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Articles by Gavin Li
Stream event | theCrag
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Autonomous biomedical research with an artificial intelligence agent
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Abstract Supplementary Materials References and Notes Information & Authors Metrics & Citations Check Access References Figures Tables Media Share Abstract Biomedical research is increasingly constrained by repetitive, fragmented workflows that slow discovery. We introduce Biomni, a general-purpose biomedical artificial intelligence agent that autonomously executes diverse research tasks.
By J. C. Brüggenjürgen, Gerard Crowley, Zhulatai Bao, Kexin Huang, serena zhang, Hanchen Wang, Yuanhao Qu, Yingzhou Lu, Ryan Li, Yusuf Roohani, Lin Qiu, Shiyi Cao, Gavin Li, Junze Zhang, Di Yin, Rick Wierenga, Deniz Kavi, Sherry Liu, Shruti Marwaha, Jennefer N. Carter, Xin Zhou, Matthew Wheeler, Jonathan Bernstein, Mengdi Wang, Peng He
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Science Magazine
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Increasing Remaining Fatigue Life of Steel Plates Using Bonded Ultrahigh-Modulus CFRP Plates: The Effect of Cyclic History and Bond Length
Get full access to this article View all available purchase options and get full access to this article. Data Availability Statement All data, models, and code generated or used during the study appear in the published article. Acknowledgments The authors acknowledge the financial support from the Jaques Cartier and Champlain Bridges Incorporated (JCCBI) Project and thank Dr. Salaheldin Mousa for assistance with obtaining the necessary materials for this research.
AI Productivity Mastery: The Beginner’s Guide to Boosting Skills and Efficiency with LLM
Gavin Li · Follow 2 min read · -- The AI era has arrived. Are you curious about Large Language Models(LLMs) but don’t know where to start? This guide is your perfect companion! Tailored for LLMs beginners, it requires no technical background and helps you quickly master the core skills of interacting with LLMs to enhance your work and life efficiency.
The Jokr reviews
For those that are close to me, you might have heard me mention a burlesque show is in town, the Empire Strips Back, and this weekend I had the chance to go and watch said show. Here’s a review of it, kinda. First thing first, the sound guy deserves to be shot and quartered. The bass is cranked way too high for the speakers at the innovation theater u can hear it peaking out and becoming garbled for some of the songs. The songs were somewhat disappointing.
What is New in Artificial Corneas
Since the first successful full thickness corneal transplantation was performed by Eduard Zirm in 1905,1 the procedure has grown to become the most commonly performed transplantation globally.
Run the strongest open-source LLM model: Llama3 70B with just a single 4GB GPU!
The strongest open source LLM model Llama3 has been released, some followers have asked if AirLLM can support running Llama3 70B locally with 4GB of VRAM. The answer is YES. Here we go. Moreover, how does Llama3’s performance compare to GPT-4? What’s the key cutting-edge technology Llama3 use to become so powerful? Does Llama3’s breakthrough mean that open-source models have officially begun to surpass closed-source ones? Today we’ll also give our interpretation.
Unbelievable! Run 70B LLM Inference on a Single 4GB GPU with This NEW Technique
Large language models require huge amounts of GPU memory. Is it possible to run inference on a single GPU? If so, what is the minimum GPU memory required? The 70B large language model has parameter size of 130GB. Just loading the model into the GPU requires 2 A100 GPUs with 100GB memory each. During inference, the entire input sequence also needs to be loaded into memory for complex “attention” calculations. The memory requirement of this attention mechanism scales quadratically with the input length.
Knowledge is power
I know, I know. It’s a common saying that’s been talked to death, but today I want to share two unrelated but equally obscure ways of acquiring knowledge so you can stay ahead of the curve during your stay at UR. First things first, social media. Though not widely accepted as a form of studying, there are so many good memes for any subject you’re having trouble with.
A note to the editors regarding Gilbert being a non-Euclidean space
Hello Sir Bryan, You might not know me personally, so I might as well name myself. I am Sir Gavin the third, a somewhat expert on non-Euclidean space throughout campus and a previous resident of Gilbert. As someone has pointed out in previous editions of the Campus Times, Gilbert is indeed a non-Euclidean space. But, I’m afraid there might have been some rather amateur and grave mistakes in that article. First, some credentials, I have been a tunnel rat (they drive me crazy) for more than a decade.
Crazy? I was crazy once. They locked me in a room. A rubber room. A rubber room with rats. And rats make me crazy.
An update to the previous thoughts. After spending some alone time with rats over the summer, I have become a new man, and thus I have decided to channel my thoughts onto some more productive things. First, you can no longer microwave forks to start fires. I know I know, it is disappointing. But you know what you can do? You can calculate the speed of light with it. First, get something melty, like cheese, and spread it all over the microwave. Microwave it for a while and see where the cheese melts.
CERTainty: Detecting DNS Manipulation at Scale using TLS Certificates
arXiv:2305.08189 (cs) Download a PDF of the paper titled CERTainty: Detecting DNS Manipulation at Scale using TLS Certificates, by Elisa Tsai and 5 other authors Download PDF Submission history From: Gavin Li [ view email] [v1] Sun, 14 May 2023 15:56:46 UTC (4,716 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media DagsHub Toggle DagsHub...
