x

75% of people globally want unbiased news (Pew Research) but are concerned they're not getting that.

Get balanced coverage with Symby. See how stories are covered across diverse outlets and spot when one side covers a story the other skips.

PODCAST

MLOps.community

Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)

technology

All Episodes

00:45:10

Experiment Tracking in the Age of LLMs // Piotr...

MLOps.community ·

2023/08/01

MLOps Coffee Sessions #168 with Piotr Niedźwiedź, Experiment Tracking in the Age of LLMs, co-hosted by Vishnu Rachakonda. // Abstract Piotr shares his journey as an entrepreneur and the importance of focusing on core values to achieve success. He highlights the mission of Neptune to support ML teams by providing them with control and confidence in their models. The conversation delves into the role of experiment tracking in understanding and debugging models, comparing experiments, and versioning

en-us

01:14:17

Treating Prompt Engineering More Like Code // Maxime...

MLOps.community ·

2023/07/25

MLOps Coffee Sessions #167 with Maxime Beauchemin, Treating Prompt Engineering More Like Code. // Abstract Promptimize is an innovative tool designed to scientifically evaluate the effectiveness of prompts. Discover the advantages of open-sourcing the tool and its relevance, drawing parallels with test suites in software engineering. Uncover the increasing interest in this domain and the necessity for transparent interactions with language models. Delve into the world of prompt optimization,

en-us

00:50:37

Eliminating Garbage In/Garbage Out for Analytics and...

MLOps.community ·

2023/07/18

MLOps Coffee Sessions #166 with Roy Hasson & Santona Tuli, Eliminating Garbage In/Garbage Out for Analytics and ML. // Abstract Shift left data quality ownership and observability that makes it easy for users to catch bad data at the source and stop it from entering your analytics/ML stack. // Bio Santona Tuli Santona Tuli, Ph.D. began her data journey through fundamental physics—searching through massive event data from particle collisions at CERN to detect rare particles. She’s since

en-us

00:51:29

Python Power: How Daft Embeds Models and...

MLOps.community ·

2023/07/11

MLOps Coffee Sessions #165 with Sammy Sidhu, Python Power: How Daft Embeds Models and Revolutionizes Data Processing. // Abstract Sammy shares his fascinating journey in the autonomous vehicle industry, highlighting his involvement in two successful startup acquisitions by Tesla and Toyota. He emphasizes his expertise in optimizing and distilling models for efficient machine learning, which he has incorporated into his new company Eventual. The company's open-source offering, daf, focuses on

en-us

01:00:01

Open Source and Fast Decision Making // Rob...

MLOps.community ·

2023/07/04

MLOps Coffee Sessions #164 with Rob Hirschfeld, Open Source and Fast Decision Making. This episode is brought to you by. // Abstract Rob Hirschfeld, the CEO and co-founder of Rack N, discusses his extensive experience in the DevOps movement. He shares his notable achievement of coining the term "the cloud" and obtaining patents for infrastructure management and API provision. Rob highlights the stagnant progress in operations and the persistent challenges in security and access controls

en-us

00:54:17

Democratizing AI // Yujian Tang // MLOps Podcast #163

MLOps.community ·

2023/06/27

MLOps Coffee Sessions #163 with Yujian Tang, Democratizing AI co-hosted by Abi Aryan. // Abstract The popularity of ChatGPT has brought large language model (LLM) apps and their supporting technologies to the forefront. One of the supporting technologies is vector databases. Yujian shares how vector databases like Milvus are used in production and how they solve one of the biggest problems in LLM app building - data issues. They also discuss how Zilliz is democratizing vector databases through

en-us

00:44:49

From Arduinos to LLMs: Exploring the Spectrum of ML...

MLOps.community ·

2023/06/20

MLOps Coffee Sessions #162 with Soham Chatterjee, From LLMs to TinyML: The Dynamic Spectrum of MLOps co-hosted by Abi Aryan. // Abstract Explore the spectrum of MLOps from large language models (LLMs) to TinyML. Soham highlights the difficulties of scaling machine learning models and cautions against relying exclusively on open AI's API due to its limitations. Soham is particularly interested in the effective deployment of models and the integration of IoT with deep learning. He offers

en-us

00:50:36

The Long Tail of ML Deployment // Tuhin Srivastava //...

MLOps.community ·

2023/06/13

MLOps Coffee Sessions #161 with Tuhin Srivastava, The Long Tail of ML Deployment co-hosted by Abi Aryan. This episode is brought to you by QuantumBlack. // Abstract Baseten is an engineer-first platform designed to alleviate the engineering burden for machine learning and data engineers. Tuhin's perspective, based on research with Stanford students, emphasizes the importance of engineers embracing the engineering aspects and considering them from a reproductive perspective. // Bio Tuhin

en-us

00:46:12

Clean Code for Data Scientists // Matt Sharp // MLOps...

MLOps.community ·

2023/06/07

MLOps Coffee Sessions #160 with Matt Sharp, Data Developer at Shopify, Clean Code for Data Scientists co-hosted by Abi Aryan. // Abstract Let's delve into Shopify's real-time serving platform, Merlin, which enables features like recommender systems, inbox classification, and fraud detection. Matt shares his insights on clean coding and the new book he is writing about LLMs in production. // Bio Matt is a Chemical Engineer turned Data scientist turned Data Engineer. Self-described

en-us

00:55:05

Why is MLOps Hard in an Enterprise? // Maria...

