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The Complete Generative AI and Python Programming Bootcamp

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The Complete Generative AI and Python Programming Bootcamp

文件列表
  1. 01. Getting Started with Python & Generative AI/1. Welcome to the Python Programming & Generative AI Bootcamp.mp441.35MB
  2. 02. Setting Up Your Python Environment/1. Types of Python Installations.mp48.95MB
  3. 02. Setting Up Your Python Environment/2. How to Run Python Code in Colab (Cloud IDE).mp429.29MB
  4. 02. Setting Up Your Python Environment/3. How to Install Python on Windows.mp423.44MB
  5. 02. Setting Up Your Python Environment/5. Setting Up PyCharm on Windows.mp421.05MB
  6. 02. Setting Up Your Python Environment/7. How to Write and Run Python Code in PyCharm.mp434.86MB
  7. 03. Python Basics/1. Python Variables.mp416.47MB
  8. 03. Python Basics/2. Naming Conventions (PEP 8).mp458.35MB
  9. 03. Python Basics/4. Comments in Python.mp415.13MB
  10. 03. Python Basics/6. Python's Built-in Data Types.mp430.69MB
  11. 03. Python Basics/7. Dynamic vs. Static Typing.mp430.14MB
  12. 03. Python Basics/8. 02_06_numbers_and_math_operators.mp418.92MB
  13. 03. Python Basics/8. Numbers and Math Operators.mp416.8MB
  14. 03. Python Basics/10. Key Python Operators Comparison, Assignment, and Identity Operators.mp423.53MB
  15. 04. Essential Python Data Structures/1. String Basics.mp429.71MB
  16. 04. Essential Python Data Structures/2. Getting User Input and Type Conversion.mp422.14MB
  17. 04. Essential Python Data Structures/4. Core String Operations Indexing, Slicing, Concatenating.mp431.26MB
  18. 04. Essential Python Data Structures/6. Common String Methods - Part 1.mp424.96MB
  19. 04. Essential Python Data Structures/7. Common String Methods - Part 2.mp421.57MB
  20. 04. Essential Python Data Structures/9. Formatted Strings Using F-strings for Clean Output.mp414.61MB
  21. 04. Essential Python Data Structures/10. F-strings with = for Debugging.mp414.69MB
  22. 04. Essential Python Data Structures/13. List Basics.mp428.17MB
  23. 04. Essential Python Data Structures/14. List Operations Concatenation, Slicing.mp419.1MB
  24. 04. Essential Python Data Structures/16. List Operations Iteration.mp424.24MB
  25. 04. Essential Python Data Structures/17. Essential List Methods - Part 1.mp425.15MB
  26. 04. Essential Python Data Structures/18. Essential List Methods - Part 2.mp413.82MB
  27. 04. Essential Python Data Structures/20. List Comprehensions Efficiently Creating and Modifying Lists.mp430.52MB
  28. 04. Essential Python Data Structures/23. Tuple Basics.mp422.9MB
  29. 04. Essential Python Data Structures/24. Tuple Operations Indexing and Unpacking.mp417.73MB
  30. 04. Essential Python Data Structures/26. Set Basics.mp417.94MB
  31. 04. Essential Python Data Structures/27. Common Set Operations.mp412.85MB
  32. 04. Essential Python Data Structures/29. Dictionary Basics.mp439.39MB
  33. 04. Essential Python Data Structures/31. Dictionary Operations Accessing, Updating, .get(), .keys(), and .values().mp432.6MB
  34. 04. Essential Python Data Structures/32. Removing Items from a Dictionary.mp412.36MB
  35. 04. Essential Python Data Structures/33. Set Operations and Iterating over Dictionaries.mp412.18MB
  36. 04. Essential Python Data Structures/34. Dictionary Merge and Update Operators.mp413.87MB
  37. 04. Essential Python Data Structures/35. Dictionary Comprehensions.mp427.67MB
  38. 04. Essential Python Data Structures/39. See the Bigger Picture.mp412.26MB
  39. 05. Program Flow Control and Loops/1. Conditional Statements and Indentation.mp432.53MB
