Data Engineering, AI, LLMs & RAGs ⚡
🎓 Master’s in Applied Data Science @ SJSU
📦 ex-Data Engineer @ Infosys
🚀Exploring Agentic Systems & AI Infralinkedin.com/in/satyaprakas… San Jose, CAJoined April 2020
DeepMind built a simple RAG technique that:
- reduces hallucinations by 40%
- improves answer relevancy by 50%
Let's understand how to use it in RAG systems (with code):
AI Agents are terrible at long-horizon tasks.
Even the new GPT-5 model struggles with long-horizon tasks.
This is one of the most pressing challenges when building AI agents.
Pay attention, AI devs!
This is a neat paper that went largely unnoticed.
Here are my notes:
Today we release gpt-oss-120b and gpt-oss-20b—two open-weight LLMs that deliver strong performance and agentic tool use.
Before release, we ran a first of its kind safety analysis where we fine-tuned the models to intentionally maximize their bio and cyber capabilities 🧵
Join us on June 6 at 6pm in SF for an evening dedicated to ETL and data processing tools and their impact on data reporting.
@AirbyteHQ and I will moderate a panel featuring data veterans such as Michel Tricot (CEO at Airbyte), @floydophone (CEO at Dagster Labs), @DavidKrakov…
For one day only, General Catalyst invited 20 of San Francisco’s top AI entrepreneurs to showcase what’s possible with AI.
Live product and raw code only. No pitches. No bullshit.
Here’s what we saw at the @cerebral_valley co-working demo session at @generalcatalyst (🧵):
Last May I wrote about The Great Cloud Data NRR Squeeze, startup vs. enterprise $SNOW usage patterns, and predatory tactics targeting junior employees.
Now customers are defaulting on this credit squeeze and Snowflake's RPOs should be viewed as fantasy.
medium.com/@laurengreerba…
Last May I wrote about The Great Cloud Data NRR Squeeze, startup vs. enterprise $SNOW usage patterns, and predatory tactics targeting junior employees.
Now customers are defaulting on this credit squeeze and Snowflake's RPOs should be viewed as fantasy.
medium.com/@laurengreerba… https://t.co/lQS4wsjBhA
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