Robot | Path | Permission |
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Title | Dan Fu - Stanford |
Description | 5th-year CS PhD Candidate at Stanford. Systems for machine |
Keywords | N/A |
WebSite | danfu.org |
Host IP | 162.255.119.248 |
Location | United States |
Site | Rank |
US$1,689,400
Last updated: 2023-05-07 06:24:51
danfu.org has Semrush global rank of 6,265,128. danfu.org has an estimated worth of US$ 1,689,400, based on its estimated Ads revenue. danfu.org receives approximately 194,931 unique visitors each day. Its web server is located in United States, with IP address 162.255.119.248. According to SiteAdvisor, danfu.org is safe to visit. |
Purchase/Sale Value | US$1,689,400 |
Daily Ads Revenue | US$1,560 |
Monthly Ads Revenue | US$46,784 |
Yearly Ads Revenue | US$561,401 |
Daily Unique Visitors | 12,996 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
danfu.org. | A | 1798 | IP: 162.255.119.248 |
danfu.org. | A | 1798 | IP: 192.30.252.154 |
danfu.org. | A | 1798 | IP: 192.30.252.153 |
danfu.org. | NS | 1800 | NS Record: dns2.registrar-servers.com. |
danfu.org. | NS | 1800 | NS Record: dns1.registrar-servers.com. |
danfu.org. | MX | 1800 | MX Record: 10 eforward2.registrar-servers.com. |
danfu.org. | MX | 1800 | MX Record: 10 eforward3.registrar-servers.com. |
danfu.org. | MX | 1800 | MX Record: 5 eforward7.registrar-servers.com. |
danfu.org. | MX | 1800 | MX Record: 1 eforward6.registrar-servers.com. |
danfu.org. | MX | 1800 | MX Record: 20 eforward5.registrar-servers.com. |
danfu.org. | MX | 1800 | MX Record: 15 eforward4.registrar-servers.com. |
danfu.org. | MX | 1800 | MX Record: 10 eforward1.registrar-servers.com. |
danfu.org. | TXT | 1800 | TXT Record: v=spf1 include:spf.efwd.registrar-servers.com ~all |
Dan Fu CS PhD Candidate at Stanford. Systems for machine learning. About Me I’m a fifth-year Computer Science PhD candidate at Stanford, where I’m co-advised by Chris Ré and Kayvon Fatahalian , affiliated with the Stanford AI Lab , Stanford CRFM , the Stanford Machine Learning Group , DAWN , and the Stanford Computer Graphics Lab . I’m also an academic partner with Together . In my research, I develop ML and systems algorithms to break crucial modeling bottlenecks. Liger , FlyingSquid ), to data efficiency ( TABi , Thanos ), to human efficiency ( Rekall ), to computational efficiency ( FlashAttention ). --> Recently, I’ve been very interested in enabling longer-sequence models, with a line of work starting with H3 and FlashAttention , and continuing on with Hyena . This blog post summarizes our past two years of work on increasing the context length of foundation models. In the past, I’ve also done work on labeling ( Liger , FlyingSquid ), data ( TABi , Thanos ), and human ( Rekall |
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