  40. 05. Program Flow Control and Loops/3. Boolean Variables.mp425.41MB
  41. 05. Program Flow Control and Loops/4. Logical Operators and, or, not.mp434.96MB
  42. 05. Program Flow Control and Loops/5. Short-circuit Evaluation.mp413.04MB
  43. 05. Program Flow Control and Loops/7. For Loops.mp422.05MB
  44. 05. Program Flow Control and Loops/8. Ranges.mp411.45MB
  45. 05. Program Flow Control and Loops/10. While Loops.mp413.36MB
  46. 05. Program Flow Control and Loops/12. Smart Looping Techniques continue and pass.mp422.26MB
  47. 05. Program Flow Control and Loops/13. Smart Looping Techniques break.mp442.07MB
  48. 05. Program Flow Control and Loops/16. Debugging Your Code.mp421.15MB
  49. 06. Functions and Lambda Expressions/1. Introduction to Functions and Docstrings.mp441.95MB
  50. 06. Functions and Lambda Expressions/2. The return Statement.mp415.79MB
  51. 06. Functions and Lambda Expressions/4. Function Arguments Positional, Keyword.mp419.32MB
  52. 06. Functions and Lambda Expressions/5. Default Arguments.mp418.87MB
  53. 06. Functions and Lambda Expressions/6. Positional-Only Parameters in Python.mp417.99MB
  54. 06. Functions and Lambda Expressions/7. Variable-Length Arguments args.mp411.03MB
  55. 06. Functions and Lambda Expressions/8. Variable-Length Arguments kwargs.mp48.6MB
  56. 06. Functions and Lambda Expressions/10. Dict Packing and Unpacking.mp422.79MB
  57. 06. Functions and Lambda Expressions/11. Variable Scope and Namespaces.mp421.1MB
  58. 06. Functions and Lambda Expressions/12. Global vs Local Scopes and Common Pitfalls.mp415.58MB
  59. 06. Functions and Lambda Expressions/14. Lambda Expressions.mp438.99MB
  60. 07. Working with Files and Data/1. Reading Text Files in Python.mp416.38MB
  61. 07. Working with Files and Data/2. Working With Absolute and Relative File Paths.mp458.19MB
  62. 07. Working with Files and Data/3. Reading Files Tell, Seek and Cursors.mp421.66MB
  63. 07. Working with Files and Data/4. The with Statement.mp410.98MB
  64. 07. Working with Files and Data/5. Reading Files into a List.mp422.78MB
  65. 07. Working with Files and Data/7. Writing Text Files in Python.mp448.7MB
  66. 07. Working with Files and Data/9. Project File Processing.mp430.61MB
  67. 07. Working with Files and Data/11. Reading CSV Files in Python.mp441.97MB
  68. 07. Working with Files and Data/12. Project Finding Peak Model Usage.mp448.13MB
  69. 07. Working with Files and Data/13. Writing CSV Files in Python.mp419.13MB
  70. 07. Working with Files and Data/16. JSON Handling for Structured Data.mp423.19MB
  71. 07. Working with Files and Data/17. Parsing JSON from API Responses.mp435.51MB
  72. 07. Working with Files and Data/19. Project Making a Request to OpenAI.mp452.29MB
  73. 08. Regular Expressions for Text Processing/1. Introduction to Regular Expressions (Regex).mp416.04MB
  74. 08. Regular Expressions for Text Processing/2. Using Anchors and Grouping.mp432.66MB
  75. 08. Regular Expressions for Text Processing/3. Range Expressions (Character Classes).mp432.56MB
  76. 08. Regular Expressions for Text Processing/4. Non-Greedy Matching.mp411.63MB
  77. 08. Regular Expressions for Text Processing/5. Substitutions and Data Cleaning with re.sub.mp426.65MB
  78. 08. Regular Expressions for Text Processing/6. Processing Files and Splitting Strings.mp422.43MB
  79. 09. Errors, Exception Handling, and Debugging/1. Introduction to Exception Handling.mp442.97MB
  80. 09. Errors, Exception Handling, and Debugging/2. Mastering Exception Handling Try...Except...Else...Finally.mp431.41MB
  81. 09. Errors, Exception Handling, and Debugging/3. Built-in Exceptions and Best Practices.mp467.01MB
