Wangda Tan @leftnoteasy
CTO & Co-Founder at https://t.co/l3GZZc31FW. ex SQL @ Snowflake, Member of Apache Software Foundation Joined June 2009-
Tweets120
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Followers218
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Following264
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Likes275
Wangda Tan retweeted
@isotopes_ai 10/ @Julie188 has coverage on @isotopes_ai over @TechCrunch: techcrunch.com/2025/09/05/sca…
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…
Wrote a blog post about how to build an enterprise-ready Text-to-SQL system, plan to build one yourself? Check out the post! medium.com/querymind/buil…
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…
Excited to feature in @llama_index's blog! 🚀 We're blending text-to-SQL with PDF data for powerful enterprise solutions. Check it out! 👉
Excited to feature in @llama_index's blog! 🚀 We're blending text-to-SQL with PDF data for powerful enterprise solutions. Check it out! 👉
Wangda Tan retweeted
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…
Fine-Tuned GPT-3.5 vs. GPT-4 For SQL Generation The results? We found that the fine-tuned version outperformed GPT-4, achieving higher accuracy at 1/3 of the cost! We also explore how fine-tuning affects readability and SQL statements usage. link: medium.com/querymind/fine… 🚀
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