Τα καλύτερα Practical Ai podcast (2024)

1
AI in the U.S. Congress 40:50

1d ago40:50

40:50

At the age of 72, U.S. Representative Don Beyer of Virginia enrolled at GMU to pursue a Master’s degree in C.S. with a concentration in Machine Learning. Rep. Beyer is Vice Chair of the bipartisan Artificial Intelligence Caucus & Vice Chair of the NDC’s AI Working Group. He is the author of the AI Foundation Model Transparency Act & a lead cosponso…

1
First impressions of GPT-4o 43:30

9d ago43:30

43:30

Daniel & Chris share their first impressions of OpenAI’s newest LLM: GPT-4o and Daniel tries to bring the model into the conversation with humorously mixed results. Together, they explore the implications of Omni’s new feature set - the speed, the voice interface, and the new multimodal capabilities. Leave us a comment Changelog++ members save 4 mi…

1
Full-stack approach for effective AI agents 47:04

16d ago47:04

47:04

There’s a lot of hype about AI agents right now, but developing robust agents isn’t yet a reality in general. Imbue is leading the way towards more robust agents by taking a full-stack approach; from hardware innovations through to user interface. In this episode, Josh, Imbue’s CTO, tell us more about their approach and some of what they have learn…

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Autonomous fighter jets?! 41:13

23d ago41:13

41:13

Yep, you heard that right. Autonomous fighter jets are in the news. Chris and Daniel discuss a modified F-16 known as the X-62A VISTA and autonomous vehicles/ systems more generally. They also comment on the Linux Foundation’s new Open Platform for Enterprise AI. Leave us a comment Changelog++ members save 10 minutes on this episode because they ma…

1
Private, open source chat UIs 38:27

1M ago38:27

38:27

We recently gathered some Practical AI listeners for a live webinar with Danny from LibreChat to discuss the future of private, open source chat UIs. During the discussion we hear about the motivations behind LibreChat, why enterprise users are hosting their own chat UIs, and how Danny (and the LibreChat community) is creating amazing features (lik…

1
Mamba & Jamba 41:15

1M ago41:15

41:15

First there was Mamba… now there is Jamba from AI21. This is a model that combines the best non-transformer goodness of Mamba with good ‘ol attention layers. This results in a highly performant and efficient model that AI21 has open sourced! We hear all about it (along with a variety of other LLM things) from AI21’s co-founder Yoav. Leave us a comm…

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Udio & the age of multi-modal AI 38:54

2M ago38:54

38:54

2024 promises to be the year of multi-modal AI, and we are already seeing some amazing things. In this “fully connected” episode, Chris and Daniel explore the new Udio product/service for generating music. Then they dig into the differences between recent multi-modal efforts and more “traditional” ways of combining data modalities. Leave us a comme…

1
RAG continues to rise 48:21

2M ago48:21

48:21

Daniel & Chris delight in conversation with “the funniest guy in AI”, Demetrios Brinkmann. Together they explore the results of the MLOps Community’s latest survey. They also preview the upcoming AI Quality Conference. Leave us a comment Changelog++ members save 4 minutes on this episode because they made the ads disappear. Join today! Sponsors: Th…

1
Should kids still learn to code? 39:22

2M ago39:22

39:22

In this fully connected episode, Daniel & Chris discuss NVIDIA GTC keynote comments from CEO Jensen Huang about teaching kids to code. Then they dive into the notion of “community” in the AI world, before discussing challenges in the adoption of generative AI by non-technical people. They finish by addressing the evolving balance between generative…

1
AI vs software devs 57:02

2M ago57:02

57:02

Daniel and Chris are out this week, so we’re bringing you conversations all about AI’s complicated relationship to software developers from other Changelog pods: JS Party, Go Time & The Changelog. Leave us a comment Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors: Neo4j – Is your code get…

1
Prompting the future 46:01

2M ago46:01

46:01

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 exp…

1
Generating the future of art & entertainment 42:08

3M ago42:08

42:08

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 …

1
YOLOv9: Computer vision is alive and well 42:48

3M ago42:48

42:48

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 adva…

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How to Really Know What's in the Heart of Your Customer with Jim Tincher, Founder and CEO of Heart of the Customer 35:07

3M ago35:07

35:07

In this episode of Practical AI: The Capacity for Good, Jim Tincher, Founder and CEO of Heart of the Customer, joins James Diel to reveal the true essence of "knowing your customer," share critical tools needed to perfect the customer journey, and delve into the game-changing role of AI and automation in enhancing customer engagement. Jim is a high…

1
Representation Engineering (Activation Hacking) 43:36

3M ago43:36

43:36

Recently, we briefly mentioned the concept of “Activation Hacking” in the episode with Karan from Nous Research. In this fully connected episode, Chris and Daniel dive into the details of this model control mechanism, also called “representation engineering”. Of course, they also take time to discuss the new Sora model from OpenAI. Leave us a comme…

1
Leading the charge on AI in National Security 52:05

3M ago52:05

52:05

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:…

1
Gemini vs OpenAI 43:31

4M ago43:31

43:31

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 f…

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How AI Tools Propel Customer Success with Lincoln Murphy, Founder of Sixteen Ventures 37:18