  82. 09. Errors, Exception Handling, and Debugging/5. Project Check Network Connections.mp452.36MB
  83. 10. Object-Oriented Programming (OOP) Essentials/1. Intro to Object-Oriented Programming (OOP).mp424.15MB
  84. 10. Object-Oriented Programming (OOP) Essentials/2. OOP Demonstration The Turtle.mp494.93MB
  85. 10. Object-Oriented Programming (OOP) Essentials/3. Defining Classes and Objects.mp47.88MB
  86. 10. Object-Oriented Programming (OOP) Essentials/4. The __init__ Method.mp423.92MB
  87. 10. Object-Oriented Programming (OOP) Essentials/5. The __del__ Method.mp410.87MB
  88. 10. Object-Oriented Programming (OOP) Essentials/7. Instance Attributes and Class Attributes.mp422.31MB
  89. 10. Object-Oriented Programming (OOP) Essentials/8. Magic Methods.mp467.11MB
  90. 10. Object-Oriented Programming (OOP) Essentials/10. Project Creating a Practical Class for GenAI.mp448.05MB
  91. 10. Object-Oriented Programming (OOP) Essentials/11. TypedDict - Part 1.mp436.12MB
  92. 10. Object-Oriented Programming (OOP) Essentials/12. TypedDict - Part 2.mp415.04MB
  93. 11. Important Milestones/1. Important Milestone Congratulations!.mp437.3MB
  94. 12. Python Modules/1. Understanding Python Modules.mp419.27MB
  95. 12. Python Modules/2. The OS Module.mp462.11MB
  96. 12. Python Modules/3. Advanced Import Techniques and Best Practices.mp412.59MB
  97. 12. Python Modules/4. Using __name__ == '__main__' for Modular and Reusable Code.mp422.11MB
  98. 12. Python Modules/5. Mastering Python Package Management with pip.mp438.24MB
  99. 13. Jupyter Notebook, Google Colab and Virtual Environments/1. Setting Up Jupyter Notebook and Virtual Environments with venv.mp4102.53MB
  100. 13. Jupyter Notebook, Google Colab and Virtual Environments/2. Using Jupyter Notebook.mp437.4MB
  101. 13. Jupyter Notebook, Google Colab and Virtual Environments/3. Using Virtual Environments in PyCharm and VSCode.mp438.88MB
  102. 14. Essential Python Libraries for GenAI Requests & Pandas/1. Getting Started with the requests and httpx Libraries in Python.mp431.43MB
  103. 14. Essential Python Libraries for GenAI Requests & Pandas/2. Handling HTTP Errors.mp432.94MB
  104. 14. Essential Python Libraries for GenAI Requests & Pandas/3. Managing HTTP Authentication and Headers (OpenAI API).mp476.7MB
  105. 14. Essential Python Libraries for GenAI Requests & Pandas/4. Setting Up the Environment Jupyter Notebook and Pandas.mp454.12MB
  106. 14. Essential Python Libraries for GenAI Requests & Pandas/5. Introduction to Pandas Series and DataFrames.mp419.2MB
  107. 14. Essential Python Libraries for GenAI Requests & Pandas/6. Importing and Exporting Data Working with CSV Files.mp438.66MB
  108. 14. Essential Python Libraries for GenAI Requests & Pandas/7. Exporting Data to Different Formats Excel, JSON, SQL, YAML.mp457.46MB
  109. 14. Essential Python Libraries for GenAI Requests & Pandas/8. Modifying Data Adding and Dropping Columns and Rows.mp416.1MB
  110. 14. Essential Python Libraries for GenAI Requests & Pandas/9. Accessing Data Using df.iloc and df.loc.mp418.13MB
  111. 14. Essential Python Libraries for GenAI Requests & Pandas/10. Sampling and Previewing Data Using df.sample() and df.head().mp435.02MB
  112. 14. Essential Python Libraries for GenAI Requests & Pandas/11. Filtering Data Masks and pandas.Series.between().mp423.86MB
  113. 14. Essential Python Libraries for GenAI Requests & Pandas/12. Sorting Data Understanding Pandas Sorting Methods.mp428.15MB
  114. 14. Essential Python Libraries for GenAI Requests & Pandas/13. Handling Missing Data.mp421.22MB
  115. 14. Essential Python Libraries for GenAI Requests & Pandas/14. Aggregations and Grouping Data.mp419.18MB
