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    2.1 Indirect prompt injection
  2. Урок 2. 00:06:39
    3.1 Quick intro
  3. Урок 3. 00:07:25
    3.2 About local LLM
  4. Урок 4. 00:05:39
    3.3 Installation
  5. Урок 5. 00:05:58
    3.4 Run Llava
  6. Урок 6. 00:10:27
    3.5 APIs with Postman
  7. Урок 7. 00:04:57
    3.6 With OpenAI
  8. Урок 8. 00:02:38
    3.7 With Ollama
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    3.8 With Langchain
  10. Урок 10. 00:12:11
    3.9 Run Ollama with Chat UI
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    3.10 Ollama with custom models
  12. Урок 12. 00:01:52
    4.1. What is Hugging Face.
  13. Урок 13. 00:04:37
    4.2. Hugging Face ecosystem
  14. Урок 14. 00:10:04
    4.3. Working with Transformers libirary
  15. Урок 15. 00:09:54
    4.4. Generate text
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    4.5. Transcribing audio
  17. Урок 17. 00:10:51
    4.6. Obje detection
  18. Урок 18. 00:03:46
    4.7. What is Spaces.
  19. Урок 19. 00:05:09
    4.8. Creating Gradio app
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    4.9. Creating Spaces
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    5.1. What is Gemini.
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    5.2. Getting API Key
  23. Урок 23. 00:01:20
    5.3. Initialize Python project
  24. Урок 24. 00:03:17
    5.4. Generate text
  25. Урок 25. 00:06:40
    5.5. Interact with image
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    5.6. Chatbot
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    5.7. Text chatbot
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    5.8. Photo chatbot
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    5.9. Audio chatbot
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    6.1. Embeddings
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    6.2. Vector database
  32. Урок 32. 00:08:02
    6.3. Token limit problem
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    6.4. What is RAG.
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    6.5. Chroma
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    6.6. Chroma embeddings
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    6.7. OpenAI embeddings
  37. Урок 37. 00:02:47
    6.8. Hugging Face embeddings
  38. Урок 38. 00:02:20
    6.9. Updating data
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    6.10. Removing data
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    6.11. Collection management
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    6.12. Prepare resumes
  42. Урок 42. 00:10:36
    6.13. Code
  43. Урок 43. 00:05:53
    7.1. Age
  44. Урок 44. 00:03:30
    7.2. Chains
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    7.3. Chat with RAG
  46. Урок 46. 00:02:57
    7.4. Generation
  47. Урок 47. 00:11:01
    7.5. Go with Hugging Face and Groq
  48. Урок 48. 00:07:10
    7.6. Go with OpenAI
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    7.7. Intro
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    7.8. Memory
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    7.9. RAG with PDF
  52. Урок 52. 00:11:25
    7.10. Retrieval Augmented
  53. Урок 53. 00:05:40
    7.11. Simple ChatUI with Ollama
  54. Урок 54. 00:09:12
    7.12. Upload PDF
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    8.1. Intro
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    8.2. Workflow
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    8.3. Age
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    8.4. Tasks
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    8.5. Tools
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    8.6. Processes
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    8.7. Installation
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    8.8. Run Age
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    8.9. Run Tasks
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    8.10. Run Crew
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    8.11. Installation libraries
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    8.12. Set up compone
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    8.13. Crew
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    9.1. Intro
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    9.2. Create GPT
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    9.3. Add knowledge base
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    9.4. Nutrition API
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    9.5. Create your actions
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    9.6. Hacking instruction prompt
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    9.7. Hacking uploaded files
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    9.8. Advanced hacking prompt
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    9.9. Layer of protection
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    10.1. Problem #1
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    10.2. Problem #2
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    10.3. Solution
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    10.4. Multiple custom functions
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    10.5. Applications of function calling
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    10.6. Back to the problem
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    10.7. Function calling use cases
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    10.8. Overview
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    10.9. Create assistant in playground
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    10.10. Add knowledge base
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    10.11. Code intergreter
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    10.12. Knowledge base
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    10.13. Function calling
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    10.14. Basic Streamlit
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    10.15. Send email with Resend
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    10.16. Update utils - create assistant
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    10.17. Update utils - functions for assistant
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    10.18. Add logic
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    11.1. Speech reg vs Voice reg
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    11.2. OpenAI Whisper
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    11.3. Local Whisper
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    11.4. Transcribe Youtube
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    11.5. Deepgram STT
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    11.6. SpeechRecognition - Google
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    11.7. SpeechRecognition - Whisper
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    11.8. OpenAI
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    11.9. Deepgram
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    11.10. Structure
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    11.11. Add Speech-to-Text
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    11.12. Add Text-to-Speech
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    11.13. Add Groq
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    11.14. Working together
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    11.15. Work with remote image
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    11.16. Work with local image
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    11.17. Step 1 - Camera input
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    11.18. Step 2 - Input form
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    11.19. Step 3 - AI image function
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    11.20. Step 4 - Test on monile