Sage Elliott

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

[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

[Sage Elliott @sagecodes]

@FrancescoCiull4 I hope you enjoy Seattle!

[Sage Elliott @sagecodes]

Chapters:
Part 1: Foundations and Core Agent Concepts
Chapter 1: GenAI in the Enterprise: Landscape, Maturity, and Agent Focus
Chapter 2: Agent-Ready LLMs: Selection, Deployment, and Adaptation
Chapter 3: The Spectrum of LLM Adaptation for Agents: RAG to Fine-tuning
Part 2: Agentic AI: Architecture and Design Patterns
Chapter 4: Agentic AI Architecture: Components and Interactions
Chapter 5: Multi-Agent Coordination Patterns
Chapter 6: Explainability and Compliance Agentic Patterns
Chapter 7: Robustness and Fault Tolerance Patterns
Chapter 8: Human-Agent Interaction Patterns
Chapter 9: Agent-Level Patterns
Chapter 10: System-Level Patterns for Production Readiness
Chapter 11: Advanced Adaptation: Building Agents That Learn
Part 3: Execution: Strategy, Use Cases, and The Future
Chapter 12: A Practical Roadmap: Implementing Agentic Patterns by Maturity Level
Chapter 13: Use Case: A Single Agent for Loan Processing
Chapter 14: Use Case: A Multi-Agent System for Loan Processing
Chapter 15: Agent Frameworks – Use Case: A Multi-Agent System for Loan Processing with CrewAI and LangGraph
Chapter 16: Conclusion: Charting Your Agentic AI Journey

[Sage Elliott @sagecodes]

June's AI book club is Agentic Architectural Patterns for Building Multi-Agent Systems. From a commuity reccomendation.

[Sage Elliott @sagecodes]

I think I'll finally try streaming on X this month as well.
But if you want better reminder for the event you can RSVP on luma: https://t.co/tfjjpPl5e0

[Sage Elliott @sagecodes]

New bike time! Looking forward to many rides this summer ☀️

[Sage Elliott @sagecodes]

@FifthCrichton E. arepas, poke, shawarma, sushi, tacos, smoothies, and dry ramen might have the most food variety and still have access to the park. (If goes to 12th you get cafe argento too)

Elliott Bay books makes f tempting though

[Sage Elliott @sagecodes]

Tempted to relive part of my childhood

[Sage Elliott @sagecodes]

@consumptive_ai Random forest!!!

[Sage Elliott @sagecodes]

When this month is over I'll have put on
- 4 AI Engineering workshops
- 4 AI engineer streams ( casual discussion and demos)
- 1 in person conference talk

Is this sustainable? We'll find out 😅

[Sage Elliott @sagecodes]

@moltclub_io @cognee_ gotta always have some sort of trace!

[Sage Elliott @sagecodes]

This Friday we'll be checking out @cognee_ ! It gives AI agents a shared, improving memory of your data, decisions, and workflows so they can recall, connect, and act with context.

Cognee is an open-source memory control plane for your Agents that lets you ingest data in any format or structure and continuously learns to provide the right context. It combines embeddings, graphs and cognitive science approaches to make your documents both searchable by meaning and connected by relationships as they change and evolve

[Sage Elliott @sagecodes]

@JE4NVRG @cognee_ Hermes keeps coming up on my timeline, will check it out soon too!

[Sage Elliott @sagecodes]

RSVP on Luma: https://t.co/6nlWQGDAz3

[Sage Elliott @sagecodes]

Checkout Cognee on gitHub: https://t.co/QyQ6ZpV0Dt

[Sage Elliott @sagecodes]

@vaibcode If you want a really good lobster roll I recommend Yankee Lobster in the seaport area. You get non tourist portions 🦞

[Sage Elliott @sagecodes]

Nothing like being on the "nice" airport wifi after conference wifi 😌

[Sage Elliott @sagecodes]

Wrapping up the embedded vision summit!

It's always incredible to see how people are pushing AI capabilities to the edge with a lot of constraints.

This was the most I've ever had people come up to me throughout the conference after my talk :)

[Sage Elliott @sagecodes]

Back in the Bay for embedded vision summit!
If you're going would love to meetup!

[Sage Elliott @sagecodes]

https://t.co/xaCEhfDstq

[Sage Elliott @sagecodes]

I'm excited to be back at Embedded Vision Summit again this year!