changhiskhan @changhiskhan
Working on LanceDB, serverless OSS vector search for multimodal data. Formerly TubiTV/Cloudera/Pandas. @lancedb github.com/lancedb/lancedb San Francisco Joined June 2009-
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🗨️ Interested in building a "Chat with PDF" application? Check out our newest tutorial featuring @chainlit_io @lancedb and @LangChainAI 🗨️ Demo: buff.ly/3JlNaIl Code: buff.ly/4cUqTPr Sign up for Ploomber Cloud: buff.ly/3vNMfNQ
During this weeks @probabl_ai livestream I will work on a KNNClassifier that uses a VectorDB as a backend. In particular, I'll explore @lancedb and maybe run a benchmark or two 😄. If that sounds fun, feel free to join here: youtube.com/live/HIRJFYncE…
Warning for future guests - @ianlivingstone is great at making you feel like your takes need to get spicier and spicier. Make sure you know what you’re willing to go public with 😂
Warning for future guests - @ianlivingstone is great at making you feel like your takes need to get spicier and spicier. Make sure you know what you’re willing to go public with 😂
Why do we need multi-modal data formats & tensor lakes? In our latest ep, @tnachen and I chat with @changhiskhan about his work on @lancedb & the growing need for new data lakes that support multi-modal data to unlock the opportunity for LLM & AI. podcasters.spotify.com/pod/show/yet-a…
Hey everyone, I'm super excited to share something I've been working on – my new podcast, How AI Is Built. If you're curious about what goes into building AI, go check it out. In our first episode, I sit down with @changhiskhan . Chang is one of the original creators of Pandas.…
Not only that. It’s time to think beyond just vectors, especially for multimodal AI. Where are you going to store the images/videos? What will your training / fine-tuning datasets look like? How do we go from dot product as a service to full featured AI data management?
Not only that. It’s time to think beyond just vectors, especially for multimodal AI. Where are you going to store the images/videos? What will your training / fine-tuning datasets look like? How do we go from dot product as a service to full featured AI data management?
If every Chic fil a run a k8s cluster there’s no reason why every ihop can’t run an LLM to interact with customers
If every Chic fil a run a k8s cluster there’s no reason why every ihop can’t run an LLM to interact with customers
Qwen 0.5B vs 1.8B. by my user in one of the WeChat groups. Lmao🦭
Ok on the one hand, I might have made my talk hot take too spicy 🌶️ on the other hand Leroy Jenkins
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Incredible work from the folks at @lancedb with really exciting improvements in Lance v2! We're especially excited about the abolishment of the concept of "rowgroups". #NoMoreRowGroups
🚀Exciting News: The Lance columnar format was a game-changer in efficiently managing AI/ML workloads. But hold onto your hats because Lance v2 is here, and it's going to blow your mind! 🤯 blog.lancedb.com/lance-v2/
There are weeks where decades happen.. - @supabase @tembo_io @neondatabase go GA - @lancedb's Lance2 unveiled - @ApacheArrow DataFusion graduates to TLP in Apache - @auto_dba emerges from stealth .. and what else? I feel like I forgot some stuff ..
Sql Server is nosediving. Great product, but I think we are witnessing a generational change where younger people just don’t know it even exists
@changhiskhan @lancedb great write-up on the new format!
@changhiskhan @lancedb Congrats on this major release! 🎉
@changhiskhan @lancedb Really enjoyed the read @changhiskhan! Very thoughtful design per usual. I can think of a few other projects that might benefit. Check it @rauchg, @criccomini, @lancedb is gonna get #moregoated.
@fishnets88 @probabl_ai @lancedb That’s so cool! With functime.ai, we use lanceDB for our ANN forecaster as well!
🗨️ Interested in building a "Chat with PDF" application? Check out our newest tutorial featuring @chainlit_io @lancedb and @LangChainAI 🗨️ Demo: buff.ly/3JlNaIl Code: buff.ly/4cUqTPr Sign up for Ploomber Cloud: buff.ly/3vNMfNQ
During this weeks @probabl_ai livestream I will work on a KNNClassifier that uses a VectorDB as a backend. In particular, I'll explore @lancedb and maybe run a benchmark or two 😄. If that sounds fun, feel free to join here: youtube.com/live/HIRJFYncE…
The next episode of How AI Is Built is here: AI Powered Data Transformation, Combining gen & trad AI, Semantic Validation. If you're curious about what goes into building AI, go check it out. In this episode, I chat with @abustamante, founder of bem.ai. bem…
Why do we need multi-modal data formats & tensor lakes? In our latest ep, @tnachen and I chat with @changhiskhan about his work on @lancedb & the growing need for new data lakes that support multi-modal data to unlock the opportunity for LLM & AI. podcasters.spotify.com/pod/show/yet-a…
when i see someone copying my tweet and they are getting more engagement than their normal tweets - i know i have made it😂
Hey everyone, I'm super excited to share something I've been working on – my new podcast, How AI Is Built. If you're curious about what goes into building AI, go check it out. In our first episode, I sit down with @changhiskhan . Chang is one of the original creators of Pandas.…
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