FreeCoursesOnline Me ChatGPT and LangChain The Complete Developers Masterclass

1. 1 - Lets Start Dive In Here/1 - How to Get Help.mp42.21MB
2. 1 - Lets Start Dive In Here/2 - What is LangChain.mp441.33MB
3. 1 - Lets Start Dive In Here/3 - How a Typical AIEnabled App Works.mp471.82MB
4. 1 - Lets Start Dive In Here/4 - Here It Is This is Why We Use LangChain.mp432.86MB
5. 10 - Streaming Text Generation/100 - The Chain Really Wants to Wait.mp411.96MB
6. 10 - Streaming Text Generation/101 - Solving the Slow Chain.mp47.09MB
7. 10 - Streaming Text Generation/102 - It Works.mp418.48MB
8. 10 - Streaming Text Generation/103 - Ending the Loop.mp419.27MB
9. 10 - Streaming Text Generation/93 - Streaming Text Generation.mp410.96MB
10. 10 - Streaming Text Generation/94 - Creating a Working Playground.mp413.06MB
11. 10 - Streaming Text Generation/95 - Experimenting with a Streaming Language Model.mp429.4MB
12. 10 - Streaming Text Generation/96 - Chains Dont Want to Stream.mp428.11MB
13. 10 - Streaming Text Generation/97 - Receiving Chunks with a Callback.mp418.12MB
14. 10 - Streaming Text Generation/98 - Extending a LLM Chain.mp440.79MB
15. 10 - Streaming Text Generation/99 - Adding a Queue for Communication.mp450.68MB
16. 11 - Extending LangChain/104 - Isolating the Queue and Handler.mp416.89MB
17. 11 - Extending LangChain/105 - Using a Mixin Approach.mp417.15MB
18. 11 - Extending LangChain/106 - Integrating the Streaming Code.mp457.18MB
19. 11 - Extending LangChain/107 - Testing the Streaming Setup.mp458.46MB
20. 11 - Extending LangChain/108 - Heres the Issue.mp446.99MB
21. 11 - Extending LangChain/109 - Isolating the Handler.mp427.2MB
22. 11 - Extending LangChain/110 - Streaming Complete.mp493.66MB
23. 12 - SelfImproving Text Generation/111 - Random Component Parts.mp415.28MB
24. 12 - SelfImproving Text Generation/112 - Component Part Flow.mp441.38MB
25. 12 - SelfImproving Text Generation/113 - Partial KWArg Application.mp420.62MB
26. 12 - SelfImproving Text Generation/114 - Building Component Maps.mp421.74MB
27. 12 - SelfImproving Text Generation/115 - Randomly Picking a Component.mp445.24MB
28. 12 - SelfImproving Text Generation/116 - Generalizing Component Picking.mp4118.43MB
29. 12 - SelfImproving Text Generation/117 - Collecting User Feedback.mp419.54MB
30. 12 - SelfImproving Text Generation/118 - Redis Connection Setup.mp430.66MB
31. 12 - SelfImproving Text Generation/119 - Storing Votes in Redis.mp436.89MB
32. 12 - SelfImproving Text Generation/120 - Weighted Randomness.mp431.38MB
33. 12 - SelfImproving Text Generation/121 - Extracting Scores.mp445.71MB
34. 12 - SelfImproving Text Generation/122 - Calculating the Average Score.mp488.79MB
35. 12 - SelfImproving Text Generation/123 - Selecting Components By Score.mp429.31MB
36. 13 - Implementing Tracing and Observability/124 - Adding Score Observability.mp416.2MB
37. 13 - Implementing Tracing and Observability/125 - Building the Score Aggregate.mp431.14MB
38. 13 - Implementing Tracing and Observability/126 - Adding Another Form of Memory.mp418.95MB
39. 13 - Implementing Tracing and Observability/127 - Window Memory Implementation.mp461.65MB
40. 13 - Implementing Tracing and Observability/128 - Text Generation Tracing.mp414.34MB
41. 13 - Implementing Tracing and Observability/129 - Langfuse Signup.mp412.19MB
42. 13 - Implementing Tracing and Observability/130 - Adding in Tracing.mp444.51MB
