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fzliu
searching PlanetScale…
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14 ms
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181.
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ZeroBench
(zerobench.github.io)
2 points
by
fzliu
2y ago
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0 comments
182.
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General-Purpose vs. Domain-Specific Embedding Models
(timescale.com)
1 points
by
fzliu
2y ago
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0 comments
183.
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SPIRE: Semantic Prompt-Driven Image Restoration (2024)
(arxiv.org)
3 points
by
fzliu
2y ago
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0 comments
184.
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Scaling Test-Time Compute Can Be More Effective Than Scaling Parameters (2024)
(arxiv.org)
2 points
by
fzliu
2y ago
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0 comments
185.
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Overfitting to Theories of Overfitting
(argmin.net)
2 points
by
fzliu
2y ago
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0 comments
186.
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Does Fasting cause (or cure) Hunger?
(freedium.cfd)
2 points
by
fzliu
2y ago
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0 comments
187.
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DeepSearcher
(github.com)
1 points
by
fzliu
2y ago
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0 comments
188.
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King Marches
(lichess.org)
1 points
by
fzliu
2y ago
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0 comments
189.
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LM2: Large Memory Models
(arxiv.org)
110 points
by
fzliu
2y ago
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30 comments
190.
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Reviving Old Hardware with Batocera Linux and NVMe Workarounds
(tsak.dev)
1 points
by
fzliu
2y ago
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0 comments
191.
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Distillation Scaling Laws
(arxiv.org)
3 points
by
fzliu
2y ago
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0 comments
192.
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Elasticsearch vs. Vespa Performance Comparison
(blog.vespa.ai)
1 points
by
fzliu
2y ago
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1 comments
193.
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Basis of the Kalman Filter [pdf]
(github.com)
239 points
by
fzliu
2y ago
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37 comments
194.
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voyage-3-large
(blog.voyageai.com)
2 points
by
fzliu
2y ago
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1 comments
195.
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My New Reading Workflow
(seankilleen.com)
2 points
by
fzliu
2y ago
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1 comments
196.
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Matryoshka Quantization
(arxiv.org)
2 points
by
fzliu
2y ago
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0 comments
197.
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Learn Haskell by building a blog generator
(learn-haskell.blog)
7 points
by
fzliu
2y ago
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0 comments
198.
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Open Source Deep Research
(milvus.io)
3 points
by
fzliu
2y ago
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0 comments
199.
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voyage-3-large
(blog.voyageai.com)
1 points
by
fzliu
2y ago
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0 comments
200.
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DocVLM: Make Your VLM an Efficient Reader
(arxiv.org)
2 points
by
fzliu
2y ago
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0 comments
201.
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10x Professionals
(deeplearning.ai)
4 points
by
fzliu
2y ago
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0 comments
202.
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voyage-3-large
(blog.voyageai.com)
1 points
by
fzliu
2y ago
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0 comments
203.
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From ML Teams to API Calls: The Illusion of Simplicity
(twitter.com)
1 points
by
fzliu
2y ago
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0 comments
204.
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Harmonic Loss Trains Interpretable AI Models
(arxiv.org)
1 points
by
fzliu
2y ago
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0 comments
205.
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Transformer Circuits Thread
(transformer-circuits.pub)
1 points
by
fzliu
2y ago
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0 comments
206.
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Elasticsearch vs. Vespa Performance Comparison
(blog.vespa.ai)
3 points
by
fzliu
2y ago
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0 comments
207.
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voyage-3-large
(blog.voyageai.com)
2 points
by
fzliu
2y ago
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0 comments
208.
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Tik-Tok Wins the Social Media Recommendation System War (2020)
(leehanchung.github.io)
2 points
by
fzliu
2y ago
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0 comments
209.
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by
fzliu
2y ago
I work at Voyage -- thanks for the kind words! To add a bit for readers who may be unaware, https://www.continue.dev/ uses embeddings as a strategy for indexing codebases. When used together with keyword search, I find that
210.
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by
fzliu
2y ago
I don't understand why the editors allowed the engineers' names to be made public. What did they hope to gain by doing this other than making them magnets for harassment and possibly threats?
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