fit nerd 🏋🏽♀️🤓
Boston 📍
nnennahacks.com
Met some folks from Red Hat’s AI teams and an architect from Cisco 👩🏽💻
Diverse, super technical crowd.
Met some folks from Red Hat’s AI teams and an architect from Cisco 👩🏽💻
Diverse, super technical crowd.
All I can say is WOW. 3 hours of pure intellectual insight & discussion. 🙌🏽
I got to ask THE Pat Gelsinger what he thought about synthetic data generation for LLMs. I’m still shaking from that moment. 😆
All I can say is WOW. 3 hours of pure intellectual insight & discussion. 🙌🏽
I got to ask THE Pat Gelsinger what he thought about synthetic data generation for LLMs. I’m still shaking from that moment. 😆
I was particularly intrigued by the concept of “Semantic Cache” in LLMs.
More research to do on this later 👩🏽💻
I was particularly intrigued by the concept of “Semantic Cache” in LLMs.
More research to do on this later 👩🏽💻
- uploaded content for context 📈
- stated a goal 🎯
- defined how to achieve that goal 🪜
- mentioned details on expected output 📝
- provided extra context for safe measure 💡
- uploaded content for context 📈
- stated a goal 🎯
- defined how to achieve that goal 🪜
- mentioned details on expected output 📝
- provided extra context for safe measure 💡
All those years of writing code in Python has lowered the barrier of entry to hands-on ML & AI engineering practice (for me), since it’s such a widely used programming language for these areas.
All those years of writing code in Python has lowered the barrier of entry to hands-on ML & AI engineering practice (for me), since it’s such a widely used programming language for these areas.
@deeplearningai.bsky.social
@deeplearningai.bsky.social
👩🏽💻☕️
👩🏽💻☕️
From a methodological perspective, I’ll read the MIT-IBM research paper on LAB (Large-scale Alignment for Chatbots) to better understand the project’s underlying mechanisms.
From a methodological perspective, I’ll read the MIT-IBM research paper on LAB (Large-scale Alignment for Chatbots) to better understand the project’s underlying mechanisms.
Loved it. So clear and thorough. TBC.
Loved it. So clear and thorough. TBC.