basics of data tokenization, llama3.2, codegemma, codellama and ollama

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Part 3/5 This blog series is for beginners and young Entrepreneurs who want to build Gen AI RAG driven applications.

01:45 python installation
03:10 ollama installation
06:50 virtual environment
08:52 ollama chat
18:00 data preparation
22:20 tokens

Hands on experience to build Gen AI RAG based Pro Apps, running 100% locally/hosted or API based, using API / tools of your choice.

Vector DB: TryChroma, SQLLite, Supabe or any VectorDB of your choice
Progamming: Python 3.12+
Application: Ollama WebUI or Taipy or Flutter
IDE: Jupyter Lab, Ollama
LLM: Gemini | llama 3.2 | OpenAI ChatGPT | Anthropic | Local models
  1. Amit Shukla
  2. llama3.2
  3. RAG
  4. GenAI
  5. ollama
  6. postgres
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