YOLOv9: Computer vision is alive and well

YOLOv9: Computer vision is alive and well

Author: Practical AI LLC March 6, 2024 Duration: 42:46

While everyone is super hyped about generative AI, computer vision researchers have been working in the background on significant advancements in deep learning architectures. YOLOv9 was just released with some noteworthy advancements relevant to parameter efficient models. In this episode, Chris and Daniel dig into the details and also discuss advancements in parameter efficient LLMs, such as Microsofts 1-Bit LLMs and Qualcomm’s new AI Hub.


Sponsors:

  • Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today
  • Fly.ioThe home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs
  • SentryLaunch week! New features and products all week long (so get comfy)! Tune in to Sentry’s YouTube and Discord daily at 9am PT to hear the latest scoop. Too busy? No problem - enter your email address to receive all the announcements (and win swag along the way). Use the code CHANGELOG when you sign up to get $100 OFF the team plan. 
  • Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! 

Featuring:

Show Notes:

YOLOv9:

Parameter efficient LLMs:

Upcoming Events: 


There's a lot of noise out there about artificial intelligence, but cutting through the hype to find what's genuinely useful can be a challenge. That's the space where Practical AI operates. Hosted by the team at Practical AI LLC, this technology podcast moves beyond abstract theory to explore how AI, machine learning, and large language models are actually being applied right now. Each episode features unscripted conversations with a diverse mix of experts, developers, business leaders, and curious minds. You'll hear tangible discussions about implementing machine learning systems, the realities of MLOps, the evolution of neural networks, and the practical implications of breakthroughs in deep learning and GANs. The dialogue is grounded in real-world scenarios, focusing on how these technologies solve problems, drive productivity, and create value in accessible ways. Whether you're a professional building models, a business person integrating AI tools, or an enthusiast eager to understand the landscape, this podcast offers a clear, conversational entry point. It’s about making sense of a complex field through the lens of practical application, demystifying the concepts that are shaping our world without losing sight of how they work on the ground.
Author: Language: en-us Episodes: 100

Practical AI
Podcast Episodes
While loops with tool calls [not-audio_url] [/not-audio_url]

Duration: 44:45
Dan and Chris sit down (again) with Jared Zoneraich, co-founder and CEO of PromptLayer, to discuss how prompt engineering has evolved into context engineering (and while loops with tool calls). Jared shares insights on b…
Tiny Recursive Networks [not-audio_url] [/not-audio_url]

Duration: 48:23
In this fully connected episode, Daniel and Chris explore the emerging concept of tiny recursive networks introduced by Samsung AI, contrasting them with large transformer based models. They explore how these small model…
Dealing with increasingly complicated agents [not-audio_url] [/not-audio_url]

Duration: 54:56
As AI systems move from simple chatbots to complex agentic workflows, new security risks emerge. In this episode, Donato Capitella unpacks how increasingly complicated architectures are making agents fragile and vulnerab…
The impact of AI on the workforce: A state-level case study [not-audio_url] [/not-audio_url]

Duration: 44:04
Daniel sits down with Chelsea Linder, VP of Innovation and Entrepreneurship at TechPoint, to explore the what AI innovation and impact look like on the ground. They discuss Chelsea's journey from the VC world into econom…
We've all done RAG, now what? [not-audio_url] [/not-audio_url]

Duration: 43:35
Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why e…
Creating a private AI assistant in Thunderbird [not-audio_url] [/not-audio_url]

Duration: 53:08
In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions in…
Cracking the code of failed AI pilots [not-audio_url] [/not-audio_url]

Duration: 46:44
In this Fully Connected episode, we dig into the recent MIT report revealing that 95% of AI pilots fail before reaching production and explore what it actually takes to succeed with AI solutions. We dive into the importa…
GenAI risks and global adoption [not-audio_url] [/not-audio_url]

Duration: 43:20
Daniel and Chris sit with Citadel AI’s Rick Kobayashi and Kenny Song and unpack AI safety and security challenges in the generative AI era. They compare Japan’s approach to AI adoption with the US’s, and explore the impl…
Inside America’s AI Action Plan [not-audio_url] [/not-audio_url]

Duration: 43:52
Dan and Chris break down Winning the Race: America's AI Action Plan, issued by the White House in July 2025. Structured as three "pillars" — Accelerate AI Innovation, Build American AI Infrastructure, and Lead in Interna…
Confident, strategic AI leadership [not-audio_url] [/not-audio_url]

Duration: 47:40
Allegra Guinan of Lumiera helps leaders turn uncertainty about AI into confident, strategic leadership. In this conversation, she brings some actionable insights for navigating the hype and complexity of AI. The discussi…