MLOps.community ·

2023/05/30

MLOps Coffee Sessions #159 with Maria Vechtomova, Lead ML engineer, and Basak Eskili Machine Learning Engineer, at Ahold Delhaize, Why is MLOps Hard in an Enterprise? co-hosted by Abi Aryan. // Abstract MLOps is particularly challenging to implement in enterprise organizations due to the complexity of the data ecosystem, the need for collaboration across multiple teams, and the lack of standardization in ML tooling and infrastructure. In addition to these challenges, at Ahold Delhaize, there is a

en-us

01:14:52

Large Language Models at Cohere // Nils Reimers //...

MLOps.community ·

2023/05/16

MLOps Coffee Sessions #158 with Nils Reimer, MLOps Build or Buy, Large Language Model at Scale co-hosted by Abi Aryan. // Abstract Large Language Models with billions of parameters have the possibility to change how we work with textual data. However, running them on scale at potentially hundred millions of texts a day is a massive challenge. Nils talks about finding the right model size for respective tasks, model distillation, and promising new ways on transferring knowledge from large to

en-us

00:24:53

Data Privacy and Security // LLMs in Production...

MLOps.community ·

2023/05/12

We are having another LLMs in-production Virtual Conference. 50+ speakers combined with in-person activities around the world on June 15 & 16. Sign up free here: https://home.mlops.community/home/events/llm-in-prod-part-ii-2023-06-20 // Abstract This panel discussion is centered around a crucial topic in the tech industry - data privacy and security in the context of large language models and AI systems. The discussion highlights several key themes, such as the significance of trust in AI

en-us

00:49:56

MLOps Build or Buy, Startup vs. Enterprise? // Aaron...

MLOps.community ·

2023/05/09

MLOps Coffee Sessions #157 with Katrina Ni & Aaron Maurer, MLOps Build or Buy, Startup vs. Enterprise? co-hosted by Jake Noble of tecton.ai. This episode is sponsored by tecton.ai - Check out their feature store to get your real-time ML journey started. // Abstract There are a bunch of challenges with building useful machine learning at a B2B software company like Slack, but we've built some cool use cases over the years, particularly around recommendations. One of the key challenges is

en-us

00:35:57

Cost/Performance Optimization with LLMs [Panel]

MLOps.community ·

2023/05/06

Sign up for the next LLM in production conference here: https://go.mlops.community/LLMinprod Watch all the talks from the first conference: https://go.mlops.community/llmconfpart1 // Abstract In this panel discussion, the topic of the cost of running large language models (LLMs) is explored, along with potential solutions. The benefits of bringing LLMs in-house, such as latency optimization and greater control, are also discussed. The panelists explore methods such as structured pruning and

en-us

00:58:30

Machine Learning Education at Uber // Melissa Barr &...

MLOps.community ·

2023/05/02

MLOps Coffee Sessions #156 with Melissa Barr & Michael Mui, Machine Learning Education at Uber co-hosted by Lina Weichbrodt. // Abstract Melissa and Michael discuss the education program they developed for Uber's machine learning platform service, Michelangelo, during a guest appearance on a podcast. The program teaches employees how to use machine learning both in general and specifically for Uber. The platform team can obtain valuable feedback from users and use it to enhance the

en-us

00:58:12

The Birth and Growth of Spark: An Open Source Success...

MLOps.community ·

2023/04/25

MLOps Coffee Sessions #155 with Matei Zaharia, The Birth and Growth of Spark: An Open Source Success Story, co-hosted by Vishnu Rachakonda. // Abstract We dive deep into the creation of Spark, with the creator himself - Matei Zaharia Chief technologist at Databricks. This episode also explores the development of Databricks' other open source home run ML Flow and the concept of "lake house ML". As a special treat Matei talked to us about the details of the "DSP" (Demonstrate

en-us

01:00:40

ML Scalability Challenges // Waleed Kadous // MLOps...

MLOps.community ·

2023/04/18

MLOps Coffee Sessions #154 with Waleed Kadous, ML Scalability Challenges, co-hosted by Abi Aryan. // Abstract Dr. Waleed Kadous, Head of Engineering at Anyscale, discusses the challenges of scalability in machine learning and his company's efforts to solve them. The discussion covers the need for large-scale computing power, the importance of attention-based models, and the tension between big and small data. // Bio Dr. Waleed Kadous leads engineering at Anyscale, the company behind the

en-us

00:48:01

[EXCLUSIVE EPISODE!] LLM Key Results

MLOps.community ·

2023/04/13

This exclusive podcast episode covers the key findings from the LLM in-production survey that we conducted over the past month. For all the data to explore yourself use this link https://docs.google.com/spreadsheets/d/13wdBwkX8vZrYKuvF4h2egPh0LYSn2GQSwUaLV4GUNaU/edit?usp=sharing Sign up for our LLM in-production conference happening on April 13th (TODAY) here:https://home.mlops.community/home/events/llms-in-production-conference-2023-04-13

en-us

01:00:22

Multilingual Programming and a Project Structure to...

MLOps.community ·

2023/04/10

MLOps Coffee Sessions #153 with Rodolfo Núñez, Multilingual Programming and a Project Structure to Enable It, co-hosted by Abi Aryan. // Abstract It's really easy to mix different programming languages inside the same project and use a project template that enables easy collaboration. It's not about what language is better, but rather what language solves the given section of your problem better for you. // Bio Rodo has been working in the "Data Space" for almost 7 years. He

en-us

00:58:44

[Bonus Episode] Practical AI x MLOps // Demetrios...

MLOps.community ·

2023/04/07

Worlds are colliding! This week we join forces with the hosts of the Practical AI podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc. --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup:

en-us

514 results

Similar Podcasts

Lead With AI

Tamara Nall

Linux in the Ham Shack

Black Sparrow Media

Data Engineering Podcast

Tobias Macey

Eye On A.I.

Craig S. Smith

Reflections

Livewire Labs