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AI (Artificial Intelligence)

Machines simulating human characteristics and intelligence.
317 episodes
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Practical AI Practical AI #261

Prompting the future

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2024-03-20T13:45:00Z #ai +2 🎧 30,228

Daniel & Chris explore the state of the art in prompt engineering with Jared Zoneraich, the founder of PromptLayer. PromptLayer is the first platform built specifically for prompt engineering. It can visually manage prompts, evaluate models, log LLM requests, search usage history, and help your organization collaborate as a team. Jared provides expert guidance in how to be implement prompt engineering, but also illustrates how we got here, and where we’re likely to go next.

Practical AI Practical AI #260

Generating the future of art & entertainment

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2024-03-12T17:00:00Z #ai +3 🎧 24,800

Runway is an applied AI research company shaping the next era of art, entertainment & human creativity. Chris sat down with Runway co-founder / CTO, Anastasis Germanidis, to discuss their rise and how it’s defining the future of the creative landscape with its text & image to video models. We hope you find Anastasis’s founder story as inspiring as Chris did.

Practical AI Practical AI #259

YOLOv9: Computer vision is alive and well

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2024-03-06T17:00:00Z #ai 🎧 25,654

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.

Changelog Interviews Changelog Interviews #580

Leading in the era of AI code intelligence

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2024-02-28T22:00:00Z #ai +2 🎧 17,773

This week Adam is joined by Quinn Slack, CEO of Sourcegraph for a “2 years later” catch up from his last appearance on Founders Talk. This conversation is a real glimpse into what it takes to be CEO of Sourcegraph in an era when code intelligence is shifting more and more into the AI realm, how they’ve been driving towards this for years, the subtle human leveling up we’re all experiencing, the direction of Sourcegraph as a result — and Quinn also shares his order of operations when it comes to understanding the daily state of their growth.

Practical AI Practical AI #257

Leading the charge on AI in National Security

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2024-02-20T15:15:00Z #ai +2 🎧 25,215

Chris & Daniel explore AI in national security with Lt. General Jack Shanahan (USAF, Ret.). The conversation reflects Jack’s unique background as the only senior U.S. military officer responsible for standing up and leading two organizations in the United States Department of Defense (DoD) dedicated to fielding artificial intelligence capabilities: Project Maven and the DoD Joint AI Center (JAIC).

Together, Jack, Daniel & Chris dive into the fascinating details of Jack’s recent written testimony to the U.S. Senate’s AI Insight Forum on National Security, in which he provides the U.S. government with thoughtful guidance on how to achieve the best path forward with artificial intelligence.

Changelog Interviews Changelog Interviews #578

What exactly is Open Source AI?

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2024-02-16T18:00:00Z #oss +2 🎧 17,052

This week we’re joined by Stefano Maffulli, the Executive Director of the Open Source Initiative (OSI). They are responsible for representing the idea and the definition of open source globally. Stefano shares the challenges they face as a US-based non-profit with a global impact. We discuss the work Stefano and the OSI are doing to define Open Source AI, and why we need an accepted and shared definition. Of course we also talk about the potential impact if a poorly defined Open Source AI emerges from all their efforts.

Note: Stefano was under the weather for this conversation, but powered through because of how important this topic is.

Practical AI Practical AI #256

Gemini vs OpenAI

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2024-02-14T20:00:00Z #ai +2 🎧 29,834

Google has been releasing a ton of new GenAI functionality under the name “Gemini”, and they’ve officially rebranded Bard as Gemini. We take some time to talk through Gemini compared with offerings from OpenAI, Anthropic, Cohere, etc.

We also discuss the recent FCC decision to ban the use of AI voices in robocalls and what the decision might mean for government involvement in AI in 2024.

Practical AI Practical AI #255

Data synthesis for SOTA LLMs

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2024-02-06T22:00:00Z #ai +1 🎧 24,591

Nous Research has been pumping out some of the best open access LLMs using SOTA data synthesis techniques. Their Hermes family of models is incredibly popular! In this episode, Karan from Nous talks about the origins of Nous as a distributed collective of LLM researchers. We also get into fine-tuning strategies and why data synthesis works so well.

Changelog Interviews Changelog Interviews #576

In the beginning (of generative AI)

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2024-02-02T19:30:00Z #ai +2 🎧 18,642

This week on The Changelog we’re talking with Joe Reis about data engineering and the beginning of generative AI. We discuss phone hacking via frequency, the role of a data engineer, this AI hype cycle we’re in, build vs buy, the disconnect between data analysts and the business, ethical considerations around AI-generated content, and more. We also discuss the tension between AI and traditional engineering, as well as the inevitability of AI integration into pretty much everything.

