Practical AI: Machine Learning, Data Science, LLM

Changelog Media
Practical AI: Machine Learning, Data Science, LLM

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!

  1. 24 FÉVR.

    GenAI hot takes and bad use cases

    It seems like all we hear about are the great use cases for GenAI, but where should you NOT be using the technology? On this episode Chris and Daniel share their hot takes and bad use cases. Some may surprise you!

    31 min

  2. 14 FÉVR.

    Tool calling and agents

    It seems like everyone is uses the term "agent" differently these days. In this episode, Chris and Daniel dig into the details of tool calling and its connection to agents. They help clarify how LLMs can "talk to" and "interact with" other systems like databases, APIs, web apps, etc. Along the way they share related learning resources.

    45 min

  3. 31 JANV.

    Deep-dive into DeepSeek

    There is crazy hype and a lot of confusion related to DeepSeek's latest model DeepSeek R1. The products provided by DeepSeek (their version of a ChatGPT-like app) has exploded in popularity. However, ties to China have raised privacy and geopolitical concerns. In this episode, Chris and Daniel cut through the hype to talk about the model, privacy implications, running DeepSeek models securely, and what this signals for open models in 2025.

    51 min

  4. 23 JANV.

    Video generation with realistic motion

    We seem to be experiencing a surge of video generation tools, models, and applications. However, video generation models generally struggle with some basic physics, like realistic walking motion. This leaves some generated videos lacking true motion with disappointing, simplistic panning camera views. Genmo is focused on the motion side of video generation and has released some of the best open models. Paras joins us to discuss video generation and their journey at Genmo.

    45 min

  5. 19/12/2024

    Mozart to Megadeath at CHRP

    Daniel and Chris groove with Jeff Smith, Founder and CEO at CHRP.ai. Jeff describes how CHRP anonymously analyzes emotional wellness data, derived from employees' music preferences, giving HR leaders actionable insights to improve productivity, retention, and overall morale. By monitoring key trends and identifying shifts in emotional health across teams, CHRP.ai enables proactive decisions to ensure employees feel supported and engaged.

    54 min

  6. 11/12/2024

    Sidekick is an AI Shopify expert

    Today, Chris explores Shopify Magic and other AI offerings with Mike Tamir, Distinguished ML Engineer and Head of Machine Learning, and Matt Colyer, Director of Product Management for Sidekick. They talk about how Shopify uses generative AI and LLMs to enhance their products, and they take a deeper dive into Sidekick, a first-of-its-kind, AI-enabled commerce assistant that understands a merchant’s business (products, orders, customers) and has been trained to know all about Shopify.

    52 min

  7. 04/12/2024

    Full-duplex, real-time dialogue with Kyutai

    Kyutai, an open science research lab, made headlines over the summer when they released their real-time speech-to-speech AI assistant (beating OpenAI to market with their teased GPT-driven speech-to-speech functionality). Alex from Kyutai joins us in this episode to discuss the research lab, their recent Moshi models, and what might be coming next from the lab. Along the way we discuss small models and the AI ecosystem in France.

    50 min

  8. 29/11/2024

    Clones, commerce & campaigns

    Chris and Daniel dive into what Trump’s impending second term could mean for AI companies, model developers, and regulators, unpacking the potential shifts in policy and innovation. Next, they discuss the latest models, like Qwen, that blur the performance gap between open and closed systems. Finally, they explore new AI tools for meeting clones and AI-driven commerce, sparking a conversation about the balance between digital convenience and fostering genuine human connections.

    53 min
Tout afficher (306)

Bande-annonce

4,3
sur 5
169 notes

À propos

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!

Informations

Vous aimeriez peut‑être aussi

Pour écouter des épisodes au contenu explicite, connectez‑vous.

Recevez les dernières actualités sur cette émission

Connectez‑vous ou inscrivez‑vous pour suivre des émissions, enregistrer des épisodes et recevoir les dernières actualités.
Choisissez un pays ou une région

Afrique, Moyen‑Orient et Inde

Asie‑Pacifique

Europe

Amérique latine et Caraïbes

États‑Unis et Canada