Sage Elliott

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Sage Elliott

Sage Elliott

@sagecodes

AI @union_ai | Hosting AI Book Club | Teaching: MLOps, LLMs, GenAI, Computer Vision, and Robotics.

Seattle, WA Katılım Haziran 2010
613 Takip Edilen1.6K Takipçiler
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Sage Elliott
Sage Elliott@sagecodes·
The Flyte 2.0 SDK is officially here: This release brings some really exciting local development features that you can right out of the box even with connecting to Kubernetes or Docker! The features I've been loving to my local AI workflows: - Terminal User Interface (live workflows and history) - HTML Reports (tracks to workflow version - Caching (skip rerunning a task by reading from cache) - Retries (auto retry a task if it fails - super useful for API calls) - And more All this together gives you: - great lightweight experiment tracking - a lift in reliability - a great interface for debugging large pipelines or AI agent runs I can't wait to show you whats next in both Flyte and @union_ai
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Sage Elliott
Sage Elliott@sagecodes·
It's Friday, which means it's time to explore another awesome AI tool together on a stream! This week we're taking a look at using @tavilyai to add high quality search results to agents! You can use Tavily to search, extract, crawl and map the web. We'll take a look at the API for doing each of these. I'll also show an example of using with a production grade research agent built with LangGraph and Flyte (What you see in the video). We'll also take a look at what else the community has built. Every week we're diving into a new AI engineering tool or concept: You're encouraged to build and learn as well and join the discussion!
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Google DeepMind
Google DeepMind@GoogleDeepMind·
Meet Gemma 4: our new family of open models you can run on your own hardware. Built for advanced reasoning and agentic workflows, we’re releasing them under an Apache 2.0 license. Here’s what’s new 🧵
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Rizèl Scarlett 🇦🇬🇬🇾
lol how come every time u do a final round interview..the interviewer goes on vacation so now u gotta wait longer to figure out if youre getting an offer
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Sage Elliott
Sage Elliott@sagecodes·
And if you're traveling the downtown core or north you get trains about every 4 minutes now!
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Sage Elliott
Sage Elliott@sagecodes·
Lightrail now goes from Seattle to Bellevue and Redmond. The commute to the East side is great for me now 😊
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Sage Elliott
Sage Elliott@sagecodes·
Oh and if you're from that company/ project you'd be welcome to join the stream and talk about it!
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Sage Elliott
Sage Elliott@sagecodes·
What vector database should I use for a community stream on RAG / context storage? I've used several and they're all good / similar to me. Any one you absolutely love?
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Shivasurya
Shivasurya@sshivasurya·
@rasbt Congrats again! Just got one through manning.com for some reasons it's not available through O'Reilly :(
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Sebastian Raschka
Sebastian Raschka@rasbt·
It’s done. All chapters of Build A Reasoning Model (From Scratch) are now available in early access. The book is currently in production and should be out in the next months, including full-color print and syntax highlighting. There’s also a preorder up on Amazon.
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Sage Elliott
Sage Elliott@sagecodes·
Is every reinforcement learning book written in 2020 or before?
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jenn ☀️
jenn ☀️@jennsun·
overheard a new insult: you have a short context window 💀
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Sage Elliott
Sage Elliott@sagecodes·
I'm excited to start something new: The AI build and Learn series. a weekly-ish AI engineering stream where we pick a new topic and learn by building together. ​The first one will cover Model Context Protocol (MCP), an open standard that helps AI models connect to tools, data sources, and apps through a consistent interface. My goal for this stream ​- MCP concepts overview ​- Hands-on demo ​- Discussion + practical examples ​- Community challenge (optional) ​Try spending 30–90 minutes during the week learning or building something related to MCP, then share what you’re working on in Slack. I'll be using Flyte 2 in most of my pipelines, but you're not required to! Let me know which topics you'd like to do next!
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Sage Elliott
Sage Elliott@sagecodes·
Correction: awhile since I've done RL in an environment like this. I've down RL on LLM post training
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Sage Elliott
Sage Elliott@sagecodes·
It's been awhile since I've done reinforcement learning. I'm really loving the Flyte reports in @union_ai for looking at iterations! This is with OpenEnv
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