Check out my latest portfolio I built! jasonsrobinson.com
#DataScience #DeepLearning #AI
@jrob77
π¨πΎβπ»Data Science π»ML π€AI π·πΎββοΈBuilder of Things #DataScience #MachineLearning #AI #DeepLearning #ComputerVision LinkedIn: https://linkedin.com/in/jasrobinson12 GitHub: https://github.com/techthumb1
Check out my latest portfolio I built! jasonsrobinson.com
#DataScience #DeepLearning #AI
AI-driven blood tests, leveraging nanotube technology (50,000x thinner than a hair) and machine learning, are showing promise in detecting ovarian cancer at its earliest stages, offering a potential game-changer in cancer diagnostics.π‘
Source: tinyurl.com/3ts3rhry
#AI #AIinHealth #TechForGood
An introduction to the RL behind DeepSeek-R1 by hallerite
Since GRPO is the main RL algorithm that we want to understand in the end and GRPO is based on PPO, we should start with PPO.
publish.obsidian.md/hallerite/rl...
Your "normal" blood test results may not actually be normal for you. A mathematician explains how #MachineLearning can find healthy blood count ranges for individual patients and improve predictions of their risk of future disease. https://buff.ly/3P1vAfM π©Ίπ§ͺ#AI #PersonalizedMedicine #CBC
They created custom instructions within the LLM specifically according to username, for a similar scenario, from that user. Positive those actions arenβt isolated to one user, but likely a distribution list of Superusers of similar celebrity.
Happy Birthdayπ
AI2 used this method to help create sufficiently diverse prompts for supervised fine-tuning, which is a strong recommendation.
But I kind of can't believe it works. What gives us confidence that an LLM can infer an author description from text, or use one to inflect text? They never see authors!
The unfortunate effect of mass growth is that evil-doer opportunists will seize on these instances. Clearly @Bluesky will need to have some form of user verification coming down the pipeline. www.technologyreview.com/2024/12/11/1...
Excited about BioEmu?
Opening this position for just a few days over #NeurIPS2024. Looking especially for Bioinformatics + Structural Biology skills, MD/Stat Mech skills and/or #deeplearning architecture design + engineering skills
aka.ms/ai4science-r...
New publication (4+ years in the making): βThe Diffusion and Reach of (Mis)Information on Facebookβ. shorturl.at/VE2fU
We analyze the propagation of 1B+ posts across content moderation regimes, with @davidlazer.bsky.social @jatucker.bsky.social @taliastroud.bsky.social @annenbergpenn.bsky.social
Neurons in adults are more "rigid" and require more stimulus to change. This is represented by a cartoon of neurons within an adult silhouette having straight and firm connections, opposed to the neurons within a child that have more flexible and adaptable connections.
Some of my prior #research shows how certain adult neurons tied to reward resist change!
It is free access!
doi.org/10.3389/fnin...
On a macro level, this could provide a new hypothesis for why adults exhibit resistance to #learning, #anxiety, and #addiction.
#neuroscience #science π§ π§ͺ
[new review] Zhang Lab. Recent advances and applications of artificial intelligence in 3D bioprinting. Biophys Rev (Melville)
http://dlvr.it/TGbPnR
The ZenML team has compiled over 300 real-world examples of deploying LLMs in production. It might help technical teams tackle practical challenges with a focus on concrete implementation details while avoiding promotional fluff www.zenml.io/blog/demysti... #dataBS
Have you ever wondered how to train an autoregressive generative transformer on text and raw pixels, without a pretrained visual tokenizer (e.g. VQ-VAE)?
We have been pondering this during summer and developed a new model: JetFormer ππ€
arxiv.org/abs/2411.19722
A thread π
1/
One of the best repos Iβve come across for #GenAI Agents.
github.com/NirDiamant/G...
Shareholderβs of companies want #AI, due to FOMO. Similar to a math assignment, they donβt care that it works, they want to know how. They want to see the work to have confidence in the solution. #XAI
www.mckinsey.com/capabilities...
Congratulations!
Competitive Scrabble π
Scaling just means making the app bigger. Functionality, security, etc.
Wow, impressive work! π€©
+ It comes with #opensource code and model - can't wait to try it out! π
github.com/microsoft/Bi...
Thanks for sharing! Currently working on a project of different modalities for segmentation and classification tasks. This surely will help!
Hilarious π€£
I personally agree that LLMs do not βknow anythingβ, but extremely useful βtoolsβ, particularly in research. They will guide you to an area of possible solutions, not absolute solutions.
Great point! The simplified dataset will allow the LLM to find patterns easier than a trained physician, but at the cost of loss context.
Congratulations π
Yea there can be moments of fun but the reality when the camera is off is far from fun it. Nothing related to violence. But they can only go out at certain times, never at night, told when to go to sleep when to wake up. Work 30hrs a week for $10-$15 a month. Nah, them tiktoks a facade. Stay freeπ―
Great questions. Yes, technically the bias introduced by medical technicians would affect the modelβs capability to better generalize the data. However, there are methods that are used to account for the bias in models, in conjunction with the technicians and human raters to mitigate bias.
Bro, theyβre not, trust me!