I migliori Multimodal Ai podcast (2024)

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From satellite tracking and space regulation to multimodal AI, and more 38:54

3d ago38:54

38:54

Welcome to the new episode of the TNW Podcast — the show where we discuss the latest developments in the European technology ecosystem and feature interviews with some of the most interesting people in the industry. In today’s episode, we're featuring two interviews recorded at TNW Conference 2024 ago with two amazing women working in very differen…

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OMG-LLaVA: Unifying Vision and Language Understanding, Step-DPO for LLMs Mathematical Reasoning, MUMU's Multimodal Image Generation 12:15

4d ago12:15

12:15

OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and UnderstandingStep-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMsMUMU: Bootstrapping Multimodal Image Generation from Text-to-Image DataSimulating Classroom Education with LLM-Empowered AgentsSeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval …

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Accelerating Multimodal AI // Ethan Rosenthal // #242 54:57

15d ago54:57

54:57

Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/Accelerating Multimodal AI // MLOps podcast #241 with Ethan Rosenthal, Member of Technical Staff of Runway.Huge thank you to AWS for sponsoring this episode. AWS - https://aws.amazon.com/// AbstractWe’re still trying to figure out systems …

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Multimodal AI, Self-Supervised Learning, Counterfactual Reasoning, and AI Agents with Vasudev Lal 37:28

30d ago37:28

37:28

Discover the cutting-edge advancements in artificial intelligence with Vasudev Lal, Principal AI Research Scientist at Intel. This episode delves into the benefits of multimodal AI and the enhanced validity achieved through self-supervised learning. Vasudev also explores the applications of counterfactual reasoning in AI and the efficiency gains fr…

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AI storytelling: As you wish 🔴 AINTS 044 1:07:16

12h ago1:07:16

1:07:16

This week, Tristan and Tasia are joined by AINTS' very first guest, writer/performer/podcaster/video producer, Bill Meeks,. to look at the latest AI image and video generator updates from Stable Diffusion and Runway AI, along with a couple of newcomers. Then Bill walks us through the key features of Everly Heights Story Studio, his AI storytelling …

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All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // #245 52:54

15h ago52:54

52:54

Catherine Nelson is a freelance data scientist and writer. She is currently working on the forthcoming O’Reilly book "Software Engineering for Data Scientists”.Why All Data Scientists Should Learn Software Engineering Principles // MLOps podcast #245 with Catherine Nelson, a freelance Data Scientist.A big thank you to LatticeFlow AI for sponsoring …

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[QA] InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output 10:34

22h ago10:34

10:34

InternLM-XComposer-2.5 (IXC-2.5) is a powerful large-vision language model excelling in text-image tasks, with upgrades in vision-language comprehension and applications. https://arxiv.org/abs//2407.03320 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/…

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InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output 12:22

22h ago12:22

12:22

InternLM-XComposer-2.5 (IXC-2.5) is a powerful large-vision language model excelling in text-image tasks, with upgrades in vision-language comprehension and applications. https://arxiv.org/abs//2407.03320 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/…

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[QA] Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems 10:21

22h ago10:21

10:21

SummHay introduces a task to evaluate LLMs and RAG systems on long-context tasks, highlighting challenges and proposing a reproducible evaluation method for system performance. https://arxiv.org/abs//2407.01370 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/po…

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Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems 19:24

22h ago19:24

19:24

SummHay introduces a task to evaluate LLMs and RAG systems on long-context tasks, highlighting challenges and proposing a reproducible evaluation method for system performance. https://arxiv.org/abs//2407.01370 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/po…

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[QA] LLM-Select: Feature Selection with Large Language Models 11:04

2d ago11:04

11:04

Large language models (LLMs) can effectively select predictive features for tasks without seeing training data, rivaling data-driven methods like LASSO, benefiting domains like healthcare. https://arxiv.org/abs//2407.02694 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…

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LLM-Select: Feature Selection with Large Language Models 17:55

2d ago17:55

17:55

Large language models (LLMs) can effectively select predictive features for tasks without seeing training data, rivaling data-driven methods like LASSO, benefiting domains like healthcare. https://arxiv.org/abs//2407.02694 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…

