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Премиум
  1. Урок 1. 00:05:21
    From Beginner to Advanced LLM Developer | The Towards AI Academy
  2. Урок 2. 00:09:20
    Why Learn How to Use and Customize LLMs
  3. Урок 3. 00:02:21
    Part 1: Section Overview: Building Our RAG AI Tutor; Introduction to Using LLMs
  4. Урок 4. 00:09:16
    To use a LLM or to not use it?
  5. Урок 5. 00:04:55
    What is Prompting? Talking with AI Models...
  6. Урок 6. 00:05:51
    What is Prompt Injection? Can you Hack a Prompt?
  7. Урок 7. 00:01:29
    Part 1: Section Overview: Building Our RAG AI Tutor; Using Basic RAG for Our Project
  8. Урок 8. 00:09:41
    What is RAG?
  9. Урок 9. 00:01:15
    Part 1: Section Overview: Building Our RAG AI Tutor; Developing a RAG AI Tutor With LLamaIndex
  10. Урок 10. 00:11:09
    How vector DBs work and when to use one
  11. Урок 11. 00:10:43
    RAG Evaluations
  12. Урок 12. 00:01:23
    Part 1: Section Overview: Building Our RAG AI Tutor; Using Other LLMs and Embedding Models
  13. Урок 13. 00:01:34
    Part 1: Section Overview: Building our RAG AI Tutor; Advanced RAG; How we Find and Use the Most Relevant Data!
  14. Урок 14. 00:01:35
    Part 1: Section Overview: Building our RAG AI Tutor; Advanced RAG; How we Find and Use the Most Relevant Data!
  15. Урок 15. 00:10:31
    Advanced Search Techniques: From Keywords to Graphs
  16. Урок 16. 00:08:36
    What is Indexing? Indexing Methods for Vector Retrieval
  17. Урок 17. 00:01:05
    Part 1: Section Overview: Building Our RAG AI Tutor; Fine-Tuning
  18. Урок 18. 00:12:46
    Optimizing the model - inference and fine-tuning
  19. Урок 19. 00:08:46
    Is fine-tuning an embedding model worth? When should you do it? Why? What is it?
  20. Урок 20. 00:01:39
    Part 1: Section Overview: Building Our RAG AI Tutor; Expanded RAG Toolkit
  21. Урок 21. 00:06:47
    Long Context LLMs vs. RAG
  22. Урок 22. 00:01:20
    Part 1: Section Overview: Building and Deploying the Final RAG Chatbot
  23. Урок 23. 00:01:15
    Part 2: Section Overview: More LLM Capabilities & Other Useful AI Models
  24. Урок 24. 00:01:45
    Part 2 Section Overview More LLM Frameworks and Tools
  25. Урок 25. 00:01:28
    Part 2: Section Overview: LLM Optimizations for Deployment
  26. Урок 26. 00:13:29
    Best tips for Pruning and Distillation (Minitron Paper)