Bästa Deep Learning podcaster (2024)

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Opportunities and Challenges with Knowledge Graphs 12:13

15h ago12:13

12:13

This article from the Artificial Intelligence Review examines the opportunities and challenges of knowledge graphs, a type of graph data that accumulates and conveys knowledge of the real world. The authors discuss how knowledge graphs are used in various AI systems, such as recommender systems, question-answering systems, and information retrieval…

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051: Secret Agentforce: Declassified! And more from Dreamforce 2024 18:11

4d ago18:11

18:11

Our own Brian Thompson, VP of Product Marketing, joins CEO Nikola to discuss Salesforce's recent AgentForce announcement. This new initiative is presented as a big shift toward autonomous AI agents within large enterprises and while at least one the dyad sees it as a rebrand of Einstein Copilot, others may view it as a step towards making practical…

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Discipleship Targets Polarization 27:25

8d ago27:25

27:25

Transformational discipleship is redundant. Discipleship is intrinsically transformation into increasing Christlikeness. This is a case study of Ephesians that speaks with biblical authority to the current polarization within the church.Av Michael Gray

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LoRA: The Original Paper on LoRA Fine-Tuning 9:47

16h ago9:47

9:47

This is a discussion of the original LoRA paper, which proposed a novel approach called Low-Rank Adaptation (LoRA) to make large language models (LLMs) more efficient for downstream tasks. LoRA avoids the computational and storage burden of traditional fine-tuning by freezing the pre-trained model weights and instead injects trainable low-rank matr…

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Transferring Knowledge from Large Models to Small Models 10:38

16h ago10:38

10:38

We discuss a research paper that proposes a new method called Adaptive Feature Transfer (AFT) for transferring knowledge from large foundation models to smaller, task-specific downstream models. AFT prioritizes transferring only the most relevant information from the pre-trained model to the downstream model, leading to improved performance and red…

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Weight Decay in Linear Regression 10:59

16h ago10:59

10:59

Let's talk about weight decay as a method of regularization to combat overfitting in machine learning models. Weight decay involves adding a penalty term to the loss function, which encourages the model to use smaller weights, thereby reducing the model's complexity and improving its ability to generalize to new data. The text introduces the mathem…

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RIG & RAG: Grounding AI in Reality with Super-Trustworthy Data 7:33

16h ago7:33

7:33

Google Research has developed a new set of open models, known as DataGemma, that aim to ground large language models (LLMs) in real-world data using Google's Data Commons knowledge graph. DataGemma's primary goal is to improve the factuality and trustworthiness of LLMs by mitigating the risk of hallucinations, which occur when LLMs generate incorre…

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Generalization in Machine Learning 13:26

16h ago13:26

13:26

In this episode, we explore the concept of generalization in machine learning, emphasizing the challenge of training models that can accurately predict outcomes on unseen data. The text explains how overfitting occurs when models become too specialized to the training data, leading to poor performance on new data. It introduces regularization techn…

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ARES RAG: An Automated Evaluation Framework for Retrieval-Augmented (New Research) 11:42

16h ago11:42

11:42

This research paper ("ARES: An Automated Evaluation Framework for Retrieval-Augmented") introduces ARES, an Automated RAG Evaluation System, designed to assess the performance of Retrieval-Augmented Generation (RAG) systems. RAG systems are designed to use retrieved information to generate responses to user queries. ARES evaluates these systems bas…

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Linear Regression 17:10

16h ago17:10

17:10

This episode is about linear regression, a fundamental statistical method used to predict a numerical value based on a set of features (input variables). It describes the key components of linear regression, including the model (a linear function that relates features to the target), the loss function (which quantifies the error between predictions…

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050: Dialogue design. So hot right now. 22:45

10d ago22:45

22:45

50th episode! Damien welocmes newcomer to the pod Oliver Shoulson, PolyAI's senior dialogue designer, about what dialogue design entails and why it's crucial in the era of advanced language models (LLMs). Oliver explains that dialogue design goes beyond just scripting responses; it's about making AI interactions feel natural to humans through under…

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049: OpenAI o1, Apple Intelligence, and Exowatt... oh my! 23:54

17d ago23:54

23:54

Damien and CEO Nikola Mrkšić discuss recent AI headlines, including Klarna's decision to ditch Salesforce and Workday, Apple's new on-device AI approach and the Apple Intelligence hype, Sam Altman's investment in solar storage, and the big enchilada: an early take of OpenAI's new 'Strawberry' o1 reasoning model, highlighting its impressive capabili…

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Failure to Launch: Discipleship Endangered 26:54