Practical AI Practical AI #254

Large Action Models (LAMs) & Rabbits 🐇

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2024-01-30T21:00:00Z #ai +2 🎧 27,258

Recently the release of the rabbit r1 device resulted in huge interest in both the device and “Large Action Models” (or LAMs). What is an LAM? Is this something new? Did these models come out of nowhere, or are they related to other things we are already using? Chris and Daniel dig into LAMs in this episode and discuss neuro-symbolic AI, AI tool usage, multimodal models, and more.

Practical AI Practical AI #253

Collaboration & evaluation for LLM apps

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2024-01-23T22:30:00Z #ai +1 🎧 27,145

Small changes in prompts can create large changes in the output behavior of generative AI models. Add to that the confusion around proper evaluation of LLM applications, and you have a recipe for confusion and frustration. Raza and the Humanloop team have been diving into these problems, and, in this episode, Raza helps us understand how non-technical prompt engineers can productively collaborate with technical software engineers while building AI-driven apps.

Practical AI Practical AI #252

Advent of GenAI Hackathon recap

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2024-01-17T20:00:00Z #ai 🎧 23,873

Recently, Intel’s Liftoff program for startups and Prediction Guard hosted the first ever “Advent of GenAI” hackathon. 2,000 people from all around the world participated in Generate AI related challenges over 7 days. In this episode, we discuss the hackathon, some of the creative solutions, the idea behind it, and more.

Practical AI Practical AI #251

AI predictions for 2024

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2024-01-10T19:30:00Z #ai +1 🎧 32,020

We scoured the internet to find all the AI related predictions for 2024 (at least from people that might know what they are talking about), and, in this episode, we talk about some of the common themes. We also take a moment to look back at 2023 commenting with some distance on a crazy AI year.

Practical AI Practical AI #250

Open source, on-disk vector search with LanceDB

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2023-12-19T19:40:00Z #ai +3 🎧 28,698

Prashanth Rao mentioned LanceDB as a stand out amongst the many vector DB options in episode #234. Now, Chang She (co-founder and CEO of LanceDB) joins us to talk through the specifics of their open source, on-disk, embedded vector search offering. We talk about how their unique columnar database structure enables serverless deployments and drastic savings (without performance hits) at scale. This one is super practical, so don’t miss it!

Practical AI Practical AI #249

The state of open source AI

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2023-12-12T19:45:00Z #oss +1
🎧 29,966

The new open source AI book from PremAI starts with “As a data scientist/ML engineer/developer with a 9 to 5 job, it’s difficult to keep track of all the innovations.” We couldn’t agree more, and we are so happy that this week’s guest Casper (among other contributors) have created this resource for practitioners.

During the episode, we cover the key categories to think about as you try to navigate the open source AI ecosystem, and Casper gives his thoughts on fine-tuning, vector DBs & more.

Practical AI Practical AI #248

Suspicion machines ⚙️

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2023-12-05T21:45:00Z #ai +1 🎧 26,500

In this enlightening episode, we delve deeper than the usual buzz surrounding AI’s perils, focusing instead on the tangible problems emerging from the use of machine learning algorithms across Europe. We explore “suspicion machines” — systems that assign scores to welfare program participants, estimating their likelihood of committing fraud. Join us as Justin and Gabriel share insights from their thorough investigation, which involved gaining access to one of these models and meticulously analyzing its behavior.

Changelog Interviews Changelog Interviews #567

Bringing Dev Mode to Figma

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2023-11-22T16:50:00Z #design +2 🎧 21,774

This week on we’re joined by Emil Sjölander from Figma — talking about bringing Dev Mode to Figma. Dev Mode is their new workspace in Figma that’s designed to bring developers and design to the same tool.

The question they’re trying to answer is “How do you create a home for developers in a design tool?” We go way back to Emil’s startup that was acquired by Figma called Visly, how we iterated to here from 20 years ago (think PSD > HTML days), what they did to build Dev Mode, what they’re doing around codegen, the popularity of design systems, and what it takes to go from zero to Dev Mode.

Practical AI Practical AI #246

Generating product imagery at Shopify

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2023-11-21T18:45:00Z #ai +1 🎧 27,337

Shopify recently released a Hugging Face space demonstrating very impressive results for replacing background scenes in product imagery. In this episode, we hear the backstory technical details about this work from Shopify’s Russ Maschmeyer. Along the way we discuss how to come up with clever AI solutions (without training your own model).

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