fzliu

16 ms·

271.
Embrace the SICK (2018)(esr.ibiblio.org)
1 points by fzliu 2y ago|0 comments
272.
General-Purpose vs. Domain-Specific Embedding Models(timescale.com)
2 points by fzliu 2y ago|0 comments
273.
Evaluating Embedding Models for Code(blog.voyageai.com)
2 points by fzliu 2y ago|0 comments
274.
Code embedding model with Matryoshka learning and quantization-aware training(blog.voyageai.com)
2 points by fzliu 2y ago|0 comments
275.
Pocketstox: Semantic search between news articles and earnings transcripts(andresvolosyanko.com)
3 points by fzliu 2y ago|0 comments
276.
Aging in Chess(lichess.org)
2 points by fzliu 2y ago|0 comments
277.
Powering AI RAG Applications with Vector Embeddings(sambanova.ai)
10 points by fzliu 2y ago|0 comments
278.
Evaluating Code Embedding Models(blog.voyageai.com)
1 points by fzliu 2y ago|0 comments
279.
The Upside of the Pentium Bug (1995) [pdf](websrv.cecs.uci.edu)
6 points by fzliu 2y ago|1 comments
280.
Evaluating Code Embeddings(blog.voyageai.com)
1 points by fzliu 2y ago|0 comments
281.
Code embedding model with Matryoshka learning and quantization-aware training(blog.voyageai.com)
2 points by fzliu 2y ago|0 comments
282.
Evaluating Code Embeddings(blog.voyageai.com)
2 points by fzliu 2y ago|0 comments
283.
Code embeddings with Matryoshka learning and quantization awareness(blog.voyageai.com)
1 points by fzliu 2y ago|0 comments
284.
by fzliu 2y ago
> As with all LLM models and their subproducts, the only way to ensure good results is to test yourself, ideally with less subjective, real-world feedback metrics. This is excellent advice. Sadly, very few people/organizations imple
285.
Leanness combined with healthy lifestyle protective against early death (2016)(nutritionsource.hsph.harvard.edu)
2 points by fzliu 2y ago|0 comments
286.
Beating Arc the Hard Way(nonint.com)
2 points by fzliu 2y ago|1 comments
287.
Why are we using LLMs as calculators?(vickiboykis.com)
20 points by fzliu 2y ago|12 comments
288.
Code embedding model with Matryoshka learning and quantization-aware training(blog.voyageai.com)
1 points by fzliu 2y ago|0 comments
289.
Evaluating Code Embeddings(blog.voyageai.com)
2 points by fzliu 2y ago|0 comments
290.
ModernBERT(arxiv.org)
3 points by fzliu 2y ago|1 comments
291.
Code embedding model with Matryoshka learning and quantization-aware training(blog.voyageai.com)
2 points by fzliu 2y ago|0 comments
292.
Evaluating Code Embeddings(blog.voyageai.com)
1 points by fzliu 2y ago|0 comments
293.
Head-to-head benchmarking tool for embedding models(github.com)
1 points by fzliu 2y ago|0 comments
294.
voyage-code-3(blog.voyageai.com)
1 points by fzliu 2y ago|0 comments
295.
How do we evaluate vector-based code retrieval?(blog.voyageai.com)
1 points by fzliu 2y ago|0 comments
296.
Are You a Peacetime CEO or a Wartime CEO? (2011)(hbr.org)
1 points by fzliu 2y ago|0 comments
297.
Arctic-Embed 2.0: Multilingual Retrieval Without Compromise(arxiv.org)
2 points by fzliu 2y ago|0 comments
298.
Evaluating Code Embeddings(blog.voyageai.com)
1 points by fzliu 2y ago|0 comments
299.
Head-to-head benchmarking tool for embedding models(github.com)
2 points by fzliu 2y ago|0 comments
300.
Code embedding model with Matryoshka learning and quantization-aware training(blog.voyageai.com)
1 points by fzliu 2y ago|0 comments

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