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[QA] Universal Length Generalization with Turing Programs 7:59

2d ago7:59

7:59

Proposing Turing Programs for length generalization in large language models, achieving robust performance on various algorithmic tasks and demonstrating the ability of transformers to implement Turing Programs. https://arxiv.org/abs//2407.03310 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…

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Universal Length Generalization with Turing Programs 22:35

2d ago22:35

22:35

Proposing Turing Programs for length generalization in large language models, achieving robust performance on various algorithmic tasks and demonstrating the ability of transformers to implement Turing Programs. https://arxiv.org/abs//2407.03310 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcast…

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The Importance of Flexibility and Governance in AI Model Management, with Robert Daigle 24:49

2d ago24:49

24:49

Learn about the importance of flexibility and governance in AI model management as Robert Daigle, Director of Global AI Business at Lenovo, discusses the future of AI deployment across various computing environments. He highlights the collaborative efforts of Lenovo and partners in addressing specific vertical use cases such as retail, healthcare, …

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AWE 2024 Panel Discussion: Current State and Future Direction of AR Glasses 56:00

3d ago56:00

56:00

I moderated a panel at the recent AWE conference that took place a couple of weeks ago in Long Beach, California. The panel featured Karl Guttag from KGOnTech, Adi Robertson from the Verve, Jeri Ellsworth from Tilt Five, and Ed Tang from Avegant. The session was titled: Current State and Future Direction of AR Glasses and the session description re…

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Meta GenAI Infra Blog Review // Special MLOps Podcast 38:53

3d ago38:53

38:53

Meta GenAI Infra Blog Review // Special MLOps Podcast episode by Demetrios.// AbstractDemetrios explores Meta's innovative infrastructure for large-scale AI operations, highlighting three blog posts on training large language models, maintaining AI capacity, and building Meta's GenAI infrastructure. The discussion reveals Meta's handling of hundred…

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Persona-Driven Data Synthesis, Enhancing Medical MLLMs, Robot Learning, Knowledge Distillation in LLMs, Text to 3D Gaussian Revolution 11:24

3d ago11:24

11:24

Scaling Synthetic Data Creation with 1,000,000,000 PersonasHuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at ScaleLLaRA: Supercharging Robot Learning Data for Vision-Language PolicyDirect Preference Knowledge Distillation for Large Language ModelsGaussianDreamerPro: Text to Manipulable 3D Gaussians with Highly Enh…

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[QA] Searching for Best Practices in Retrieval-Augmented Generation 10:22

3d ago10:22

10:22

The paper explores optimal practices for retrieval-augmented generation (RAG) to improve response quality and efficiency, suggesting strategies and demonstrating benefits of multimodal retrieval techniques. https://arxiv.org/abs//2407.01219 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: ht…

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Searching for Best Practices in Retrieval-Augmented Generation 22:28

3d ago22:28

22:28

The paper explores optimal practices for retrieval-augmented generation (RAG) to improve response quality and efficiency, suggesting strategies and demonstrating benefits of multimodal retrieval techniques. https://arxiv.org/abs//2407.01219 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: ht…

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Generative AI for Enterprise with Noelle Russell of AI Leadership Institute 45:42

3d ago45:42

45:42

Noelle Russell, founder of the AI Leadership Institute, shares her experience in AI, highlighting responsible AI, challenges in implementation, and the potential of generative AI in customer service. She emphasizes collaboration, flexibility, and aligning values with partners. Russell discusses harnessing team knowledge with LLMs, the role of certi…

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[QA] AI Agents That Matter 10:07

4d ago10:07

10:07

Analysis of current AI agent benchmarks reveals shortcomings in evaluation practices, focusing on accuracy over cost, leading to complex agents. Proposed solutions aim to optimize cost and accuracy jointly. https://arxiv.org/abs//2407.01502 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: ht…

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AI Agents That Matter 22:38

4d ago22:38

22:38

Analysis of current AI agent benchmarks reveals shortcomings in evaluation practices, focusing on accuracy over cost, leading to complex agents. Proposed solutions aim to optimize cost and accuracy jointly. https://arxiv.org/abs//2407.01502 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: ht…

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E140: Accelerating Enterprise AI Adoption with Better Agentic Workflows 35:13

