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`llm.summarize()` works totally as expected. `llm.chunked_summarize()` just returns the original input data without any processing behind the scenes (it returns output instantly, so I don't think it's…
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Post questions here for this week's oritenting readings:
Veitch, Victor, Dhanya Sridhar & David M. Blei. 2020. [“Adapting Text Embeddings for Causal Inference.”](https://arxiv.org/pdf/1905.12741.p…
lkcao updated
7 months ago
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Proof of Influence in Large Language Models : POILLMs
This is ai generated with bing based on ramblings from me.
Whitepaper: Proof of Influence in Large Language Models (LLMs)
Abstract
The conce…
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- [ ] [At the Intersection of LLMs and Kernels - Research Roundup](https://charlesfrye.github.io/programming/2023/11/10/llms-systems.html)
# At the Intersection of LLMs and Kernels - Research Roundup…
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- [ ] [self-speculative-decoding/README.md at main · dilab-zju/self-speculative-decoding](https://github.com/dilab-zju/self-speculative-decoding/blob/main/README.md?plain=1)
# Self-Speculative Decod…
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https://molmo.allenai.org/blog
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During reading of `semantics.md` and encoding the rules in dhall-python implementation I realized that I'm doing quite a mindless work there. I thought that a transpiler should be doing it instead of …
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Hello.
I am not clear about the loss calculation of pet during training (as described in Section 3.1 in the paper: Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language I…