LLM Routing — Intuitively and Exhaustively Explained | by Daniel Warfield | Nov, 2024 | Towards Data Science
https://towardsdatascience.com/llm-routing-intuitively-and-exhaustively-explained-5b0789fe27aa
https://towardsdatascience.com/llm-routing-intuitively-and-exhaustively-explained-5b0789fe27aa
Towards Data Science
LLM Routing - Intuitively and Exhaustively Explained
Dynamically Choosing the Right LLM
These resources are amazing and free:
- Attention Is All You Need: arxiv.org/abs/1706.03762
- The Illustrated Transformer: https://lnkd.in/e7v9Fz9n
- Transformers (how LLMs work) explained visually: https://lnkd.in/e-QwFB_7
- Large Language Models explained briefly: https://lnkd.in/efnnU8XF
- How might LLMs store facts: https://lnkd.in/e2DdkRxZ
- Attention Is All You Need: arxiv.org/abs/1706.03762
- The Illustrated Transformer: https://lnkd.in/e7v9Fz9n
- Transformers (how LLMs work) explained visually: https://lnkd.in/e-QwFB_7
- Large Language Models explained briefly: https://lnkd.in/efnnU8XF
- How might LLMs store facts: https://lnkd.in/e2DdkRxZ
arXiv.org
Attention Is All You Need
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder...
2408.11796v3.pdf
1.6 MB
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