📣 Webinar Oct. 17th, 2:00 PM EST | Unraveling prompt engineering

Events

Meet the team and learn about our ML monitoring methodologies and best practices.
Webinars
Webinars

Unraveling prompt engineering

Join our next webinar on Unraveling Prompt Engineering! Let's take the "art" of prompt engineering and unravel it into best practices and methodologies.
October 17th, 2023 | 2:00 PM EST
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Webinars

Navigating the future: Emerging architectures for LLM applications

What are the emerging architectures for LLM applications? From data preprocessing and embedding to strategies for prompt construction and retrieval and hosting solutions for LLMs, here's what you need to know!
August 8th, 2023 | 2:00 PM EST
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Webinars

To train or not to train your LLM

Under what circumstances does training your own LLM lead to more stable outputs? Here are 3 reasons why training an LLM is advantageous and 3 reasons why relying on out-of-the-box solutions may be preferable. 
July 11th, 2023 | 2:00 PM ET
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Webinars

Meet Elemeta: Metafeature extraction for unstructured data

LLMs are everywhere, left, right, and center of any and all AI discourse these days. But we've got to be honest here, it's hard to understand how they make decisions and explain and monitor them. So earlier this week, we released into beta Elemeta, our open-source library for exploring, monitoring, and extracting features from unstructured data.
May 16th, 2023 | 1:00 PM ET
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Webinars

Improving search relevance with ML monitoring

Let's take a dive into ML systems for ranking and search relevance on architectures such as Elasticsearch and vector databases like Pinecone and what it means to monitor them for quality, edge cases, and corrupt data.
April 19nd, 2023 | 1:00 PM ET
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Webinars

Workshop: A Guide to Putting Together a Continuous ML Stack

We’ll take a hands-on dive into implementing the 1st level of MLOps maturity and performing continuous training of the model by automating our ML pipeline. We’ll start with the ML pipeline and see how we can detect performance degradation and data drift in order to trigger the pipeline and create a new model based on fresh data.
November 22nd, 2022 | 10:00 AM EST
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Webinars

Continuous MLOps pipelines: A dive into continuous training automation

In this webinar, we’ll learn how to implement the 1st level of MLOps maturity and perform continuous training of the model by automating the ML pipeline. We'll start with the ML pipeline and see how we can detect performance degradation and data drift in order to trigger the pipeline and create a new model based on fresh data.
August 16th, 2022 | 1:00 PM ET
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Webinars

A guide to multi-tenancy architectures in ML

This session will cover architectural considerations for multi-tenancy in ML, best practices in traditional software engineering that can be copy/pasted over to MLOps, as well as new considerations unique to ML
June 28th, 2022 | 10 AM ET
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Webinars

Automating ML Pipelines with Production-First Data

The Pachyderm and Superwise teams discuss how to build a scalable and automated platform, manage big data, and models retraining
June 1st, 2022 | 12:00 PM EDT
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Webinars

Model observability is all you need

Superwise ML observability platform walkthrough – model integration, production behavior analysis, monitoring policy configs, and retraining strategies
May 31, 2022 | 10:00 AM PT
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Webinars

A guide to putting together a continuous ML stack

Back by popular demand! Let’s take a dive into MLOps CI/CD + CT pipeline automation. In part 1, we’ll focus on how to put together a continuous ML pipeline to train, deploy, monitor, and retrain your models. Part 2 will focus on automations and production-first insights to detect and resolve issues faster.
Apr 19th, 2022 | Virtual
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Webinars

ML monitoring: Best practices & lessons learnt at monday.com

What happens when the #1 productivity solution needs to scale its use of AI? Check out the highlights of the webinar led by monday.com to learn the best practices of their marketing and data science teams!
April 28th, 2021 | Virtual
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