22d ago26:54

26:54

Discipleship is more than a targeted learning process, but it is not less. Deep and durable learning of scripture results in personal transformation, but most churches follow a flawed process. Join me as I consider the discipleship gap and how to close it.Av Michael Gray

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048: Dissecting the actual impact of the new Council of Europe AI Framework Convention and treaty 27:36

24d ago27:36

27:36

Host Damien and PolyAI CEO Nikola Mrkšić discuss the latest in an increasingly vague spate of regulatory actions: this time, the AI Framework Convention treaty from the Council of Europe. The treaty, aiming to balance AI advancements with human rights and democracy, is broken down for its practicality, technological neutrality, and the challenges o…

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047: The anatomy of a voice assistant, part 3 - Large language models (LLMs) 27:46

1M ago27:46

27:46

It's the third in a series of technical deep dives for building IVAs, and for this episode, it's all about LLMs. Kylie chats with Shawn Wen, co-founder and CTO at PolyAI, who explains why LLMs can accomplish 70% of what’s needed for voice assistants, and more importantly: what's involved in the remaining 30%. The discussion touches on strategies to…

1
Drinking: What Are You Thinking? 22:42

1M ago22:42

22:42

What does wisdom say about beverage alcohol consumption? I cut through the cultural cachet of alcohol and look objectively at its documented effects on the human body.Av Michael Gray

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046: What's with the anti-AI movement among some brands, and will it last? 25:34

1M ago25:34

25:34

Damien and Nikola chat about the controversial rise of anti-AI sentiment among brands, especially in the creator industry. They explore recent anti-AI pledges by notable brands like Procreate and Dove, scrutinizing whether these are sincere stances or marketing tactics, deliberating the balance between human artistry and technological advancement. …

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045: Conversations with Kenn So, Generational.pub 24:10

1M ago24:10

24:10

Damien interviews Kenn So, an AI researcher, enthusiast and author of the Generational substack. Kenn offers insights in to technical trends and consumer expectations of generative AI, happenings in the AI VC/investor space, challenges facing AI startups, and observations in current and future M&A activity. Plus, we learn about Sherlocking and quas…

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Science Sleuth or Cynic? 58:44

2M ago58:44

58:44

Daniel L. Smith, Professor of Nutrition Sciences, is a self-professed skeptic about nutritional science. He takes us on a journey through how science works and helps differentiate healthy skepticism (aka critical thinking) from corrupting cynicism.Av Michael Gray/Daniel Smith

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044: Speech Recognition and Spoken Language Understanding (SLU) 33:23

2M ago33:23

33:23

In our second technical dive in the the anatomy of a voice assistant, Kylie hosts Shawn Wen, co-founder and CTO of Poly AI, to analyze the complexities of building voice assistants. He highlights the challenges faced in speech recognition, such as dealing with errors, latency, and user experience. Shawn also discusses the inefficiencies of converti…

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043: Size Matters - The rise of small language models (SLMs) 19:51

2M ago19:51

19:51

Damien and Nikola discuss the evolution and significance of small language models (SLMs) amid the ever-growing landscape of their bigger bretheren, large language models (LLMs). They dissect the predicted rise of SLMs, their applications in privacy-focused and low-power devices, and the implications for enterprises balancing cost, efficiency, and m…

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042: Breaking Bots - Navigating AI deepfakes during election season and beyond 18:24

2M ago18:24

18:24

From political campaigns inundating platforms with AI-generated content to the intricacies of voice AI and deepfake technologies, Damien and Nikola offer practical tips on distinguishing real from fake. Learn how pronunciation differences, odd question prompts, and latency can help you identify AI bots posing as human callers. This episode provides…

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041: The cultural phenomenon (and human acceptance) of automation IRL 23:14

2M ago23:14

23:14

Damien welcomes back Michelle Schroeder, SVP of Marketing at PolyAI, to discuss the growing role of automation in daily life and enterprise operations. They explore public perceptions of automation through examples like automated vacuum robots, brain surgery bots, and services like Amazon Go. Emphasizing the dividing line between successful and uns…

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040: The multilayered anatomy of a generative AI voice assistant 25:40

3M ago25:40

25:40

It's getting technical up in here! Kylie welcomes PolyAI CTO & Co-Founder Shawn Wen to the show to discuss the complexities of building high-quality voice AI systems. From the limitations of large language models (LLMs) to the nuances across each layer of the tech stack, they'll cover setting up audio channels, streaming speech recognition, voice a…

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039: Old news is good news for generative AI; Reshaping modern journalism 20:26

