CTO & Co-Founder at https://xitter.cf/t.co/l3GZZc31FW. ex SQL @ Snowflake, Member of Apache Software Foundation

Joined June 2009
Wangda Tan retweeted
Mobile ALOHA's hardware is very capable. We brought it home yesterday and tried more tasks! It can: - do laundry👔👖 - self-charge⚡️ - use a vacuum - water plants🌳 - load and unload a dishwasher - use a coffee machine☕️ - obtain drinks from the fridge and open a beer🍺 - open doors🚪 - play with pets🐱 - throw away trash - turn on/off a lamp💡 Project website: mobile-aloha.github.io/ Co-lead @tonyzzhao, advised by @chelseabfinn (amazing photographing from @qingqing_zhao_ )
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Wangda Tan retweeted
AlphaCode-2 is also announced today, but seems to be buried in news. It's a competitive coding model finetuned from Gemini. In the technical report, DeepMind shares a surprising amount of details on an inference-time search, filtering, and re-ranking system. This may be Google's Q*? 🤔 They also discussed the finetuning procedure, which is 2 rounds of GOLD (an offline RL algorithm for LLM from 2020), and the training dataset. AlphaCode-2 scores at 87% percentile among the human competitors. Don't miss it: storage.googleapis.com/deepm…
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Building advanced text-to-SQL is hard. Building advanced QA over both structured and unstructured docs is even harder. We’re excited to feature a blog by @leftnoteasy (Waii.ai) - build an agent that can query enterprise-grade DB’s along with PDF data, with @llama_index + Waii.ai The enterprise text-to-SQL consists of the following: ✅ Knowledge Graph modeling metadata/query history to help table/schema selection ✅ Semantic rules: guide producing the right queries ✅ Automatic error correction through query compiler We use this over a SQL database of retail data, and combine this with a @llama_index RAG pipeline over a Deloitte PDF report. This allows our agent to compare the structured/unstructured data ⚖️ - e.g. the top items sold during the holidays. Check out the full blog! blog.llamaindex.ai/llamainde… Notebook: colab.research.google.com/dr… Signup with Waii here: waii.ai/#request-demo
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Data architectures continually need to evolve, as with everything else. It's been a long journey... excited to unveil what we've been considering key, & effecting, for a while: a path to consistent architectures & experiences on-prem, multi-cloud, edge. xitter.cf/hortonworks/status/103…
"Today, we are excited to announce the Open Hybrid Architecture initiative – the last mile of our endeavor to deliver on the promise of hybrid. " @acmurthy #hortonworks hortonworks.com/blog/bringin…
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There’s scale and there’s @Microsoft level scale! @raghurwi On how Microsoft drives exabyte analytics on the world’s largest #Apache #Hadoop YARN cluster azure.microsoft.com/blog/how…
Migrating Hadoop 2.x clusters to Hadoop 3.0. Hear it out from @rohithsharmaks and Suma Shivaprasad @DataWorksSummit #DWS18 in SanJose, CA. dataworkssummit.com/san-jose… – at Sunnyvale, CA
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Congratulations to the @hadoop community for releasing #Hadoop 3.1.0! Here's a quick look at the amount of work the community put into this, great job! bit.ly/2GJS6oC @TheASF
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HADOOP-13786: coming to an object store near you in Spring 2018! steveloughran.blogspot.co.uk…
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Introducing @Hortonworks Dataplane Service: A big, bold, step forward - for the enterprise, and for us! hortonworks.com/blog/categor…
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I'm biased, but I thought @Tshooter's demo (courtesy @leftnoteasy) was the coolest of #DWS17... no? 🙌 (Meanwhile, got to fix the demo bug!)
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A very impressive demonstration of data powered auto insurance by @Progressive #HadoopSummit #HS16SJ
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.@pcnudde talking about #Yahoo using custom #Hadoop #YARN apps together with Node labels / High CPU machines for learning. #hadoopsummit
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What the Sun looks like from each of the planets.
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Founded Apache Ambari (#ambari) w/ @Owen & @ddraj @hortonworks ! Feeling excited to contribute back from @pivotal ! Committed to @hadoop !
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Wangda Tan retweeted
Let your creativity fly! Suggest logos for Apache Tez at issues.apache.org/jira/brows…
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Wangda Tan retweeted
Apache Hive already provides both batch AND interactive SQL IN Hadoop. why do people still paint it as batch only? must be personal.
Replying to @jaykreps
.@jaykreps Amazing how many people miss the advantage of a scalable event store (e.g. Kafka) in stream processing architectures...
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