Rustem Feyzkhanov

[Alex Ratner @ajratner]

Agentic AI will transform every enterprise–but only if agents are trusted experts.

The key: Evaluation & tuning on specialized, expert data.

I’m excited to announce two new products to support this–@SnorkelAI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D!

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Snorkel Evaluate is our new data-centric agentic AI evaluation platform for specialized, mission-critical enterprise settings where vibe checks and out-of-the-box metrics driven by simple LLM prompts are not enough.

Snorkel Expert Data-as-a-Service is our white glove service for expert-level AI datasets, powering frontier LLM developers in areas like expert knowledge, reasoning, agentic action and tool use, and more!

Both built on top of @SnorkelAI’s Data Development Platform, using our programmatic technology to drive higher-quality expert data, faster– for getting specialized AI to real production value.

If you’re building enterprise AI and want to partner around the key ingredient in AI today–the data–book a demo and let's talk! https://t.co/w0J8izpn8p

Finally, see thread for details on 🧵👇
- 📽️ A walkthrough of Snorkel Evaluate and Expert Data-as-a-Service on an agentic AI enterprise task
- 📅 An upcoming event on Enterprise Agentic AI with innovators from @Accenture @BNY @Comcast @Stanford @QBE & others
- 📊 An upcoming series of benchmark datasets and model artifact releases

👀 Want early access to the full agentic AI dataset? Retweet this post and we'll send you the link!

[Embedded Vision Summit @EmbVisionSummit]

Looking to efficiently scale machine learning solutions from research to production? Join us to hear Rustem Feyzkhanov, Machine Learning Engineer at @instrumentalinc, present his talk at the Embedded Vision Summit, May 20-22:

https://t.co/AiPJNvOfrm

[Rustem Feyzkhanov @Ryfeus]

Hey folks. Happy to share my blog post on how to use AWS Lambda SnapStart for LLM inference https://t.co/EFlygMTXzC
Quick summary: exciting, but limited to frameworks which are both small (250MB zip limit) and can load the models from memory, not hard disk (512MB limit).

[Amazon Web Services @awscloud]

Dive deep into #generativeAI at #AWSreInvent. ☁️ ⚙️ 🤖

AWS #MachineLearning Hero @ryfeus shares an Attendee Guide that highlights the re:Invent sessions that will help you navigate the rapidly evolving landscape of generative models.

Learn more. 👉 https://t.co/rhMz89o45r

[Chris Williams @mistwire]

Day 1 of the @awscloud Hero Summit (super NDA so no screenshots 😅)
A LOT of brainpower in this room 🤯😳

[Ken Collins @metaskills]

Bus 🚌 trip!!!

[AWS Developers @awsdevelopers]

Let's scale, community! #AWSHero @Ryfeus has a new article on how to create a Scalable Cloud inference endpoint. https://t.co/FDnN73z3rX

[Instrumental @instrumentalinc]

Excited to announce that @AlonBenShoshan has joined Instrumental as our Chief Business Officer as we look to enable the world's most admired electronics brands to build better products.

Check out the news here! https://t.co/6dBZ4lNVzN

[Ken Collins @metaskills]

🎁 HAPPY HOLIDAYS!!! 🎁

New Lamby v4 site using @Docusaurus is now live. What do y’all think?

[Hiromi Ito🌞🌏✈︎Que será, será @hiro_baila]

Yesterday was another great night🤩🤟It was great fun to see so many friends again and meet new ones. We all had a lot of fun talking about our countries and keynotes🥳#reInvent2022
@colors4ideas @franciscoed @vfcarida @Ryfeus @antonbabenko

[Farrah C @FarrahC32]

If you are attending @AWSreInvent I hope you find time to stop by the Modern Applications and Open Source Zone. Starting at 9 am tomorrow in the Ventian (Third Floor, East Alcove).
Find us in the session catalog (ACT083) or at: https://t.co/bPxvAxMZSV
(cont'd)

[Ross Barich @rossbarich]

Attending AWS #reInvent? Don't miss the #AWSCommunity session track, led by AWS Heroes!

⭐️ Favorite in the re:Invent session guide now, & grab a seat when reserved seating launches October 11, 10AM PDT:

https://t.co/ovcDIf0ek4

[Mike Fiedler, Code Gardener @mikefiedler]

For those looking to squeeze a few more milliseconds out of Python Lambdas, here's a tip that can help! https://t.co/FGQiry3TAc

[Anton Babenko 🇺🇦 @antonbabenko]

Let's gather as many people as possible and have interesting face-to-face discussions in #Paris on the 11th of October!

Join us if you are curious about #DevOps, #Infrastructure as Code, #Terraform, #Pulumi, #CDKs, and everything in between!

https://t.co/NRQKjP52ry

[Adam Selipsky @aselipsky]

Best part of #reInvent is connecting with customers, partners, and teammates!

[Vlad Ionescu (he/him) @iamvlaaaaaaad]

How should you run new (production) containers on AWS?

I wanted to write a longer blog post about this, but 🤷. So, here's a flowchart!

Because I know people will "But actually", there's a second version of the flowchart with some notes.

[Marc Brooker @MarcJBrooker]

"Analyzing Tail Latency in Serverless Clouds with STeLLAR" by @DmitriiUstiugov and team is a good read. It's great to see progress on ways to compare serverless performance, and to categorize the behavior of different serverless implementations. https://t.co/6O8VR0LRpn

[Rustem Feyzkhanov @Ryfeus]

Learn about Machine Learning Infrastructure sessions at AWS Summit. AWS Summit is free and sessions can be watched on-demand.
https://t.co/cU6y1Gf1gI
@awscloud #awscommunity #machinelearning

[Rustem Feyzkhanov @Ryfeus]

Blogpost about using custom docker image with SageMaker + AWS Step Functions. Everything is deployed using the serverless framework.
https://t.co/UbDDvudDsS
#aws #serverless #sagemaker #deeplearning

[Rustem Feyzkhanov @Ryfeus]

@emrahsamdan @ServerlessdaysV @adrianco @lynnaloo @richbuggy @willvelida @allPowerde Thank you very much for organizing the event!