3M ago20:26

20:26

Damien and Nikola brag about their impressive Duolingo streaks... and then discuss the impact of AI on modern journalism - including issues from OpenAI and Perplexity's data-scraping controversies to the ethical implications on the journalistic landscape. They debate (kind of) over the balance between maintaining journalistic integrity and the rise…

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038: Decoding McKinsey/QuantumBlack's State of AI 21:17

3M ago21:17

21:17

Guest host Steven Fine and series regular Nikola Mrkšić discuss the current landscape of AI adoption in businesses, drawing on McKinsey's recent The State of AI report. They explore topics such as the rapid increase in generative AI usage, the challenges of integrating AI into existing business workflows, and the debate over building versus buying …

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037: Guiding effective worker utilization of generative AI tools 27:34

4M ago27:34

27:34

Damien outs himself as a generative AI avatar (not really though), while he and PolyAI CEO Nikola Mrkšić discuss the growing workforce adoption of generative AI in modern enterprises. They explore the pros and cons, including overcoming discovery issues, optimal use cases across various business functions, training and governance, and examples of s…

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036: Keeping AI prominent in big tech alliances 19:12

4M ago19:12

19:12

Damien welcomes Michael Chen, Vice President of Alliances at PolyAI, to chat working with big tech platforms to deploy conversational AI solutions for millions of users. The episode highlights the difficulties in transitioning these solutions from sandbox environments to large-scale production, the inherent challenge of probabilistic vs determinist…

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035: Artificial General Intelligence, six months later 28:21

4M ago28:21

28:21

Damien and Nikola from PolyAI chat about the past six months of artificial general intelligence (AGI) progress. Key points of fiery discussion include the definition and goals of AGI, the recent advancements in multimodality in AI, and the significant progress in the industry over the past six months. They explore the exponential improvements in co…

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034: The ScarJo Effect - Maintaining and Protecting Voice Agency in an AI World 20:51

5M ago20:51

20:51

New guest, who dis? This episode, Damien invites Nathan Liu, VP of Deployments at PolyAI, discusses the company's approach to making the world's most lifelike voice assistant, emphasizing the synergy between AI and human voice actors to enhance voice assistant quality while safeguarding actors' interests. The conversation touches on concerns about …

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033: PolyAI's Series C Raise & GPT-4o 23:35

5M ago23:35

23:35

In this episode of the 'Deep Learning with PolyAI' podcast, Nikola and Damien discuss PolyAI's recent $50 million Series C funding round led by NVIDIA's NVentures, alongside other notable investors. They explore the company's growth, innovative engineering, and the future of voice AI technology. The conversation also touches upon the recent develop…

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Maximizing the Magic of Teachable Moments 1:02:31

5M ago1:02:31

1:02:31

The elusive teachable moment is not endangered. In this episode we talk about how to orchestrate and leverage teachable moments to catalyze deep and durable learningAv Mike Gray/Adam Smalley

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032: Conversations featuring Brian Jeppesen, Fertitta Entertainment 23:45

5M ago23:45

23:45

Damien welcomes Fertitta Entertainment's contact center director Brian Jeppesen to the pod to discuss Brian's long career in customer service, the nuances of the casino-hoteling industry, and why roadblocking by IVR is an outdated approach. Introducing: Conversations - a collection of provocative chats with the next generation of CX leaders. Read B…

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031: Generative AI in the Contact Center - Build or Buy? 29:52

5M ago29:52

29:52

Damien and Nikola tackle the age-old tech question: should enterprise contact centers build or buy AI solutions? They cover pros and cons considered in the decision-making process, highlighting the importance of established vendors, internal capabilities, technological advancements, user experience, and the need for accountability and measuring suc…

1
Never Graduate From Preschool 59:37

6M ago59:37

59:37

Young learners are motivated by curiosity and wonder. This generates "why" questions that are answered by looking for patterns in the particulars they encounter. Would this were true for adult learning!Av Mike Gray/Laura Whitmore

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030: How the future of measuring success in the contact center requires AI 26:20

6M ago26:20

26:20

Damien welcomes Business Value Analyst Steven Fine to the pod and discusses the evolution of measuring success in contact centers, focusing on integrating AI and automation technologies to improve customer experience and operational efficiency. Their chat emphasizes the importance of marrying sentiment analysis with Customer Satisfaction (CSAT) met…

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029: What is 'AI washing' and how you can (and should) avoid it 25:35

6M ago25:35

25:35

Today's chat between Nikola and Damien delves into the concept of 'AI washing,' where companies exaggerate their level of investment in AI technology to capitalize on the current hype. The episode covers the evolution of AI, the challenge of distinguishing genuine AI applications from superficial ones, the potential need for regulation to prevent m…

