7 LLM Parameters to Enhance Model Performance (With Practical Implementation) https://lnkd.in/d8HEZWqR
Skunpoj Thanarojsophon’s Post
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Take a deep breath !! it applies to LLM prompt as well !! Read here https://lnkd.in/gymPnryx
2309.03409.pdf
arxiv.org
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Interesting article about hallucinations in LLM and the process to evaluate LLM performance for a specific task. https://lnkd.in/dmjJBfN5
Hallucinations, Errors, and Dreams
medium.com
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A good overview of LLM evalaution
Evaluating LLM systems: Metrics, challenges, and best practices
Evaluating LLM systems: Metrics, challenges, and best practices
medium.com
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Cool technique to enhance LLM reasoning ability: Simple cause LLM read the question twice https://lnkd.in/ecU-Z8Vv
2309.06275
arxiv.org
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Long-Term Memory for LLM - https://lnkd.in/ecBZ8YUm
Long-Term Memory for LLM
datatunnel.io
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LLM will slow down on adding more parameters and focus on multi-models use cases. The future is here. https://lnkd.in/efwuGYfD
Introducing GPT-4o
https://www.youtube.com/
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What are LLMs? Understanding different LLM families https://lnkd.in/gD5_8Tcw 2024.05.01
What are LLMs? Understanding different LLM families
medium.com
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Long-Term Memory for LLM - https://lnkd.in/ecBZ8YUm
Long-Term Memory for LLM
datatunnel.io
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A huge step toward LLM interpretability https://lnkd.in/g3Vv3ZTQ
Mapping the Mind of a Large Language Model
anthropic.com
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