Кращі подкасти про Twiml (2023)

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Pushing Back on AI Hype with Alex Hanna - #649 49:26

1d ago49:26

49:26

Today we’re joined by Alex Hanna, the Director of Research at the Distributed AI Research Institute (DAIR). In our conversation with Alex, we discuss the topic of AI hype and the importance of tackling the issues and impacts it has on society. Alex highlights how the hype cycle started, concerning use cases, incentives driving people towards the ra…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648 44:22

9d ago44:22

44:22

Today we’re joined by Nataniel Ruiz, a research scientist at Google. In our conversation with Nataniel, we discuss his recent work around personalization for text-to-image AI models. Specifically, we dig into DreamBooth, an algorithm that enables “subject-driven generation,” that is, the creation of personalized generative models using a small set …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647 40:52

16d ago40:52

40:52

Today we’re joined by Shreya Rajpal, founder and CEO of Guardrails AI. In our conversation with Shreya, we discuss ensuring the safety and reliability of language models for production applications. We explore the risks and challenges associated with these models, including different types of hallucinations and other LLM failure modes. We also talk…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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What’s Next in LLM Reasoning? with Roland Memisevic - #646 59:00

23d ago59:00

59:00

Today we’re joined by Roland Memisevic, a senior director at Qualcomm AI Research. In our conversation with Roland, we discuss the significance of language in humanlike AI systems and the advantages and limitations of autoregressive models like Transformers in building them. We cover the current and future role of recurrence in LLM reasoning and th…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Is ChatGPT Getting Worse? with James Zou - #645 42:17

30d ago42:17

42:17

Today we’re joined by James Zou, an assistant professor at Stanford University. In our conversation with James, we explore the differences in ChatGPT’s behavior over the last few months. We discuss the issues that can arise from inconsistencies in generative AI models, how he tested ChatGPT’s performance in various tasks, drawing comparisons betwee…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644 45:15

1M ago45:15

45:15

Today we’re joined by Sophia Sanborn, a postdoctoral scholar at the University of California, Santa Barbara. In our conversation with Sophia, we explore the concept of universality between neural representations and deep neural networks, and how these principles of efficiency provide an ability to find consistent features across networks and tasks.…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Inverse Reinforcement Learning Without RL with Gokul Swamy - #643 33:55

1M ago33:55

33:55

Today we’re joined by Gokul Swamy, a Ph.D. Student at the Robotics Institute at Carnegie Mellon University. In the final conversation of our ICML 2023 series, we sat down with Gokul to discuss his accepted papers at the event, leading off with “Inverse Reinforcement Learning without Reinforcement Learning.” In this paper, Gokul explores the challen…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Explainable AI for Biology and Medicine with Su-In Lee - #642 38:14

2M ago38:14

38:14

Today we’re joined by Su-In Lee, a professor at the Paul G. Allen School of Computer Science And Engineering at the University Of Washington. In our conversation, Su-In details her talk from the ICML 2023 Workshop on Computational Biology which focuses on developing explainable AI techniques for the computational biology and clinical medicine field…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Transformers On Large-Scale Graphs with Bayan Bruss - #641 38:36

2M ago38:36

38:36

Today we’re joined by Bayan Bruss, Vice President of Applied ML Research at Capital One. In our conversation with Bayan, we covered a pair of papers his team presented at this year’s ICML conference. We begin with the paper Interpretable Subspaces in Image Representations, where Bayan gives us a dive deep into the interpretability framework, embedd…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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The Enterprise LLM Landscape with Atul Deo - #640 37:08

2M ago37:08

37:08

Today we’re joined by Atul Deo, General Manager of Amazon Bedrock. In our conversation with Atul, we discuss the process of training large language models in the enterprise, including the pain points of creating and training machine learning models, and the power of pre-trained models. We explore different approaches to how companies can leverage l…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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BloombergGPT - an LLM for Finance with David Rosenberg - #639 36:52

2M ago36:52

36:52

Today we’re joined by David Rosenberg, head of the machine learning strategy team in the Office of the CTO at Bloomberg. In our conversation with David, we discuss the creation of BloombergGPT, a custom-built LLM focused on financial applications. We explore the model’s architecture, validation process, benchmarks, and its distinction from other la…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Are LLMs Good at Causal Reasoning? with Robert Osazuwa Ness - #638 48:21

3M ago48:21

48:21

Today we’re joined by Robert Osazuwa Ness, a senior researcher at Microsoft Research, Professor at Northeastern University, and Founder of Altdeep.ai. In our conversation with Robert, we explore whether large language models, specifically GPT-3, 3.5, and 4, are good at causal reasoning. We discuss the benchmarks used to evaluate these models and th…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Privacy vs Fairness in Computer Vision with Alice Xiang - #637 37:41