4M ago37:18

37:18

In this episode of Practical AI: The Capacity for Good, Lincoln Murphy, Founder of Sixteen Ventures, joins James Diel to define the concept of customer success, the role of AI in customer success management, and how AI tools empower customer success professionals to integrate the human experience, leveraging intelligent analytics, automation, and d…

1
Data synthesis for SOTA LLMs 46:41

4M ago46:41

46:41

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.…

1
Large Action Models (LAMs) & Rabbits 🐇 48:15

4M ago48:15

48:15

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 us…

1
Collaboration & evaluation for LLM apps 46:16

4M ago46:16

46:16

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-techni…

1
Advent of GenAI Hackathon recap 47:52

5M ago47:52

47:52

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. Leave us a comment Changelo…

1
AI predictions for 2024 45:00

5M ago45:00

45:00

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. Leave us a comment Changelog++ members save 3 minutes …

1
Navigating Generative AI and It’s Business Impact with Michael Hunigan, VP of Product AI at Capacity 38:13

5M ago38:13

38:13

In this episode of Practical AI: The Capacity for Good, Michael Hunigan, VP of Product AI at Capacity, joins James Diel to discuss the transformative impact of Generative AI, highlighting its role in enhancing workflows across customer service, HR operations, and more. He emphasizes the importance of ethical usage, predicts the evolution of LLMs, a…

1
Open source, on-disk vector search with LanceDB 41:53

5M ago41:53

41:53

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…

1
The state of open source AI 42:37

6M ago42:37

42:37

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 ke…

1
Turning Happy Customers Into Higher Revenue with David Avrin, a Customer Experience Keynote Speaker and Consultant 46:11

6M ago46:11

46:11

In this episode of Practical AI: The Capacity for Good, David Avrin, a Customer Experience Keynote Speaker and Consultant, joins James Diel to reveal the importance of customer retention and how it impacts a company's revenue. They highlight the need for a customer retention strategy that prioritizes customer happiness, value, and engagement and de…

1
Suspicion machines ⚙️ 46:57

6M ago46:57

46:57

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 u…

1
The OpenAI debacle (a retrospective) 47:09

6M ago47:09

47:09

Daniel & Chris conduct a retrospective analysis of the recent OpenAI debacle in which CEO Sam Altman was sacked by the OpenAI board, only to return days later with a new supportive board. The events and people involved are discussed from start to finish along with the potential impact of these events on the AI industry. Leave us a comment Changelog…

1
Generating product imagery at Shopify 50:16

6M ago50:16

50:16

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). Leave us…

1
AI trailblazers putting people first 47:45

7M ago47:45

47:45

According to Solana Larsen: “Too often, it feels like we have lost control of the internet to the interests of Big Tech, Big Data — and now Big AI.” In the latest season of Mozilla’s IRL podcast (edited by Solana), a number of stories are featured to highlight the trailblazers who are reclaiming power over AI to put people first. We discuss some of…

1
Revolutionizing Customer Experience with Punk Spirit with Adrian Swinscoe, an Aspirant Punk at Punk CX 50:53

7M ago50:53

50:53

In this episode of Practical AI: The Capacity for Good, Adrian Swinscoe, an Aspirant Punk at Punk CX, joins James Diel to share his insights on how you can tap into your inner punk spirit to revolutionize your approach to customer experience, as well as integrating empathy and AI in customer service. Adrian is a seasoned professional with an extens…

1
Government regulation of AI has arrived 45:07

7M ago45:07

45:07

On Monday, October 30, 2023, the U.S. White House issued its Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. Two days later, a policy paper was issued by the U.K. government entitled The Bletchley Declaration by Countries Attending the AI Safety Summit, 1-2 November 2023. It was signed by 29 coun…

1
Self-hosting & scaling models 41:09

7M ago41:09

41:09

We’re excited to have Tuhin join us on the show once again to talk about self-hosting open access models. Tuhin’s company Baseten specializes in model deployment and monitoring at any scale, and it was a privilege to talk with him about the trends he is seeing in both tooling and usage of open access models. We were able to touch on the common use …

1
Deep learning in Rust with Burn 🔥 40:36

7M ago40:36

40:36

It seems like everyone is interested in Rust these days. Even the most popular Python linter, Ruff, isn’t written in Python! It’s written in Rust. But what is the state of training or inferencing deep learning models in Rust? In this episode, we are joined by Nathaniel Simard, the creator burn. We discuss Rust in general, the need to have support f…

1
AI's impact on developers 48:24

7M ago48:24

48:24

Chris & Daniel are out this week, so we’re bringing you a panel discussion from All Things Open 2023 moderated by Jerod Santo (Practical AI producer and co-host of The Changelog) and featuring keynoters Emily Freeman and James Q Quick. Leave us a comment Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join to…

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The AI Frontier: Pioneering Change in Customer Service with David Karandish, Founder and CEO of Capacity 27:25

