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Gemma 3 Local Test with Ollama: Coding, Data Extraction, Data Labelling, Summarization, RAG

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Gemma 3 is a family of multimodal models from Google Deepmind that comes in 4 different sizes (1B, 4B, 12B and 27B). It is multilingual, supports 128k context window with tool calling and structured output training. We'll take it for a test in a local setup with Ollama, and find if it is any good.
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00:00 - Gemma 3 overview
03:30 - Ollama model
03:42 - Notebook setup
04:53 - Hip Hop lyrics
06:06 - Coding
09:26 - Data labeling
11:10 - Text summarization
12:30 - LinkedIn post
13:56 - Structured data extraction (with vision test)
17:06 - RAG/Question-answering
18:52 - Table data extraction
19:42 - Conclusion
Join this channel to get access to the perks and support my work:
#gemma #ollama #python #chatgpt #artificialintelligence #llama
👍 Don't Forget to Like, Comment, and Subscribe for More Tutorials!
00:00 - Gemma 3 overview
03:30 - Ollama model
03:42 - Notebook setup
04:53 - Hip Hop lyrics
06:06 - Coding
09:26 - Data labeling
11:10 - Text summarization
12:30 - LinkedIn post
13:56 - Structured data extraction (with vision test)
17:06 - RAG/Question-answering
18:52 - Table data extraction
19:42 - Conclusion
Join this channel to get access to the perks and support my work:
#gemma #ollama #python #chatgpt #artificialintelligence #llama
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