  116. 14. Essential Python Libraries for GenAI Requests & Pandas/15. Project Analyzing Website Traffic Data.mp415.93MB
  117. 14. Essential Python Libraries for GenAI Requests & Pandas/16. Time Series Data Manipulation in Pandas.mp424.7MB
  118. 15. Introduction to LLMs, APIs and GenAI Libraries/1. Section Overview.mp437.26MB
  119. 15. Introduction to LLMs, APIs and GenAI Libraries/2. Foundations of LLMs and GenAI.mp472.51MB
  120. 15. Introduction to LLMs, APIs and GenAI Libraries/3. Tokens, Context Windows and Cost.mp422.58MB
  121. 15. Introduction to LLMs, APIs and GenAI Libraries/4. Exploring LLM APIs AI as a Service.mp492.14MB
  122. 15. Introduction to LLMs, APIs and GenAI Libraries/5. OpenAI Playground, Google AI Studio, and Anthropic Workbench.mp445.11MB
  123. 15. Introduction to LLMs, APIs and GenAI Libraries/6. Challenges and Limitations of LLMs.mp436.67MB
  124. 15. Introduction to LLMs, APIs and GenAI Libraries/7. The State of AI Present and Future – The Good and the Bad.mp493.55MB
  125. 16. Diving into OpenAI API with Python/1. Authenticating to OpenAI using Python Dotenv.mp491.89MB
  126. 16. Diving into OpenAI API with Python/2. Chat Completions Endpoint.mp465.88MB
  127. 16. Diving into OpenAI API with Python/3. The Developer Message.mp445.14MB
  128. 16. Diving into OpenAI API with Python/4. Streaming API Responses.mp460.69MB
  129. 16. Diving into OpenAI API with Python/5. Using Local Base64 Images as Input.mp469.79MB
  130. 16. Diving into OpenAI API with Python/6. Using Online Images as Input.mp416.72MB
  131. 16. Diving into OpenAI API with Python/7. Chat Completions API Parameters Temperature and Seed.mp470.7MB
  132. 16. Diving into OpenAI API with Python/8. Chat Completions API Parameters top_p, max_tokens, frequency penalty.mp4111.56MB
  133. 16. Diving into OpenAI API with Python/9. AI That Thinks Diving into OpenAI’s Reasoning Models (o1 and o3).mp468.43MB
  134. 16. Diving into OpenAI API with Python/10. Best Practices for Prompting Reasoning Models.mp451.4MB
  135. 16. Diving into OpenAI API with Python/11. Transcriptions with Whisper.mp486.62MB
  136. 16. Diving into OpenAI API with Python/12. Translations with Whisper.mp431.61MB
  137. 16. Diving into OpenAI API with Python/13. Text-to-Speech (TTS) API.mp440.75MB
  138. 16. Diving into OpenAI API with Python/14. Generating Original Images Using DALL-E 3.mp4132.59MB
  139. 17. Prompt Engineering for GenAI/1. Introduction to Prompt Engineering.mp421.8MB
  140. 17. Prompt Engineering for GenAI/2. Tactic #1 Position Instructions Clearly Using Delimiters.mp434.56MB
  141. 17. Prompt Engineering for GenAI/3. Tactic #2 Provide Detailed Instructions for Context, Outcome, or Length.mp493.9MB
  142. 17. Prompt Engineering for GenAI/4. Tactic #3 Use the RTF (Role-Task-Format) Structure.mp482.21MB
  143. 17. Prompt Engineering for GenAI/5. Tactic #4 Apply Few-Shot Prompting.mp4101.86MB
  144. 17. Prompt Engineering for GenAI/6. Tactic #5 Specify Steps Required to Complete a Task.mp465.52MB
  145. 17. Prompt Engineering for GenAI/7. Tactic #6 Give Models Time to Think.mp426.99MB
  146. 17. Prompt Engineering for GenAI/8. Other Tactics and Principles for Better Prompting.mp465.91MB
  147. 17. Prompt Engineering for GenAI/9. Avoiding Hallucinations Techniques for Guarding Outputs.mp429.88MB
  148. 17. Prompt Engineering for GenAI/10. Summary of Prompt Engineering.mp49.79MB
  149. 18. Diving into Google’s Gemini/1. Setting Up the Python SDK and Authenticating for Gemini API.mp486.98MB
  150. 18. Diving into Google’s Gemini/2. Generating Text From Text Prompts.mp448.15MB
  151. 18. Diving into Google’s Gemini/3. Streaming Gemini Responses.mp432.72MB