3M ago37:41

37:41

Today we’re joined by Alice Xiang, Lead Research Scientist at Sony AI, and Global Head of AI Ethics at Sony Group Corporation. In our conversation with Alice, we discuss the ongoing debate between privacy and fairness in computer vision, diving into the impact of data privacy laws on the AI space while highlighting concerns about unauthorized use a…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Unifying Vision and Language Models with Mohit Bansal - #636 48:08

3M ago48:08

48:08

Today we're joined by Mohit Bansal, Parker Professor, and Director of the MURGe-Lab at UNC, Chapel Hill. In our conversation with Mohit, we explore the concept of unification in AI models, highlighting the advantages of shared knowledge and efficiency. He addresses the challenges of evaluation in generative AI, including biases and spurious correla…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635 52:31

3M ago52:31

52:31

Today we kick off our coverage of the 2023 CVPR conference joined by Fatih Porikli, a Senior Director of Technology at Qualcomm. In our conversation with Fatih, we covered quite a bit of ground, touching on a total of 12 papers/demos, focusing on topics like data augmentation and optimized architectures for computer vision. We explore advances in o…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Mojo: A Supercharged Python for AI with Chris Lattner - #634 57:22

4M ago57:22

57:22

Today we’re joined by Chris Lattner, Co-Founder and CEO of Modular. In our conversation with Chris, we discuss Mojo, a new programming language for AI developers. Mojo is unique in this space and simplifies things by making the entire stack accessible and understandable to people who are not compiler engineers. It also offers Python programmers the…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Stable Diffusion and LLMs at the Edge with Jilei Hou - #633 40:09

4M ago40:09

40:09

Today we’re joined by Jilei Hou, a VP of Engineering at Qualcomm Technologies. In our conversation with Jilei, we focus on the emergence of generative AI, and how they've worked towards providing these models for use on edge devices. We explore how the distribution of models on devices can help amortize large models' costs while improving reliabili…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Modeling Human Behavior with Generative Agents with Joon Sung Park - #632 46:38

4M ago46:38

46:38

Today we’re joined by Joon Sung Park, a PhD Student at Stanford University. Joon shares his passion for creating AI systems that can solve human problems and his work on the recent paper Generative Agents: Interactive Simulacra of Human Behavior, which showcases generative agents that exhibit believable human behavior. We discuss using empirical me…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Towards Improved Transfer Learning with Hugo Larochelle - #631 38:52

4M ago38:52

38:52

Today we’re joined by Hugo Larochelle, a research scientist at Google Deepmind. In our conversation with Hugo, we discuss his work on transfer learning, understanding the capabilities of deep learning models, and creating the Transactions on Machine Learning Research journal. We explore the use of large language models in NLP, prompting, and zero-s…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Language Modeling With State Space Models with Dan Fu - #630 28:15

4M ago28:15

28:15

Today we’re joined by Dan Fu, a PhD student at Stanford University. In our conversation with Dan, we discuss the limitations of state space models in language modeling and the search for alternative building blocks that can help increase context length without being computationally infeasible. Dan walks us through the H3 architecture and Flash Atte…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Building Maps and Spatial Awareness in Blind AI Agents with Dhruv Batra - #629 43:24

5M ago43:24

43:24

Today we continue our coverage of ICLR 2023 joined by Dhruv Batra, an associate professor at Georgia Tech and research director of the Fundamental AI Research (FAIR) team at META. In our conversation, we discuss Dhruv’s work on the paper Emergence of Maps in the Memories of Blind Navigation Agents, which won an Outstanding Paper Award at the event.…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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AI Agents and Data Integration with GPT and LLaMa with Jerry Liu - #628 41:26

5M ago41:26

41:26

Today we’re joined by Jerry Liu, co-founder and CEO of Llama Index. In our conversation with Jerry, we explore the creation of Llama Index, a centralized interface to connect your external data with the latest large language models. We discuss the challenges of adding private data to language models and how Llama Index connects the two for better d…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - #627 33:11

5M ago33:11

33:11

Today we kick off our coverage of the 2023 ICLR conference joined by Christos Louizos, an ML researcher at Qualcomm Technologies. In our conversation with Christos, we explore his paper Hyperparameter Optimization through Neural Network Partitioning and a few of his colleague's works from the conference. We discuss methods for speeding up attention…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626 37:56

5M ago37:56

37:56

Today we’re joined by Marti Hearst, Professor at UC Berkeley. In our conversation with Marti, we explore the intricacies of AI language models and their usefulness in improving efficiency but also their potential for spreading misinformation. Marti expresses skepticism about whether these models truly have cognition compared to the nuance of the hu…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Are Large Language Models a Path to AGI? with Ben Goertzel - #625 59:35

