Alexy Khrabrov
Community builder · FunctionalTV
Alexy Khrabrov's graph
Centered on this profile · drag to explore
Community builder · FunctionalTV
Centered on this profile · drag to explore
Showing 1 of 1
A database system that can synchronize all or a part of its contents over a limited bandwidth link is described. The lowest layer of the system, the bedrock layer, implements a transactional block store. On top of this is a B+-tree that can efficiently compute a digest (hash) of the records within any range of key values in O(log n) time. The top level is a communication protocol that directs the synchronization process such that minimization of bits communicated, rounds of communication, and local computation are simultaneously addressed.
Showing 12 of 12
With the growing availability of data within various scientific domains, generative models hold enormous potential to accelerate scientific discovery. They harness powerful representations learned from datasets to speed up the formulation of novel hypotheses with the potential to impact material discovery broadly. We present the Generative Toolkit for Scientific Discovery (GT4SD). This extensible open-source library enables scientists, developers, and researchers to train and use state-of-the-art generative models to accelerate scientific discovery focused on organic material design.
Showing 24 of 547
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=4YYrTDlOPNQ&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=54
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=iIUS6N6fpMo&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=25
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=zpumxcFBhN8&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=8
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=qw4S_6FXsp4&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=15
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=_GL3Wt6vNmg&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=74
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=4YYrTDlOPNQ&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=54
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=LlkI42Nku44&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=34
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=4FyfWg7gpng&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=33
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=x6n7q1zFtFw&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=44
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=CSamqAt6ngI&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=38
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=EsLrQsrjE2I&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=40
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=z0ZYe9obPbM&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=66
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Here, find the entire day's conference presentations: https://www.youtube.com/watch?v=Ph5Z9UmlLeI&list=PLNESult6cnOlHK5bRvdT8f2UnoyZ9TfKW&index=30
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference In this talk, Dr. Alexy Khrabrov, recently elected Chair of the new Generative AI Commons at Linux Foundation for AI & Data, outlines the OSS AI landscape, challenges, and opportunities. With new models and frameworks being unveiled weekly, one thing remains constant: community building and validation of all aspects of AI is key to reliable and responsible AI we can use for business and society needs. Industrial AI is one key area where such community validation can prove invaluable.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Josh Tobin is the founder and CEO of Gantry. Previously, Josh worked as a deep learning & robotics researcher at OpenAI and as a management consultant at McKinsey. He is also the creator of Full Stack Deep Learning (fullstackdeeplearning.com), the first course focused on the emerging engineering discipline of production machine learning and LLM applications. Josh did his PhD in Computer Science at UC Berkeley advised by Pieter Abbeel. Large language models are a powerful primitive for building applications quickly and easily. However, when it comes to robustness, reliability, and production readiness, they leave something to be desired. If you've built applications with LLMs, you may have wondered, "isn't it a bit generous to call this prompt engineering?", "how do I know if this thing is actually working", or "is it even possible to test these things"? In this talk, we will present a more principled way to develop LLM appli
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference For more content like this: SBTB-23 is back in person! bay.news/tickets Nov 13-15, Oakland. LLM workshop; AI, Data & Cloud software engineering.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Join moderator Alexy Khrabrov with the following panelists to discuss Trust, LLMs, and Generative AI. Josh Tobin, Gantry Ofer Mendelevitch, Vectara Sandeep Gopisetty, IBM Christopher Nguyen, Aitomatic Chengyin Eng, Databricks
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Join moderator Alexy Khrabrov with the following panelists to discuss Performance, LLMs, and Generative AI. Beyang Liu, CTO, co-founder of Sourcegraph Greg Diamos, Co-founder and CTO of Lamini Ankit Mathur, Software Engineer at Databricks David Kanter, Executive Director at MLCommons Chip Huyen, Co-founder at Claypot AI
Reviewed LLM Avalanche SF 2023 panel.
Reviewed LLM Avalanche SF 2023 panel.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Shajan Dasan Twitter Staff ML Engineer Seattle Staff Machine Learning Engineer at Twitter. Working on Distributed Systems for the last 15 years.
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Check out François' talk here: https://youtu.be/kNykWMB4apw François Farquet Oracle Labs Senior Researcher Zürich, Switzerland Websitetwitter.com/FFarquet
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Ville Tuulos Netflix Architect
ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Omar Alonso Microsoft Principal Applied Researcher Websitetwitter.com/elunca Omar is a Principal Data Scientist Lead at Microsoft in Silicon Valley where he works on the intersection of social media, temporal information, knowledge graphs, and human computation for the Bing search engine. He holds a PhD from the University of California at Davis. @elunca
Showing 7 of 7
Meetup photo album
Open gallery ↗Meetup photo album
Open gallery ↗Conference photo album
Open gallery ↗Conference photo album
Open gallery ↗Conference photo album
Open gallery ↗Conference photo album
Open gallery ↗Conference photo album
Open gallery ↗