fzliu

13 ms·

241.
Salesforce AI Research Falsely Claims #1 on Leaderboard(twitter.com)
3 points by fzliu 2y ago|0 comments
242.
Micropayments(sheep.horse)
4 points by fzliu 2y ago|1 comments
243.
Evaluating Embedding Models for Code(blog.voyageai.com)
1 points by fzliu 2y ago|0 comments
244.
voyage-3-large(blog.voyageai.com)
1 points by fzliu 2y ago|0 comments
245.
Decisionator(v0.dev)
1 points by fzliu 2y ago|0 comments
246.
The evolution of incident response at Podia(jamie.ideasasylum.com)
1 points by fzliu 2y ago|0 comments
247.
General-Purpose vs. Domain-Specific Embedding Models(timescale.com)
1 points by fzliu 2y ago|0 comments
248.
Long Paths on Windows(duerrenberger.dev)
1 points by fzliu 2y ago|0 comments
249.
Evaluating Code Embedding Models(blog.voyageai.com)
1 points by fzliu 2y ago|0 comments
250.
voyage-3-large(blog.voyageai.com)
2 points by fzliu 2y ago|0 comments
251.
The Problem with 'Just': Tech's Most Dangerous Four-Letter Word(leadership.garden)
1 points by fzliu 2y ago|1 comments
252.
Nobody cares(grantslatton.com)
1071 points by fzliu 2y ago|976 comments
253.
Personalized voice recordings by Elwood "You've got mail!" Edwards (2024)(blog.jgc.org)
96 points by fzliu 2y ago|33 comments
254.
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains(arxiv.org)
1 points by fzliu 2y ago|0 comments
255.
by fzliu 2y ago
Although voyage-3-m-exp is at the top of the leaderboard, I would not use it for production use cases unless your data is extremely similar to "in-domain" MTEB data. Check out this post from Nils (one of the authors of the origina
256.
by fzliu 2y ago
For float and int8, 1024 does indeed outperform 2048. However, for binary, 2048 outperforms 1024. For our general-purpose embedding model (voyage-3-large), embedding vectors with 2048 dimensions outperform 1024 across the board: https:&#x2
257.
by fzliu 2y ago
We have a repurposed version of SWE-bench Lite for retrieval; you can see the numbers in the last column of this spreadsheet: https://docs.google.com/spreadsheets/d/1Q5GDXOXueHuBT9demPrL...
258.
Voyage-code-3(blog.voyageai.com)
111 points by fzliu 2y ago|30 comments
259.
Mastering the Isolated Queen Pawn (IQP)(lichess.org)
26 points by fzliu 2y ago|15 comments
260.
The Elegant Cross Pin(lichess.org)
1 points by fzliu 2y ago|0 comments
261.
General-Purpose vs. Domain-Specific Embedding Models(timescale.com)
1 points by fzliu 2y ago|0 comments
262.
U.S.-China Rivalry in a Neomedieval World [pdf](rand.org)
2 points by fzliu 2y ago|0 comments
263.
voyage-3-large(blog.voyageai.com)
2 points by fzliu 2y ago|0 comments
264.
RISC-V in AI and HPC(eetimes.com)
3 points by fzliu 2y ago|0 comments
265.
Evaluating Embedding Models for Code(blog.voyageai.com)
1 points by fzliu 2y ago|1 comments
266.
To Save C, We Must Save ABI (2022)(thephd.dev)
1 points by fzliu 2y ago|0 comments
267.
Write code with your Alphabet Radio on(vickiboykis.com)
2 points by fzliu 2y ago|0 comments
268.
voyage-code-3: Code embedding model with Matryoshka learning and quantization(blog.voyageai.com)
1 points by fzliu 2y ago|1 comments
269.
voyage-3-large(twitter.com)
4 points by fzliu 2y ago|0 comments
270.
Embedding model with Matryoshka learning and quantization-aware training(blog.voyageai.com)
2 points by fzliu 2y ago|0 comments

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