Llama.
The open source AI model you can fine-tune, distill and deploy anywhere. Our latest models are available in 8B, 70B, and 405B variants.
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Llama.
The open source AI model you can fine-tune, distill and deploy anywhere. Our latest models are available in 8B, 70B, and 405B variants.
Read in full here:
This thread was posted by one of our members via one of our news source trackers.
Can you use an LLM, or Llama in this case, to do sentiment/emotion analysis? For example, to tell whether a tweet indicates “happy”, “anxious”, “upset”, or “neutral”?
Maybe try looking into this: Large Language Models · spaCy Usage Documentation
I thought LLMs are more for things like chatbots and coding assistants? But maybe you can inform here if you were able to use it for sentiment/emotion analysis ![]()
the 405B model is large
normal / home user would need more powerful computers to run it
Why don’t you try ollama, and use an input prompt, asking if the tweet indicates “happy”, “anxious”, “upset”, or “neutral”? I think that will work.