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Премиум
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    2.1 Indirect prompt injection
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    3.1 Quick intro
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    3.2 About local LLM
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    3.3 Installation
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    3.4 Run Llava
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    3.5 APIs with Postman
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    3.6 With OpenAI
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    3.7 With Ollama
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    3.8 With Langchain
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    3.9 Run Ollama with Chat UI
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    3.10 Ollama with custom models
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    4.1. What is Hugging Face.
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    4.2. Hugging Face ecosystem
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    4.3. Working with Transformers libirary
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    4.4. Generate text
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    4.5. Transcribing audio
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    4.6. Obje detection
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    4.7. What is Spaces.
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    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
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    5.3. Initialize Python project
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    5.4. Generate text
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    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
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    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
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    6.8. Hugging Face embeddings
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    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
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    6.13. Code
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    7.1. Age
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    7.2. Chains
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    7.3. Chat with RAG
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    7.4. Generation
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    7.5. Go with Hugging Face and Groq
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    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
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    7.10. Retrieval Augmented
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    7.11. Simple ChatUI with Ollama
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    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