43. 13 - Implementing Tracing and Observability/131 - Understanding the Trace.mp435.72MB
44. 13 - Implementing Tracing and Observability/132 - Automatic Trace Creation.mp4102.3MB
45. 2 - ChatGPT and LangChain Integration/10 - Using LangChain the Simple Way.mp47.56MB
46. 2 - ChatGPT and LangChain Integration/11 - Introducing Chains.mp452.43MB
47. 2 - ChatGPT and LangChain Integration/12 - Adding a Chain.mp425.8MB
48. 2 - ChatGPT and LangChain Integration/13 - Parsing Command Line Arguments.mp47.92MB
49. 2 - ChatGPT and LangChain Integration/14 - Securing the API Key.mp415.63MB
50. 2 - ChatGPT and LangChain Integration/15 - Connecting Chains Together.mp49.67MB
51. 2 - ChatGPT and LangChain Integration/16 - Chains in Series with SequentialChain.mp450.23MB
52. 2 - ChatGPT and LangChain Integration/8 - Project Overview and Setup.mp47.45MB
53. 3 - Deep Dive into Interactions with Memory Management/17 - App Overview.mp47.79MB
54. 3 - Deep Dive into Interactions with Memory Management/18 - Receiving User Input.mp43.87MB
55. 3 - Deep Dive into Interactions with Memory Management/19 - Chat vs Completion Style Models.mp430.74MB
56. 3 - Deep Dive into Interactions with Memory Management/20 - Representing Messages with ChatPromptTemplates.mp415.93MB
57. 3 - Deep Dive into Interactions with Memory Management/21 - Implementing a Chat Chain.mp418.77MB
58. 3 - Deep Dive into Interactions with Memory Management/22 - Understanding Memory.mp435.71MB
59. 3 - Deep Dive into Interactions with Memory Management/23 - Using ChatBufferMemory to Store Conversations.mp431.84MB
60. 3 - Deep Dive into Interactions with Memory Management/24 - Saving and Extending Conversations.mp434.81MB
61. 3 - Deep Dive into Interactions with Memory Management/25 - Summarizations Conversation Summary Memory.mp459.72MB
62. 4 - Adding Context with Embedding Techniques/26 - Project Overview.mp412.66MB
63. 4 - Adding Context with Embedding Techniques/28 - Project Setup.mp44.18MB
64. 4 - Adding Context with Embedding Techniques/29 - Loading Files with Document Loaders.mp437.85MB
65. 4 - Adding Context with Embedding Techniques/30 - Search Criteria.mp419.15MB
66. 4 - Adding Context with Embedding Techniques/31 - Introducing Embeddings.mp443.78MB
67. 4 - Adding Context with Embedding Techniques/32 - The Entire Embedding Flow.mp413.9MB
68. 4 - Adding Context with Embedding Techniques/33 - Chunking Text.mp481.33MB
69. 4 - Adding Context with Embedding Techniques/35 - Generating Embeddings.mp422.99MB
70. 5 - Custom Document Retrievers/36 - Introducing ChromaDB.mp472.08MB
71. 5 - Custom Document Retrievers/37 - Building a Retrieval Chain.mp467.17MB
72. 5 - Custom Document Retrievers/38 - What is a Retriever.mp417.9MB
73. 5 - Custom Document Retrievers/39 - Optional Understanding Refine MapReduce and MapRerank.mp4316.13MB
74. 5 - Custom Document Retrievers/40 - Removing Duplicate Documents.mp440.21MB
75. 5 - Custom Document Retrievers/41 - Creating a Custom Retriever.mp484.96MB
76. 5 - Custom Document Retrievers/42 - Custom Retriever in Action.mp474.07MB
77. 5 - Custom Document Retrievers/44 - Visualizing Embeddings.mp430.41MB
78. 6 - Empower ChatGPT with Tools and Agents/45 - App Overview.mp48.9MB
79. 6 - Empower ChatGPT with Tools and Agents/46 - Understanding Tools.mp436.99MB
