app with OpenAI - Part 1.mp4 91.4 MB
  6. 4 -Hello World Spring AI app with OpenAI - Part 2.mp4 62.6 MB
  7. 5 -Deep dive on ChatModel and ChatClient.mp4 48.2 MB
  8. 6 -Building a “Hello World” App with Spring AI and Ollama.mp4 56.6 MB
  9. 7 -Building a “Hello World” App with Spring AI and Docker.mp4 62.2 MB
  10. 8 -Building a “Hello World” App with Spring AI and AWS Bedrock - Part 1.mp4 104.6 MB
  11. 9 -Building a “Hello World” App with Spring AI and AWS Bedrock - Part 2.mp4 71.7 MB
  12. 1 -Understanding Message Roles in LLMs - Theory.mp4 58.6 MB
  13. 10 -Understanding ChatOptions in Spring AI.mp4 89.1 MB
  14. 11 -Configuring ChatOptions in Spring AI.mp4 59.2 MB
  15. 12 -Spring AI ChatClient – Response Types Explained.mp4 50.7 MB
  16. 13 -Streaming AI Responses in Real-Time using stream() Method.mp4 33.2 MB
  17. 14 -From Text to Types - Mastering Structured Output in Spring AI.mp4 44.7 MB
  18. 15 -From AI Text to Java Objects - Spring AI Structured Output Demo.mp4 66.6 MB
  19. 16 -Using Bean, List, and Map Output Converters in Spring AI.mp4 50.3 MB
  20. 17 -Mapping AI Response to ListPOJO using ParameterizedTypeReference.mp4 40.6 MB
  21. 2 -Understanding Message Roles in LLMs - Demo.mp4 72.8 MB
  22. 3 -What Are Defaults in Spring AI.mp4 90.9 MB
  23. 4 -Using Prompt Templates in Spring AI.mp4 105.6 MB
  24. 5 -Using Prompt Stuffing technique.mp4 84.9 MB
  25. 6 -Why Prompt Stuffing Isn’t Meant for Big Data.mp4 31.8 MB
  26. 7 -Understanding Advisors in Spring AI Workflows.mp4 38.4 MB
  27. 8 -Spring AI Built-in Advisors - Plug and Play Intelligence.mp4 100.8 MB
  28. 9 -Custom Advisors in Spring AI - Make the AI Work Your Way.mp4 87.1 MB
  29. 1 -Tracing the Roots - How We Reached Generative AI.mp4 32.6 MB
  30. 10 -How Embedding Vectors calculated.mp4 92.0 MB
  31. 11 -What are Static Embeddings.mp4 44.5 MB
  32. 12 -Positional Embeddings - How AI Understands Word Order.mp4 32.2 MB
  33. 13 -The Magic of Attention - How AI Understands Context.mp4 76.6 MB
  34. 2 -Meet the Gen AI Family - AI, ML, DL, and Beyond.mp4 99.2 MB
  35. 3 -Funny memes of AI.mp4 26.9 MB
  36. 4 -Types of Generative AI Models.mp4 25.0 MB
  37. 5 -Introduction to Large Language Models - The Text Experts.mp4 88.5 MB
  38. 6 -Core job of an LLM - Guessing next word.mp4 56.0 MB
  39. 7 -The concept of Tokens & Token IDs in LLM.mp4 56.6 MB
  40. 8 -Inside an LLM’s Dictionary - Understanding Model Vocabulary.mp4 59.4 MB
  41. 9 -Embeddings & Vectors - A way to represent meaning.mp4 61.0 MB
  42. 1 -LLMs Don’t Remember You – The Stateless Nature of AI Models.mp4 42.5 MB
  43. 2 -LLMs Forget Everything — ChatMemory to the Rescue!.mp4 71.3 MB
  44. 3 -Making ChatClient ‘Remember’ – Spring AI’s Memory Advisors.mp4 56.2 MB
  45. 4 -From Stateless to Stateful - Spring AI Memory in Action.mp4 71.8 MB
  46. 5 -Per-User Memory in LLMs – Thanks to CONVERSATION_ID!.mp4 40.1 MB
  47. 6 -Chat Memory That Lasts – Spring AI with JDBC-Based Persistence.mp4 105.6 MB
  48. 7 -Using maxMessages to Limit Chat History in Spring AI.mp4 44.2 MB
  49. 8 -Avoiding Token Overload - Use maxMessages with Context Window size in Mind.mp4 66.2 MB
  50. 1 -Thank You & Congratulations.mp4 19.5 MB
  51. Bonus Resources.txt 70 bytes

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