Practical AI
Practical AI LLC
Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).
The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Episodes
Mentioned books
58 snips
Dec 11, 2024 • 52min
Sidekick is an AI Shopify expert
Mike Tamir, a distinguished ML engineer and Head of Machine Learning at Shopify, joins Matt Colyer, Director of Product Management for Sidekick, to discuss Shopify's AI capabilities. They dive into how generative AI enhances the e-commerce experience through tools like Sidekick, which acts as an AI assistant for merchants. The conversation also touches on the integration of large language models to improve customer service and operational efficiency, as well as the impact of AI on modern branding strategies.
21 snips
Dec 4, 2024 • 50min
Full-duplex, real-time dialogue with Kyutai
In this discussion, Alexandre Défossez, scientist and co-founder of Kyutai, dives into the revolutionary real-time speech assistance technology developed by his open science lab. He highlights the innovative MOSHI model that enables seamless dialogue, contrasting it with traditional systems. Défossez also explores the evolving AI landscape in France, emphasizing the growing independence from major tech giants. The conversation wraps up with insights into the future of AI beyond existing models and the importance of diverse datasets in training robust systems.
29 snips
Nov 29, 2024 • 53min
Clones, commerce & campaigns
The discussion kicks off with the potential impact of a Trump second term on AI policies and innovation. They explore groundbreaking models like Qwen that challenge the norms between open and closed systems. The conversation shifts to new AI tools designed for enhancing shopping experiences and business integration. Importantly, they examine the balance between digital convenience provided by AI and the need for authentic human connections in a tech-driven world.
67 snips
Nov 19, 2024 • 52min
scikit-learn & data science you own
Yann Lechelle, CEO at Probabl, and Guillaume Lemaitre, an open-source engineer, dive into the vital role of scikit-learn in data science. They explore the origins of Probabl, its commitment to advancing open-source technologies, and the impact of scikit-learn on various industries. The duo discusses the integration of large language models to enhance these tools, the importance of community engagement, and future goals for scikit-learn, including aspirations for a certification program and the ongoing journey of supporting newcomers in data science.
57 snips
Nov 13, 2024 • 50min
Creating tested, reliable AI applications
Frustrated by AI's inconsistencies? Discover how to bridge the gap between prototype and production. Explore the challenges of unreliable code in interactive notebooks and learn about innovative testing strategies for robust AI applications. Dive into the latest AI trends and the rise of open-source solutions while uncovering how Timescale integrates with Postgres for seamless AI development. Don't miss the intriguing insights on cutting-edge sleep technology and its potential for improving REM sleep!
26 snips
Nov 5, 2024 • 55min
AI is changing the cybersecurity threat landscape
Gregory Richardson and Ismael Valenzuela from BlackBerry dive into the evolving cybersecurity landscape shaped by AI. They discuss the 'AI standoff' between cyber attackers and defenders, highlighting the critical role of human insight in defense strategies. The duo examines how AI enhances threat detection while emphasizing the importance of not solely relying on technology. They also touch on the increasing sophistication of cyber threats and the financial incentives driving cybercrime, calling for a cohesive cybersecurity approach.
17 snips
Oct 29, 2024 • 52min
The path towards trustworthy AI
Elham Tabassi, Chief AI Advisor at NIST, Avthar Suothin from Timescale, and David Hsu, CEO of Retool, dive into the essential topic of trustworthy AI. They discuss NIST's AI Risk Management Framework and its pivotal role in ensuring safe AI development, particularly in sensitive areas like healthcare. The conversation highlights privacy concerns in data management and the importance of transparent frameworks. They also explore the evolution of AI risk management and the significance of community feedback in shaping effective guidelines.
20 snips
Oct 24, 2024 • 50min
Big data is dead, analytics is alive
Till Döhmen, a key contributor at MotherDuck, and Kurt Mackey, CEO of Fly.io, discuss the evolution of analytics beyond the big data hype. They highlight DuckDB's ability to execute rapid analytics queries on local machines, transforming data workflows. The conversation touches on AI's intersection with analytics, exploring topics like text-to-sql and vector search. They also emphasize DuckDB's role in enhancing workflows for data scientists and how it competes with traditional cloud services, offering simpler and more efficient solutions.
33 snips
Oct 15, 2024 • 58min
Practical workflow orchestration
Adam Azzam, a principal product manager at Prefect, and Michael Greenwich, CEO of WorkOS, dive into the complexities of workflow orchestration in AI applications. They discuss how Prefect’s open-source library tackles the pains of managing workflows and introduces tools like Marvin for real-time support. The conversation highlights the importance of error management, visibility in pipelines, and the seamless integration of enterprise features for faster product development, showcasing innovative solutions for modern engineers.
5 snips
Oct 9, 2024 • 57min
Towards high-quality (maybe synthetic) datasets
David Berenstein, a developer advocate engineer at Hugging Face, and Ben Burtenshaw, a machine learning engineer at Argilla, dive into the crucial realm of data quality in AI. They discuss how collaboration between domain experts and data scientists significantly enhances model efficacy. The conversation covers innovative strategies for generating synthetic datasets, utilizing AI for labeling, and maintaining privacy. The duo also shares insights on the importance of effective feedback loops and multimodal data integration for refining AI training.