80. 6 - Empower ChatGPT with Tools and Agents/47 - Understanding ChatGPT Functions.mp438.08MB
81. 6 - Empower ChatGPT with Tools and Agents/49 - Defining a Tool.mp422.92MB
82. 6 - Empower ChatGPT with Tools and Agents/50 - Defining an Agent and AgentExecutor.mp417.23MB
83. 6 - Empower ChatGPT with Tools and Agents/51 - Understanding Agents and AgentExecutors.mp444.55MB
84. 6 - Empower ChatGPT with Tools and Agents/52 - Shortcomings in ChatGPTs Assumptions.mp429.17MB
85. 6 - Empower ChatGPT with Tools and Agents/53 - Recovering from Errors in Tools.mp421.88MB
86. 6 - Empower ChatGPT with Tools and Agents/54 - Adding Table Context.mp470.21MB
87. 6 - Empower ChatGPT with Tools and Agents/55 - Adding a Table Description Tool.mp434.25MB
88. 6 - Empower ChatGPT with Tools and Agents/56 - Being Direct with System Messages.mp411.58MB
89. 6 - Empower ChatGPT with Tools and Agents/57 - Adding Better Descriptions for Tool Arguments.mp471.86MB
90. 6 - Empower ChatGPT with Tools and Agents/58 - Tools with Multiple Arguments.mp468.46MB
91. 6 - Empower ChatGPT with Tools and Agents/59 - Memory vs Agent Scratchpad.mp464.62MB
92. 6 - Empower ChatGPT with Tools and Agents/60 - Preserving Messages with Agent Executor.mp425.67MB
93. 6 - Empower ChatGPT with Tools and Agents/61 - Understanding Callbacks.mp434.59MB
94. 6 - Empower ChatGPT with Tools and Agents/62 - Implementing a Basic Callback Handler.mp457.93MB
95. 6 - Empower ChatGPT with Tools and Agents/63 - More Handler Implementaion.mp4105.66MB
96. 7 - Pinecone as a Vector Database/64 - App Overview.mp49.04MB
97. 7 - Pinecone as a Vector Database/65 - Taking a Look at Mockups.mp416.35MB
98. 7 - Pinecone as a Vector Database/67 - Boilerplate Setup.mp423.54MB
99. 7 - Pinecone as a Vector Database/68 - How This App is Designed.mp442.48MB
100. 7 - Pinecone as a Vector Database/69 - Outlining the First Feature.mp417.96MB
101. 7 - Pinecone as a Vector Database/70 - Loading and Splitting From a PDF.mp424.82MB
102. 7 - Pinecone as a Vector Database/73 - Testing the PDF Upload.mp419.23MB
103. 7 - Pinecone as a Vector Database/74 - Introducing Pinecone.mp433.93MB
104. 7 - Pinecone as a Vector Database/75 - Initializing the Pinecone Client.mp415.78MB
105. 7 - Pinecone as a Vector Database/76 - Adding Documents to the Vector Store.mp427.46MB
106. 8 - Distributed Text Generation with Celery/77 - Why is Processing Taking Forever.mp431.79MB
107. 8 - Distributed Text Generation with Celery/78 - Introducing Background Jobs.mp437.97MB
108. 8 - Distributed Text Generation with Celery/79 - Redis Setup.mp44.38MB
109. 8 - Distributed Text Generation with Celery/83 - Adding in the Worker.mp427.29MB
110. 8 - Distributed Text Generation with Celery/84 - Queuing Up Jobs.mp416.93MB
111. 8 - Distributed Text Generation with Celery/85 - Updating Document Metadata.mp457.52MB
112. 9 - Custom Message Histories/86 - Understanding the Apps Requirements.mp438.65MB
113. 9 - Custom Message Histories/87 - Persistent Message Storage.mp472.45MB
114. 9 - Custom Message Histories/88 - Introducing the Conversational Retrieval Chain.mp479.96MB
115. 9 - Custom Message Histories/89 - Building the Retriever.mp430.83MB
116. 9 - Custom Message Histories/90 - Custom History Objects.mp418.59MB
117. 9 - Custom Message Histories/91 - Building a Custom SQL History.mp429.37MB
118. 9 - Custom Message Histories/92 - Testing the Chain.mp441.66MB