Are you a critical thinker eager to dive into AI? Welcome to The Generative AI Podcast: Super Prompt. We leverage the latest industry developments to build foundational knowledge in AI. Join me, Tony Wan, an ex Silicon Valley executive, as we 'unhype the hype' of AI via illuminating conversations with top engineers and entrepreneurs, complemented by in-depth solo episodes. Our goal? To make it almost unnecessary to send a cybernetic organism back in time to fix things. Tailored for the techn ...
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A daily update on the latest AI Research Papers. We provide a high level overview of a handful of papers each day and will link all papers in the description for further reading. This podcast is created entirely with AI by PocketPod. Head over to https://pocketpod.app to learn more.
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Tune in as we dissect recent AI news, explore cutting-edge innovations, and sit down with influential voices shaping the future of AI. Whether you're a seasoned expert or just dipping your toes into the AI waters, our podcast is your go-to resource for staying informed and inspired. #IntelAI @IntelAI
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Welcome to an exciting new season of the podcast Your Career: Choice or Chance? - as we dive into the ever-evolving world of GenAI in the Workplace and explore the latest trends, experiences, and career journeys shaping the future of work as AI is increasingly ingrained in it. Each episode provides fresh insights, addressing the transformative influence of GenAI in shaping the workforce of tomorrow, making it a must-listen for anyone interested in staying ahead in the ever-evolving world of ...
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Your AI Roadmap the podcast is on a mission to decrease fluffy HYPE and talk to the people actually building AI. Anyone can build in AI. Including you. Whether you’re terrified or excited, there’s been no better time than today to dive in! Now is the time to be curious and future-proof your career and ... ultimately your income. This podcast isn't about white dudes patting themselves on the back, this is about you and me and ALL the paths into cool projects around the world! What's next on y ...
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"On AI" is an innovative podcast uniquely tailored for creators diving into the fascinating world of generative AI. Generative AI is accelerating artistic expressions resulting in the development of completely new genres, transforming art, design, film, music, storytelling and immersive multimodal experiences. It's also transforming the way we experience the world. From fashion, gaming, robotics and all the pop culture in between. In each episode, we examine the transformative power of artif ...
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AI Named This Show is a weekly AI-focused tech show. Join longtime friends and tech media veterans Tasia Custode and Tristan Jutras as they dive into the AI abyss, unraveling the complexities of artificial intelligence. They cover everything from groundbreaking AI news to the practical applications — and societal implications — of large language models, machine learning, deep learning, generative AI and more. FOLLOW AI Named This Show on Facebook, Instagram, YouTube and X (Twitter) Tristan & ...
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Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.
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Looking to explore the intersection of AI and journalism? Influential thought leaders in the industry join data scientist and media entrepreneur, Nikita Roy, each week to explore what's next with AI and its implications for the media landscape. In each episode, industry experts discuss how automated newsrooms have the potential to change journalism and uncover opportunities to optimize workflows and increase efficiency without compromising journalistic integrity. Hosted on Acast. See acast.c ...
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The leading podcast on how to build a successful open source company. Learn from the founders of HashiCorp, Chronosphere, Vercel, MongoDB, DBT, mobile.dev and more!
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EdgeCortix subject matter experts discuss edge AI processors, AI software frameworks, and AI industry trends.
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A weekly show discussing the latest developments in the European technology ecosystem and featuring interviews with some of the most interesting people in the industry.
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Running out of time to catch up with new arXiv papers? We take the most impactful papers and present them as convenient podcasts. If you're a visual learner, we offer these papers in an engaging video format. Our service fills the gap between overly brief paper summaries and time-consuming full paper reads. You gain academic insights in a time-efficient, digestible format. Code behind this work: https://github.com/imelnyk/ArxivPapers Support this podcast: https://podcasters.spotify.com/pod/s ...
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I make videos about machine learning research papers, programming, and issues of the AI community, and the broader impact of AI in society. Twitter: https://twitter.com/ykilcher Discord: https://discord.gg/4H8xxDF If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar (preferred to Patreon): https://www.subscribestar.com/yannickilcher Patre ...
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The AR Show dives deep into the emerging world of Augmented Reality with a focus on the underlying technologies and uses of Smartglasses, and the people behind them. I talk with entrepreneurs, executives, investors and early adopters to extract insights that will both inform and inspire you. In each episode, I explore the approaches, challenges, and progress behind the products and companies. I also extract the lessons learned and insightful advice from each guest. Equal parts technology, pr ...
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eDiscovery Data Points are selected articles published on the ComplexDiscovery blog and shared to update legal, information technology, and business professionals on the art and science of data discovery and legal discovery.
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Seed to Harvest, hosted by Paige Finn Doherty, highlights stories, frameworks & tactics from a diverse array of investors, founders, and creators. If you're interested in investing or building a business, this show is for you!
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From satellite tracking and space regulation to multimodal AI, and more
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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
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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
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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
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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
1:07:16
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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
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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
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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
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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
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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
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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
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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
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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
7:59
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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
22:35
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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
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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
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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
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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
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11:24
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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
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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
22:28
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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
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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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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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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
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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
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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
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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
11:56
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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
16:08
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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?
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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
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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
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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
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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
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11:31
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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
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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
8:38
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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
21:19
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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
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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
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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
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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
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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
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13:36
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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
9:20
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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
15:11
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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
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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
11:06
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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
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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
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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
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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
13:49
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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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