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LangChain Guide Next Gen ChatGPT LLMs apps with LangChain

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Files:
  1. 2. Practical Lab ChatGPT training with complete inforPDF.mp4 79.9 MB
  2. TutsNode.net.txt 63 bytes
  3. [TGx]Downloaded from torrentgalaxy.to .txt 585 bytes
  4. 0 66.4 KB
  5. 1. Introduction.mp4 77.9 MB
  6. 1 131.3 KB
  7. 1. Introduction to Generative AI and its applications ChatGPT, DALLE.mp4 75.3 MB
  8. 2 154.5 KB
  9. 4. Practical Lab (II) Chaining Prompts with LangCha Chains.mp4 67.3 MB
  10. 3 195.2 KB
  11. 4. Alpaca model fundamentals.mp4 52.3 MB
  12. 4 225.7 KB
  13. 2. Open AI API.mp4 50.1 MB
  14. 5 360.3 KB
  15. 2. Different open-source LLM models and comparative analysis.mp4 48.4 MB
  16. 6 78.3 KB
  17. 3. Practical Lab Integration of agents in ChatGPT.mp4 45.6 MB
  18. 7 451.0 KB
  19. 3. Hugging Face Fundamentals.mp4 44.3 MB
  20. 8 180.5 KB
  21. 5. Fundamentals of the Vicuña model.mp4 43.6 MB
  22. 9 364.0 KB
  23. 3. Practical Lab Chaining of Prompts with LangChain Chains.mp4 42.9 MB
  24. 10 152.1 KB
  25. 5. Open source LLM models.mp4 39.2 MB
  26. 11 290.8 KB
  27. 2. Different LangChain model types and requirements.mp4 36.7 MB
  28. 12 311.7 KB
  29. 4. LangChain Fundamentals.mp4 33.7 MB
  30. 13 256.6 KB
  31. 2. Hands-on Lab Programming the Wikipedia, Google, and Google agent.mp4 31.8 MB
  32. 14 166.8 KB
  33. 6. Koala model fundamentals.mp4 31.3 MB
  34. 15 252.6 KB
  35. 1. Programming WorkFlows in LangChain.mp4 30.6 MB
  36. 16 393.0 KB
  37. 1. Introduction to Language Models.mp4 27.5 MB
  38. 17 268 bytes
  39. 3. Types of Language Models.mp4 27.0 MB
  40. 18 463.5 KB
  41. 3. Fundamentals of the Llama model.mp4 26.7 MB
  42. 19 323.9 KB
  43. 1. Benefits of open-source LLM models.mp4 26.5 MB
  44. 20 35.0 KB
  45. 2. What are Language Models.mp4 23.3 MB
  46. 21 249.9 KB
  47. 1. Introduction to LangChain.mp4 22.3 MB
  48. 22 232.8 KB
  49. 5. Variational Auto Encoders and latent space.mp4 21.0 MB
  50. 23 44.0 KB
  51. 3. Vector Databases, Plugins and Vector Libraries.mp4 20.7 MB
  52. 24 330.7 KB
  53. 6. Challenges of Generative AI.mp4 19.5 MB
  54. 25 508.4 KB
  55. 3. LLM input management with LangChain's Prompts Module.mp4 18.8 MB
  56. 26 183.1 KB
  57. 1. Introduction to LangChain indexes.mp4 18.7 MB
  58. 27 341.6 KB
  59. 1. Introduction to LangChain agents.mp4 18.4 MB
  60. 28 102.8 KB
  61. 4. Combination of LLM with other components through chains.mp4 16.8 MB
  62. 29 209.5 KB
  63. 4. Models based on Transformers.mp4 15.9 MB
  64. 30 77.4 KB
  65. 2. Characteristics of vector databases.mp4 15.8 MB
  66. 31 190.4 KB
  67. 1. Introduction to vector databases and importance for LLMs.mp4 14.6 MB
  68. 32 395.1 KB
  69. 3. GANs Generative Adversarial Networks.mp4 14.4 MB
  70. 33 77.6 KB
  71. 1. Tools for working with LLMs and NLP.mp4 13.7 MB
  72. 34 287.6 KB
  73. 2. Discriminative vs. generative models.mp4 13.0 MB
  74. 35 486.3 KB
  75. 5. Providing access to external data through LangChain Indexes.mp4 12.9 MB
  76. 36 118.3 KB
  77. 4. Vector search strategies and similarity metrics.mp4 11.1 MB
  78. 37 398.9 KB
  79. 6. Giving the ability to memorize ChatGPT through Memor LangChain.mp4 11.1 MB
  80. 38 445.5 KB
  81. 7. Providing access to tools through LangChain's Agents module.mp4 10.2 MB
  82. 39 324.2 KB
  83. 2. Linking multiple LLMs with LangChain.mp4 9.7 MB

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