8M ago27:25

27:25

In this episode of Practical AI: The Capacity for Good, David Karandish, Founder and CEO of Capacity, joins James Diel to unveil how AI and automation revolutionize customer service, balancing customer experience and profitability in AI integration, and the evolution of AI from reactive to proactive assistance. With over two decades of experience i…

1
Generative models: exploration to deployment 49:04

8M ago49:04

49:04

What is the model lifecycle like for experimenting with and then deploying generative AI models? Although there are some similarities, this lifecycle differs somewhat from previous data science practices in that models are typically not trained from scratch (or even fine-tuned). Chris and Daniel give a high level overview in this effort and discuss…

1
Automate all the UIs! 43:02

8M ago43:02

43:02

Dominik Klotz from askui joins Daniel and Chris to discuss the automation of UI, and how AI empowers them to automate any use case on any operating system. Along the way, the trio explore various approaches and the integration of generative AI, large language models, and computer vision. Leave us a comment Changelog++ members save 6 minutes on this…

1
AI as a Business Productivity Ally with Aytekin Tank, Founder and CEO of Jotform 33:13

9M ago33:13

33:13

In this episode of Practical AI: The Capacity for Good, Aytekin Tank, Founder and CEO of Jotform, joins James Diel to share his actionable insights on how business leaders can enhance their productivity and achieve more by automating their busywork and focusing on what really matters. Aytekin is a renowned industry leader with over two decades of e…

1
Fine-tuning vs RAG 58:09

9M ago58:09

58:09

In this episode we welcome back our good friend Demetrios from the MLOps Community to discuss fine-tuning vs. retrieval augmented generation. Along the way, we also chat about OpenAI Enterprise, results from the MLOps Community LLM survey, and the orchestration and evaluation of generative AI workloads. Leave us a comment Changelog++ members save 1…

1
Automating code optimization with LLMs 45:01

9M ago45:01

45:01

You might have heard a lot about code generation tools using AI, but could LLMs and generative AI make our existing code better? In this episode, we sit down with Mike from TurinTech to hear about practical code optimizations using AI “translation” of slow to fast code. We learn about their process for accomplishing this task along with impressive …

1
The new AI app stack 45:09

9M ago45:09

45:09

Recently a16z released a diagram showing the “Emerging Architectures for LLM Applications.” In this episode, we expand on things covered in that diagram to a more general mental model for the new AI app stack. We cover a variety of things from model “middleware” for caching and control to app orchestration. Leave us a comment Changelog++ members sa…

1
Elevating Customer Experience by Balancing Human Touch and AI with Shep Hyken, Chief Amazement Officer at Shepard Presentations 32:47

10M ago32:47

32:47

In this episode of Practical AI: The Capacity for Good, Shep Hyken, Chief Amazement Officer at Shepard Presentations, joins James Diel to explore the importance of building human relationships in customer service and what role AI plays in enhancing customer experience. Shep is a renowned expert in customer service and experience, a dynamic keynote …

1
Blueprint for an AI Bill of Rights 41:40

10M ago41:40

41:40

In this Fully Connected episode, Daniel and Chris kick it off by noting that Stability AI released their SDXL 1.0 LLM! They discuss its virtues, and then dive into a discussion regarding how the United States, European Union, and other entities are approaching governance of AI through new laws and legal frameworks. In particular, they review the Wh…

1
Vector databases (beyond the hype) 51:31

10M ago51:31

51:31

There’s so much talk (and hype) these days about vector databases. We thought it would be timely and practical to have someone on the show that has been hands on with the various options and actually tried to build applications leveraging vector search. Prashanth Rao is a real practitioner that has spent and huge amount of time exploring the expand…

1
There's a new Llama in town 48:13

10M ago48:13

48:13

It was an amazing week in AI news. Among other things, there is a new NeRF and a new Llama in town!!! Zip-NeRF can create some amazing 3D scenes based on 2D images, and Llama 2 from Meta promises to change the LLM landscape. Chris and Daniel dive into these and they compare some of the recently released OpenAI functionality to Anthropic’s Claude 2.…

1
AI in Action: Building a Customer-Centric Organization with Annette Franz, Founder and CEO of CX Journey 29:34

11M ago29:34

29:34

In this episode of Practical AI: The Capacity for Good, Annette Franz, Founder and CEO of CX Journey, joins James Diel to explore the role of AI and automation in customer support and experience. Annette emphasizes the importance of employing data to understand and personalize the customer journey and using AI to enhance the employee experience. An…

1
Legal consequences of generated content 42:53

11M ago42:53

42:53

As a technologist, coder, and lawyer, few people are better equipped to discuss the legal and practical consequences of generative AI than Damien Riehl. He demonstrated this a couple years ago by generating, writing to disk, and then releasing every possible musical melody. Damien joins us to answer our many questions about generated content, copyr…

1
A developer's toolkit for SOTA AI 42:03

11M ago42:03

42:03

Chris sat down with Varun Mohan and Anshul Ramachandran, CEO / Cofounder and Lead of Enterprise and Partnership at Codeium, respectively. They discussed how to streamline and enable modern development in generative AI and large language models (LLMs). Their new tool, Codeium, was born out of the insights they gleaned from their work in GPU software…

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