1
Questioning Your Way to Vocational Clarity 44:54

6M ago44:54

44:54

Many people feel stuck in their careers. At the root this is because they lack clarity about who they are and what they were made to do. Clarity emerges on the heels of questioning your erroneous assumptions about vocation.Av Mike Gray/Will Gray

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028: NLP vs NLP, or AI and the art of human persuasion 23:23

6M ago23:23

23:23

Nikola and Damien delve into the topic of humanizing technology and AI, touching upon the preference for non-human interactions in vulnerable states, the challenges of identifying automated systems during conversations, and the importance of transparency in AI interactions. Opinions on the potential cultural impacts of humanized AI, the debate arou…

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027: Managing disruptive change, ships in the tech navy, and big maverick energy 27:29

6M ago27:29

27:29

In today's episode, Michelle and Nikola discuss the challenges and strategies involved in managing disruptive change, particularly related to deploying AI in large businesses. Their talk emphasizes the importance of champions within organizations, the role of companies like Accenture, starting small to de-risk projects, and the impact of change man…

1
Discerning Your Calling 1:00:18

7M ago1:00:18

1:00:18

Vocation should not be chosen pragmatically based merely on opportunity. Vocation is literally a calling to use your unique giftedness for the glory of God. Dr. Scott Whitmore, a researcher in retinal diseases, shares his wrestling to discern God's call.Av Mike Gray/Scott Whitmore

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026: Inside NVIDIA GTC 2024 21:44

7M ago21:44

21:44

Join Damien and Tomasz, a senior machine learning engineer at PolyAI, as they discuss the key highlights of NVIDIA's megacon GTC. They discuss standout sessions, including the announcement of NVIDIA Blackwater platform for reducing cost and energy requirements of high-performance AI systems. They also talk about the concerns around the size of lang…

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025: Mythbusting generative AI "threats" (and how to cut through the fear-mongering) 17:34

7M ago17:34

17:34

Laura debuts hosting in today's episode, which discusses various concerns and myths around generative AI, particularly addressing Gartner's prediction of a customer's death due to bad information from AI chatbots. It also delves into real-life scenarios such as the Air Canada lawsuit, mishaps with Google Gemini, and the overall impact of generative…

1
Ideals Collide With Identity 45:19

7M ago45:19

45:19

Ideals are commendable but how we implement ideals can corrupt our true identity. Susanna Hindman shares her story of life in a disadvantaged community in West Baltimore, Maryland.Av Mike Gray/Susanna Hindman

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023: Why contact leaders are getting promoted off successful AI implementations 20:48

7M ago20:48

20:48

Today's episode covers the potential impact of successful AI implementation in contact centers on the career growth, and promotion of contact center leaders. We're highlighting how AI can provide strategic insights, drive operational efficiencies, and add value beyond just automation. Michelle and Nikola also touch on the importance of leveraging d…

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Healthcare Is Its Own Worst Enemy 1:01:37

8M ago1:01:37

1:01:37

Healthcare is better at treating disease than at creating and maintaining health. Dr. Daniel Hindman of the Johns Hopkins hospital system argues that medical professionals fail to grapple with the real determinants of patient health. Healthcare presumptuously treats even foreseeable physical dysfunction or limitation within a human lifespan as a pr…

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022: AI News Recap! Sora, LAMs and the Elephant in the Machine 24:34

8M ago24:34

24:34

Michelle and Nikola discuss the impact of recent AI advancements on customer experience, including the developments in generative AI, multimodal explorations, and new AI products. They cover topics such as the potential for AI memory, personalization, and consumer data privacy, as well as the evolving consumer expectations and trust in AI technolog…

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021: How customer data is flipping the business value of the contact center 19:33

8M ago19:33

19:33

PolyAI's Global VP of Solution Consulting Brad talks with CEO Nikola about the future of customer data in the contact center. They discuss the value of data in improving customer service, the challenges in gathering practical data faced by traditional contact centers, the role of AI in capturing and analyzing data, and the potential benefits of usi…

1
Growing Through Infertility and Loss 48:07

8M ago48:07

48:07

Dr. Valerie Coffman shares her personal struggles with infertility and loss and reflects on the opportunities for growth through profound disppointment.Av Mike Gray/Valerie Coffman

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020: Effective Accelerationism, Fully Automated Contact Centers and Serbian Agriculture 22:22

8M ago22:22

22:22

Nikola and Michelle dish about the future of fully automated support systems, the pros and cons of effective accelerationism, and the balance between automation and human interaction in the contact center - now and tomorrow. Follow PolyAI on LinkedIn Watch this and other episodes of the Deep Learning pod on YouTube…

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