The Joker speaks
The thoughts of The Joker are being brought to you by asianjeff. You can no longer cause fires thru microwaving a fork. I can no longer spread the true words of z0rg. All I wanted, as an honest working man, is to have a nice, five-minute, Union mandated smoke break. But no! They can’t give me that. They have to just go to some narcotic filled party, drunk, and smash a fucking champagne bottle, right next to my smoke spot. The Industrial Revolution and its consequences strike again.
How AI Text Generation Models Are Reshaping Customer Support at Airbnb
One of the fastest-growing areas in modern Artificial Intelligence (AI) is AI text generation models. As the name suggests, these models generate natural language. Previously, most industrial natural language processing (NLP) models were classifiers, or what might be called discriminative models in machine learning (ML) literature. However, in recent years, generative models based on large-scale language models are rapidly gaining traction and fundamentally changing how ML problems are formulated.
Outcomes of Sjögren’s versus non-Sjögren’s related dry eye in a longitudinal, tertiary clinic-based sample
Loading metrics Open Access Peer-reviewed Research Article David Cui, Priya Mathews, Gavin Li, Shanna VanCourt, Esen Akpek David Cui, Priya Mathews, Gavin Li, Shanna VanCourt, Esen Akpek Published: December 17, 2021 https://doi.org/10.1371/journal.pone.0261241 Figures Abstract Purpose To assess the long-term treatment outcomes of dry eye in patients with and without underlying primary Sjögren’s syndrome (SS). Design Retrospective longitudinal cohort.
[PROPOSAL]Pistachio
Hi Andrew, I agree with you. I've updated the proposal to include a little bit more explanations about the difference with Hadoop. Purely pursuing novelty is never our interest. Instead I believe even for the same problem different design and implementation ideas can make big difference. I think that's why there are many "internal competitions" in ASF.
[PROPOSAL]Pistachio
Hi Roman, I've taken a brief look at Geode. Pistachio and Geode both can support similar in-memory consistent HA distributed storage, and the data aware function routing idea is also similar. Here are what I think are different: 1. Pistachio actually uses a very different approach to resolve the problem. Pistachio leverages Apache Helix to do partition management and Apache Kafka as a WAL implementation to leverage the rich features and great performances in those systems. 2.
[PROPOSAL]Pistachio
Thank you, Amareshwari. On Friday, June 26, 2015, Jake Farrell wrote: > Hi Amareshwari > Thanks for catching the incorrect wording for removing the dependency > before graduation, should have been before first incubating release, > updated. Glad to have you on board as a mentor > > Updated proposal is now available on the wiki at > > https://wiki.apache.org/incubator/PistachioProposal > > -Jake > > > > On Fri, Jun 26, 2015 at 2:21 AM, amareshwarisr .
[PROPOSAL]Pistachio
We need more mentors. Please let me know if you are interested. THanks, Gavin Li On Mon, Jun 22, 2015 at 8:25 PM, Gavin Li wrote: > Roman, > > I think Pistachio is similar to Ignite in the sense that they both try to > distribute the computation to storage to co-locate the data and > computation. One difference might be Pistachio also supports other storage > options like disk based storage to support longer term durability.
[PROPOSAL]Pistachio
Roman, I think Pistachio is similar to Ignite in the sense that they both try to distribute the computation to storage to co-locate the data and computation. One difference might be Pistachio also supports other storage options like disk based storage to support longer term durability. Actually Pistachio was originally developed as a storage system of SSD disk and has been used on our large scale production serving system with SSD disk.
[PROPOSAL]Pistachio
Hi Andrew, As we described more in http://yahooeng.tumblr.com/post/116291838351/pistachio-co-locate-the-data-and-compute-for, a very common problem we saw in Hadoop use cases is we often need to persist the previous result of one map reduce job onto HDFS, then the next day we process the new data together with the previous result. Usually the most expensive part is the shuffling part where we need to join the previous data and the new data together.
[PROPOSAL]Pistachio
Wiki has been created for the proposal: https://wiki.apache.org/incubator/PistachioProposal. The comments here has been addressed and reflected in the wiki. Thanks, Gavin Li On Fri, Jun 19, 2015 at 11:30 AM, Gavin Li wrote: > Henry, > > Thanks for the suggestion. > > We agree that at early stage we'd better shunt the user discussion to dev > list to help developing the community. I'll update the proposal on the wiki > once I have write access on wiki.
[PROPOSAL]Pistachio
Henry, Thanks for the suggestion. We agree that at early stage we'd better shunt the user discussion to dev list to help developing the community. I'll update the proposal on the wiki once I have write access on wiki. THanks, Gavin Li On Fri, Jun 19, 2015 at 10:51 AM, Henry Saputra wrote: > Since it is mostly used in Yahoo do you need pistachio-user list for now? > > Usually incubator project should focus all communications in dev@ list > to avoid distractions of emails.
[PROPOSAL]Pistachio
Hi, I want to propose project Pistachio to enter Apache Incubator. Below please find the proposal. Thanks, Gavin Li = Pistachio = == Abstract == Pistachio is a fault-tolerant low latency distributed storage system which enables simple embedding the computation to the storage layer to achieve best data locality. It evolves from Yahoo’s global user profile storage system. == Proposal == Pistachio is a distributed key value store system with fault tolerance and consistency guarantee.
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