6M ago59:35

59:35

Today we’re joined by Ben Goertzel, CEO of SingularityNET. In our conversation with Ben, we explore all things AGI, including the potential scenarios that could arise with the advent of AGI and his preference for a decentralized rollout comparable to the internet or Linux. Ben shares his research in bridging neural nets, symbolic logic engines, and…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Open Source Generative AI at Hugging Face with Jeff Boudier - #624 33:51

6M ago33:51

33:51

Today we’re joined by Jeff Boudier, head of product at Hugging Face 🤗. In our conversation with Jeff, we explore the current landscape of open-source machine learning tools and models, the recent shift towards consumer-focused releases, and the importance of making ML tools accessible. We also discuss the growth of the Hugging Face Hub, which curre…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Generative AI at the Edge with Vinesh Sukumar - #623 39:06

6M ago39:06

39:06

Today we’re joined by Vinesh Sukumar, a senior director and head of AI/ML product management at Qualcomm Technologies. In our conversation with Vinesh, we explore how mobile and automotive devices have different requirements for AI models and how their AI stack helps developers create complex models on both platforms. We also discuss the growing in…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - #622 48:51

6M ago48:51

48:51

Today we’re joined by Anastasis Germanidis, Co-Founder and CTO of RunwayML. Amongst all the product and model releases over the past few months, Runway threw its hat into the ring with Gen-1, a model that can take still images or video and transform them into completely stylized videos. They followed that up just a few weeks later with the release …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621 51:27

7M ago51:27

51:27

Today we’re joined by Tom Goldstein, an associate professor at the University of Maryland. Tom’s research sits at the intersection of ML and optimization and has previously been featured in the New Yorker for his work on invisibility cloaks, clothing that can evade object detection. In our conversation, we focus on his more recent research on water…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620 45:05

7M ago45:05

45:05

Today we’re joined by Anna Ivanova, a postdoctoral researcher at MIT Quest for Intelligence. In our conversation with Anna, we discuss her recent paper Dissociating language and thought in large language models: a cognitive perspective. In the paper, Anna reviews the capabilities of LLMs by considering their performance on two different aspects of …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Robotic Dexterity and Collaboration with Monroe Kennedy III - #619 52:49

7M ago52:49

52:49

Today we’re joined by Monroe Kennedy III, an assistant professor at Stanford, director of the Assistive Robotics and Manipulation Lab, and a national director of Black in Robotics. In our conversation with Monroe, we spend some time exploring the robotics landscape, getting Monroe’s thoughts on the current challenges in the field, as well as his op…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618 43:11

7M ago43:11

43:11

Today we’re joined by Nicholas Carlini, a research scientist at Google Brain. Nicholas works at the intersection of machine learning and computer security, and his recent paper “Extracting Training Data from LLMs” has generated quite a buzz within the ML community. In our conversation, we discuss the current state of adversarial machine learning re…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617 31:14

8M ago31:14

31:14

Today we’re joined by Vinodkumar Prabhakaran, a Senior Research Scientist at Google Research. In our conversation with Vinod, we discuss his two main areas of research, using ML, specifically NLP, to explore these social disparities, and how these same social disparities are captured and propagated within machine learning tools. We explore a few sp…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616 1:22:00

8M ago1:22:00

1:22:00

Today we’re joined by Robert Osazuwa Ness, a senior researcher at Microsoft Research, to break down the latest trends in the world of causal modeling. In our conversation with Robert, we explore advances in areas like causal discovery, causal representation learning, and causal judgements. We also discuss the impact causality could have on large la…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Data-Centric Zero-Shot Learning for Precision Agriculture with Dimitris Zermas - #615 32:33

8M ago32:33

32:33

Today we’re joined by Dimitris Zermas, a principal scientist at agriscience company Sentera. Dimitris’ work at Sentera is focused on developing tools for precision agriculture using machine learning, including hardware like cameras and sensors, as well as ML models for analyzing the vast amount of data they acquire. We explore some specific use cas…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar - #614 1:01:44

8M ago1:01:44

1:01:44

Today we’re joined by Anima Anandkumar, Bren Professor of Computing And Mathematical Sciences at Caltech and Sr Director of AI Research at NVIDIA. In our conversation, we take a broad look at the emerging field of AI for Science, focusing on both practical applications and longer-term research areas. We discuss the latest developments in the area o…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613 1:45:45

8M ago1:45:45

1:45:45

Today we continue our AI Trends 2023 series joined by Sameer Singh, an associate professor in the department of computer science at UC Irvine and fellow at the Allen Institute for Artificial Intelligence (AI2). In our conversation with Sameer, we focus on the latest and greatest advancements and developments in the field of NLP, starting out with o…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612 59:40

9M ago59:40

59:40

Today we’re taking a deep dive into the latest and greatest in the world of Reinforcement Learning with our friend Sergey Levine, an associate professor, at UC Berkeley. In our conversation with Sergey, we explore some game-changing developments in the field including the release of ChatGPT and the onset of RLHF. We also explore more broadly the in…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Supporting Food Security in Africa Using ML with Catherine Nakalembe - #611 1:06:09