4d ago35:13

35:13

Mark Huang is Co-Founder of Gradient, the platform for enterprise agentic automation. Gradient recently open sourced their 4M context window finetune of Llama-3, which is the longest context window available today. Gradient has raised $10M from investors including Wing VC, Mango Capital, and Tokyo Black. In this episode, we dig into enterprise read…

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[QA] Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs 10:36

5d ago10:36

10:36

LLMs process text with tokens, but individual tokens may not relate to word meanings. This study explores how LLMs convert tokens into higher-level representations, revealing an "erasure" effect. https://arxiv.org/abs//2406.20086 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podca…

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Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs 8:50

5d ago8:50

8:50

LLMs process text with tokens, but individual tokens may not relate to word meanings. This study explores how LLMs convert tokens into higher-level representations, revealing an "erasure" effect. https://arxiv.org/abs//2406.20086 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podca…

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[QA] Scaling Synthetic Data Creation with 1,000,000,000 Personas 11:56

5d ago11:56

11:56

The paper introduces Persona Hub, a collection of 1 billion diverse personas, to create diverse synthetic data at scale for various applications, showcasing its versatility and potential impact. https://arxiv.org/abs//2406.20094 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcas…

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Scaling Synthetic Data Creation with 1,000,000,000 Personas 16:08

5d ago16:08

16:08

The paper introduces Persona Hub, a collection of 1 billion diverse personas, to create diverse synthetic data at scale for various applications, showcasing its versatility and potential impact. https://arxiv.org/abs//2406.20094 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcas…

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[QA] Is Programming by Example solved by LLMs? 9:45

6d ago9:45

9:45

Large Language Models (LLMs) show promise in solving Programming-by-Examples (PBE) tasks but require fine-tuning for better performance, especially for out-of-distribution problems. https://arxiv.org/abs//2406.08316 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/…

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Is Programming by Example solved by LLMs? 16:57

6d ago16:57

16:57

Large Language Models (LLMs) show promise in solving Programming-by-Examples (PBE) tasks but require fine-tuning for better performance, especially for out-of-distribution problems. https://arxiv.org/abs//2406.08316 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/…

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[QA] Can LLMs Learn by Teaching? A Preliminary Study 9:27

6d ago9:27

9:27

The paper explores whether Language Models can learn by teaching (LbT) like humans, showing promising results in improving models through teaching methods. https://arxiv.org/abs//2406.14629 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id…

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Can LLMs Learn by Teaching? A Preliminary Study 18:28

6d ago18:28

18:28

The paper explores whether Language Models can learn by teaching (LbT) like humans, showing promising results in improving models through teaching methods. https://arxiv.org/abs//2406.14629 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id…

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[QA] Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization 11:31

7d ago11:31

11:31

Large language models struggle with capturing relevant information in the middle of input due to intrinsic attention bias. Mitigating bias with found-in-the-middle mechanism improves performance and RAG outcomes significantly. https://arxiv.org/abs//2406.16008 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_paper…

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Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization 15:38

7d ago15:38

15:38

Large language models struggle with capturing relevant information in the middle of input due to intrinsic attention bias. Mitigating bias with found-in-the-middle mechanism improves performance and RAG outcomes significantly. https://arxiv.org/abs//2406.16008 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_paper…

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[QA] Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction 8:38

7d ago8:38

8:38

This paper explores the emergence of self-replicators on computational substrates, showing how they arise through random interactions and self-modification, leading to complex dynamics. https://arxiv.org/abs//2406.19108 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.…

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Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction 21:19

7d ago21:19

21:19

This paper explores the emergence of self-replicators on computational substrates, showing how they arise through random interactions and self-modification, leading to complex dynamics. https://arxiv.org/abs//2406.19108 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.…

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AI music and copyright 🔴 AINTS 043 53:15

7d ago53:15

53:15

This week, Tristan and Tasia relive a tech journalist's chaotic adventure with Meta's Ray-Ban AI glasses in Montreal and uncover the significant security flaw found in Rabbit’s R1 AI gadget. Then we dive into the heated legal battles over AI-generated music, with the RIAA suing Suno and Udio for copyright infringement and YouTube negotiating music …