  152. 18. Diving into Google’s Gemini/4. Generating Text From Images.mp459.93MB
  153. 18. Diving into Google’s Gemini/5. Gemini API Generation Parameters Controlling How the Model Generates Responses.mp467.12MB
  154. 18. Diving into Google’s Gemini/6. Gemini API Generation Parameters Explained.mp488.54MB
  155. 18. Diving into Google’s Gemini/7. Building Chat Conversations.mp486.91MB
  156. 18. Diving into Google’s Gemini/8. Project Building a Conversational Agent Using Gemini.mp454.69MB
  157. 18. Diving into Google’s Gemini/9. System Instructions.mp442.44MB
  158. 18. Diving into Google’s Gemini/10. The File API Prompting with Media Files.mp483.13MB
  159. 18. Diving into Google’s Gemini/11. Tokens in Gemini API.mp466.51MB
  160. 18. Diving into Google’s Gemini/12. The File API Prompting with Audio.mp443.25MB
  161. 19. Diving into LangChain with OpenAI and Gemini/1. LangChain Demo.mp479.62MB
  162. 19. Diving into LangChain with OpenAI and Gemini/2. Introduction to LangChain.mp416.11MB
  163. 19. Diving into LangChain with OpenAI and Gemini/3. Working with the OpenAI Models.mp478.01MB
  164. 19. Diving into LangChain with OpenAI and Gemini/4. Caching LLM Responses.mp421.94MB
  165. 19. Diving into LangChain with OpenAI and Gemini/5. LLM Streaming.mp415.98MB
  166. 19. Diving into LangChain with OpenAI and Gemini/6. Prompt Templates.mp429.61MB
  167. 19. Diving into LangChain with OpenAI and Gemini/7. ChatPrompt Templates.mp451.23MB
  168. 19. Diving into LangChain with OpenAI and Gemini/8. Understanding Chains.mp479.71MB
  169. 19. Diving into LangChain with OpenAI and Gemini/9. Installing the Python SDK and Authenticating to Gemini.mp422.85MB
  170. 19. Diving into LangChain with OpenAI and Gemini/10. Integrating Gemini with LangChain.mp454.69MB
  171. 19. Diving into LangChain with OpenAI and Gemini/11. Using a System Prompt and Enabling Streaming.mp459.06MB
  172. 19. Diving into LangChain with OpenAI and Gemini/12. Multimodal AI Using Images as Input.mp4110.99MB
  173. 19. Diving into LangChain with OpenAI and Gemini/13. LangChain Tools DuckDuckGo and Wikipedia.mp4118.88MB
  174. 19. Diving into LangChain with OpenAI and Gemini/14. Creating a ReAct Agent.mp4114.33MB
  175. 19. Diving into LangChain with OpenAI and Gemini/15. Testing the ReAct Agent.mp467.74MB
  176. 20. Diving into Embeddings/1. Intro to OpenAI's Text Embeddings.mp428.35MB
  177. 20. Diving into Embeddings/2. Generating Simple Embeddings.mp451.84MB
  178. 20. Diving into Embeddings/3. Embedding the Dataset for Similarity Searches.mp452.03MB
  179. 20. Diving into Embeddings/4. Estimating Embedding Costs With Tiktoken.mp421.29MB
  180. 20. Diving into Embeddings/5. Performing Semantic Searches.mp428.44MB
  181. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/1. Project Introduction.mp451.17MB
  182. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/2. Loading Your Custom (Private) PDF Documents.mp453.49MB
  183. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/3. Loading Different Document Formats.mp456.22MB
  184. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/4. Public and Private Service Loaders.mp454.14MB
  185. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/5. Chunking Strategies and Splitting the Documents.mp460.05MB
  186. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/6. Intro to Vector Stores and Authenticating to Pinecone.mp473.87MB
  187. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/7. Working with Pinecone Indexes.mp450.81MB
  188. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/8. Working with Vectors.mp461.95MB
  189. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/9. Pinecone Namespaces.mp432MB
