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Introduction to Large Language Models LLMs In Python FreeCourseWeb

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Files:
  1. Get Bonus Downloads Here.url 183 bytes
  2. 1. Welcome To the Course.mp4 30.3 MB
  3. 2. Data and Code.html 424 bytes
  4. 3. Python Installation.mp4 42.6 MB
  5. 4. Start With Google Colaboratory Environment.mp4 40.4 MB
  6. 5. Google Colabs and GPU.mp4 30.2 MB
  7. 6. Installing Packages In Google Colab.mp4 28.6 MB
  8. 7. Another Cloud To Work In Saturn Cloud.mp4 48.3 MB
  9. 8. Say Hello To The Saturn Interface.mp4 30.3 MB
  10. 9. Brain Fail Dealing With Memory Problems.mp4 14.9 MB
  11. 1. What Is a Document Reading Virtual Assistant.mp4 21.1 MB
  12. 2. Get Access To the OpenAI API.mp4 18.6 MB
  13. 3. Introduction to LangChain.mp4 36.7 MB
  14. 1. Read in a Single PDF.mp4 17.2 MB
  15. 2. Read In Multiple PDFs.mp4 71.2 MB
  16. 3. A More Straightforward Way To Read in Multiple PDFs.mp4 37.1 MB
  17. 4. Learn More About Your Documents Why We Need A Preliminary NLP Analysis.mp4 19.0 MB
  18. 5. Entity Matching.mp4 90.8 MB
  19. 6. Keyword Extraction.mp4 79.8 MB
  20. 7. What Is TF-IDF.mp4 22.9 MB
  21. 8. Text Similarity.mp4 74.1 MB
  22. 1. Overview-The Summarisation Process.mp4 34.9 MB
  23. 2. Abstract Summarizer.mp4 62.3 MB
  24. 3. Answer Questions Based On Given Text-LangChain.mp4 69.9 MB
  25. 4. Theoretical Undepinnings.mp4 25.0 MB
  26. 5. Answer Questions With Llama-Index.mp4 35.6 MB
  27. 1. What Is Prompt Engineering.mp4 40.0 MB
  28. 2. Prompt Engineering With Langchain.mp4 64.2 MB
  29. 1. Introduction to Numpy.mp4 29.9 MB
  30. 2. What Is Pandas.mp4 74.9 MB
  31. 3. Basic Data Cleaning With Pandas.mp4 34.4 MB
  32. 4. Basic Principles of Data Visualisation.mp4 73.9 MB
  33. Bonus Resources.txt 386 bytes

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