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