  190. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/10. Embedding and Uploading to a Vector Database (Pinecone).mp4109.67MB
  191. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/11. Asking and Getting Answers.mp4108.67MB
  192. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/12. Using Chroma as a Vector DB.mp488.54MB
  193. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/13. Adding Memory to the RAG System (Chat History).mp489.59MB
  194. 21. Project RAG - Q&A Application on Your Private Documents (Pinecone and Chroma)/14. Using a Custom Prompt.mp489.77MB
  195. 22. Diving into LangGraph/1. LangGraph Concepts and Core Components.mp431.72MB
  196. 22. Diving into LangGraph/2. Building a ChatBot.mp438.27MB
  197. 22. Diving into LangGraph/3. Visualizing the Graph.mp48.62MB
  198. 22. Diving into LangGraph/4. Running the ChatBot.mp47.97MB
  199. 22. Diving into LangGraph/5. Tavily AI.mp4101.37MB
  200. 22. Diving into LangGraph/6. Enhancing the ChatBot with Tools.mp497.9MB
  201. 22. Diving into LangGraph/7. Adding Memory to the ChatBot.mp484.43MB
  202. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/1. Quick Note.mp425.06MB
  203. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/2. The Big Picture.mp442.27MB
  204. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/3. Extracting Data from ArXiv with Pandas.mp4150.37MB
  205. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/4. Downloading Research Papers.mp453.28MB
  206. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/5. Prepping Data Loading, Splitting, and Expanding.mp494.46MB
  207. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/6. Building a Knowledge Base with RAG and Embeddings.mp454.65MB
  208. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/7. Creating a Pinecone Index.mp476.9MB
  209. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/8. Loading the Knowledge Base and Deploying to Pinecone.mp445.84MB
  210. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/9. Building Custom Tools.mp412.83MB
  211. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/10. Implementing the ArXiv Fetch Tool.mp481.48MB
  212. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/11. Unlocking Web Search with Google SerpAPI.mp434.19MB
  213. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/12. Building Google SerpAPI Tools.mp431.55MB
  214. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/13. Crafting RAG Tools.mp449.37MB
  215. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/14. Implementing the Final Answer Generation Tool.mp418.33MB
  216. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/15. Initializing the Oracle LLM.mp474.18MB
  217. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/16. Testing the Ecosystem.mp438.87MB
  218. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/17. Building a Decision-Making Pipeline.mp490.13MB
  219. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/18. Defining the Agent State.mp413.02MB
  220. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/19. Defining the Graph for Decision-Making.mp460.31MB
  221. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/20. Generating Reports.mp494.79MB
  222. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/21. Building the Final Research Report.mp467.03MB
  223. 23. Project Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, SerpAPI/22. Wrapping Up.mp499.18MB
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不会用的朋友看这里 把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！ 亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！

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