The course reviews are rolling in. Our first MLOps Community course is a 10 out of 10. Don’t take our word for it, listen to what the community is saying:
"great content 👍" - Sebastian
"you sharing this is amazing value so thank you 100X!!!” - Toran Billups
“Practical, hands on, customizable, a good starting point for building RAG systems.” - David Aponte
Register here to see what all the fuss is about. Only a few more spots left at the current price then it will go up by $100.
You know it’s going to be a good episode when the guest is someone quoted on your merch.
It was great to welcome back Vin “Kubernetes is a gateway drug” Vashishta.
In this episode, we talked about many things, but for Vin, it all came back to one thing: strategy.
Now, if you’re anything like me, that set alarm bells ringing.
Don’t worry.
The cynic in me thought the same. So I grilled him on it.
He talked me through good strategy and strategy execution – all without a PowerPoint!
This raised the need for new job roles like technical or AI strategists, how they integrate into existing teams and the shift in mindset needed.
And strategy isn’t just for organizations. One of the biggest take-aways for me was for individuals and how to use your expertise to make the entire team more capable, and how that benefits you.
Have a listen to find out what it means to be a ‘multiplier’ and click the link below:
2 postitions are available to spearhead initiatives focused on ensuring the safety and robustness of generative models, evaluating customers’ LLM-based systems, and integrating capabilities seamlessly into our platform.
Canditates will have:
Experience in training, evaluating, implementing and fine-tuning LLMs
Experience with prompt engineering, jailbreak attacks, and other adversarial inputs
Experience in building trust and safety mechanisms for ML systems
Tecton Roundtable: 21st
September
Get Your ML Application Into Production—Learn How to Overcome Common Challenges
Discover invaluable insights and best practices for efficiently getting your ML application into production while avoiding common challenges.
Tap-in to over 35 years of combined experience from 4 machine learning experts:
There’s so much good content in Slack. Almost too much. It can be hard to keep up.
That’s why I recommend signing up for the Best of Slack newsletter here.
All the good stuff in one place, like this highlight:
Improve a Script for Fine-Tuning Llama-2 7B with LoRA 🦙🎶 The challenge here is clear: How can you improve the script to fine-tune Llama-2 7B efficiently and manage
memory usage more effectively?
Thanks for reading. This issue was written by Demetrios and edited by Jessica Rudd. See you in Slack, Youtube, and podcast land. Oh yeah, and we are also on Twitter if you like chirping birds.