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AI Agents for Consumers // Shaun Wei // #244 57:26

8d ago57:26

57:26

Sean Wei, the CEO and co-founder of RealChar, shares his journey from working in the autonomous vehicle industry to creating an open-source voice assistant project called Realchar, which eventually evolved into Rivia, a voice AI assistant focused on managing personal phone calls.The Future of AI and Consumer Empowerment // MLOps podcast #244 with S…

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FineWeb Datasets, YouDream's 3D Animals, PDE-Solving Breakthrough, Noise-Conditioned Perception Alignment, Language Models' Continual Learning 11:02

8d ago11:02

11:02

The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleYouDream: Generating Anatomically Controllable Consistent Text-to-3D AnimalsDiffusionPDE: Generative PDE-Solving Under Partial ObservationAligning Diffusion Models with Noise-Conditioned PerceptionUnlocking Continual Learning Abilities in Language Models…

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[QA] REVISION MATTERS: Generative Design Guided by Revision Edits 9:09

8d ago9:09

9:09

Investigating how human designer revisions benefit a multimodal generative model for layout design, showing expert edits lead to strong design outcomes, emphasizing human guidance for iterative improvement. https://arxiv.org/abs//2406.18559 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: ht…

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REVISION MATTERS: Generative Design Guided by Revision Edits 13:36

8d ago13:36

13:36

Investigating how human designer revisions benefit a multimodal generative model for layout design, showing expert edits lead to strong design outcomes, emphasizing human guidance for iterative improvement. https://arxiv.org/abs//2406.18559 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: ht…

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[QA] The Remarkable Robustness of LLMs: Stages of Inference? 9:20

8d ago9:20

9:20

The study explores Large Language Models' robustness by deleting and swapping layers, finding interventions retain 72-95% accuracy without fine-tuning, with more layers showing increased robustness. https://arxiv.org/abs//2406.19384 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://po…

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The Remarkable Robustness of LLMs: Stages of Inference? 15:11

8d ago15:11

15:11

The study explores Large Language Models' robustness by deleting and swapping layers, finding interventions retain 72-95% accuracy without fine-tuning, with more layers showing increased robustness. https://arxiv.org/abs//2406.19384 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://po…

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E139: Taking on AWS with an Open Source Alternative 38:05

9d ago38:05

38:05

Umur Cubukcu is Co-Founder of Ubicloud, the open source and portable cloud that can reduce cloud spend by 3–10x. Their project, also called ubicloud, has over 3K stars and provides elastic compute, block storage, virtual networking, managed Postgres, and IAM services. Ubicloud has raised $16M from investors including 500 Global and YC. In this epis…

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BigCodeBench Challenges, Cambrian-1 Leap, D-MERIT's Evaluation, Long Context Breakthrough in Vision 11:06

9d ago11:06

11:06

DreamBench++: A Human-Aligned Benchmark for Personalized Image GenerationBigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsCambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsEvaluating D-MERIT of Partial-annotation on Information RetrievalLong Context Transfer from Language to Vision…

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[QA] Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers 9:37

9d ago9:37

9:37

Large Language Models can easily manipulate fact retrieval by changing contexts, behaving like associative memory models. Transformers use self-attention and value matrix for memory tasks. https://arxiv.org/abs//2406.18400 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…

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Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers 16:26

9d ago16:26

16:26

Large Language Models can easily manipulate fact retrieval by changing contexts, behaving like associative memory models. Transformers use self-attention and value matrix for memory tasks. https://arxiv.org/abs//2406.18400 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…

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[QA] Data curation via joint example selection further accelerates multimodal learning 8:30

9d ago8:30

8:30

Jointly selecting batches of data improves learning in large-scale pretraining. Multimodal contrastive objectives reveal data dependencies, leading to faster training with reduced computational overhead. https://arxiv.org/abs//2406.17711 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https…

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Data curation via joint example selection further accelerates multimodal learning 13:49

9d ago13:49

13:49

Jointly selecting batches of data improves learning in large-scale pretraining. Multimodal contrastive objectives reveal data dependencies, leading to faster training with reduced computational overhead. https://arxiv.org/abs//2406.17711 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https…

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