9M ago1:06:09

1:06:09

Today we conclude our coverage of the 2022 NeurIPS series joined by Catherine Nakalembe, an associate research professor at the University of Maryland, and Africa Program Director under NASA Harvest. In our conversation with Catherine, we take a deep dive into her talk from the ML in the Physical Sciences workshop, Supporting Food Security in Afric…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Service Cards and ML Governance with Michael Kearns - #610 39:08

9M ago39:08

39:08

Today we conclude our AWS re:Invent 2022 series joined by Michael Kearns, a professor in the department of computer and information science at UPenn, as well as an Amazon Scholar. In our conversation, we briefly explore Michael’s broader research interests in responsible AI and ML governance and his role at Amazon. We then discuss the announcement …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Reinforcement Learning for Personalization at Spotify with Tony Jebara - #609 41:27

9M ago41:27

41:27

Today we continue our NeurIPS 2022 series joined by Tony Jebara, VP of engineering and head of machine learning at Spotify. In our conversation with Tony, we discuss his role at Spotify and how the company’s use of machine learning has evolved over the last few years, and the business value of machine learning, specifically recommendations, hold at…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Will ChatGPT take my job? - #608 37:28

9M ago37:28

37:28

More than any system before it, ChatGPT has tapped into our enduring fascination with artificial intelligence, raising in a more concrete and present way important questions and fears about what AI is capable of and how it will impact us as humans. One of the concerns most frequently voiced, whether sincerely or cloaked in jest, is how ChatGPT or s…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Geospatial Machine Learning at AWS with Kumar Chellapilla - #607 36:46

10M ago36:46

36:46

Today we continue our re:Invent 2022 series joined by Kumar Chellapilla, a general manager of ML and AI Services at AWS. We had the opportunity to speak with Kumar after announcing their recent addition of geospatial data to the SageMaker Platform. In our conversation, we explore Kumar’s role as the GM for a diverse array of SageMaker services, wha…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Real-Time ML Workflows at Capital One with Disha Singla - #606 43:36

10M ago43:36

43:36

Today we’re joined by Disha Singla, a senior director of machine learning engineering at Capital One. In our conversation with Disha, we explore her role as the leader of the Data Insights team at Capital One, where they’ve been tasked with creating reusable libraries, components, and workflows to make ML usable broadly across the company, as well …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Weakly Supervised Causal Representation Learning with Johann Brehmer - #605 46:44

10M ago46:44

46:44

Today we’re excited to kick off our coverage of the 2022 NeurIPS conference with Johann Brehmer, a research scientist at Qualcomm AI Research in Amsterdam. We begin our conversation discussing some of the broader problems that causality will help us solve, before turning our focus to Johann’s paper Weakly supervised causal representation learning, …

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Stable Diffusion & Generative AI with Emad Mostaque - #604 42:51

10M ago42:51

42:51

Today we’re excited to kick off our 2022 AWS re:Invent series with a conversation with Emad Mostaque, Founder and CEO of Stability.ai. Stability.ai is a very popular name in the generative AI space at the moment, having taken the internet by storm with the release of its stable diffusion model just a few months ago. In our conversation with Emad, w…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Exploring Large Language Models with ChatGPT - #603 36:30

10M ago36:30

36:30

Today we're joined by ChatGPT, the latest and coolest large language model developed by OpenAl. In our conversation with ChatGPT, we discuss the background and capabilities of large language models, the potential applications of these models, and some of the technical challenges and open questions in the field. We also explore the role of supervise…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602 56:41

10M ago56:41

56:41

Are AI-generating algorithms the path to artificial general intelligence(AGI)? Today we’re joined by Jeff Clune, an associate professor of computer science at the University of British Columbia, and faculty member at the Vector Institute. In our conversation with Jeff, we discuss the broad ambitious goal of the AI field, artificial general intellig…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Programmatic Labeling and Data Scaling for Autonomous Commercial Aviation with Cedric Cocaud - #601 54:40

10M ago54:40

54:40

Today we’re joined by Cedric Cocaud, the chief engineer of the Wayfinder Group at Acubed, the innovation center for aircraft manufacturer Airbus. In our conversation with Cedric, we explore some of the technical challenges of innovation in the aircraft space, including autonomy. Cedric’s work on Project Vahana, Acubed’s foray into air taxis, attemp…

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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600 43:53

11M ago43:53

43:53

Today we’re joined by Heather Nolis, a principal machine learning engineer at T-Mobile. In our conversation with Heather, we explored her machine learning journey at T-Mobile, including their initial proof of concept project, which held the goal of putting their first real-time deep learning model into production. We discuss the use case, which aim…

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