A(z) High Resolution Audio csatorna legjobb podcastjai (2024)

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Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation 39:12

3d ago39:12

39:12

Recent advances in latent diffusion-based generative models for portrait image animation, such as Hallo, have achieved impressive results in short-duration video synthesis. In this paper, we present updates to Hallo, introducing several design enhancements to extend its capabilities. First, we extend the method to produce long-duration videos. To a…

1
ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases 32:59

10h ago32:59

32:59

Enabling large language models to utilize real-world tools effectively is crucial for achieving embodied intelligence. Existing approaches to tool learning have either primarily relied on extremely large language models, such as GPT-4, to attain generalized tool-use abilities in a zero-shot manner, or utilized supervised learning to train limited s…

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Mini-Omni2: Towards Open-source GPT-4o with Vision, Speech and Duplex Capabilities 30:12

2d ago30:12

30:12

GPT-4o, an all-encompassing model, represents a milestone in the development of large multi-modal language models. It can understand visual, auditory, and textual modalities, directly output audio, and support flexible duplex interaction. Models from the open-source community often achieve some functionalities of GPT-4o, such as visual understandin…

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Markets vs. The Fed: Who’s Right About Inflation & Employment? 1:22:06

4d ago1:22:06

1:22:06

In this episode of The Higher Standard, Chris and Saied take the stage as a dynamic duo, flying solo without their third musketeer, Haroon, who’s off on PTO (probably in a pickleball tournament or hiding from the Fed). With no one to keep them in check, the two dive headfirst into a whirlwind of financial insights, market predictions, and why the M…

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Housing Market Update: Prices Falling in 26 of 28 Major Cities 1:09:54

11d ago1:09:54

1:09:54

Consumers might have to wait two to three years for their perceptions of inflation to normalize, as highlighted by Fed’s Daly, leaving many still wincing at higher prices. Meanwhile, falling home prices are causing significant distress, particularly in ten states where mortgage balances now exceed property values. ➡️ Episode 252 of The Higher Stand…

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F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching 35:59

15d ago35:59

35:59

This paper introduces F5-TTS, a fully non-autoregressive text-to-speech system based on flow matching with Diffusion Transformer (DiT). Without requiring complex designs such as duration model, text encoder, and phoneme alignment, the text input is simply padded with filler tokens to the same length as input speech, and then the denoising is perfor…

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LightRAG: Simple and Fast Retrieval-Augmented Generation 37:42

16d ago37:42

37:42

Retrieval-Augmented Generation (RAG) systems enhance large language models (LLMs) by integrating external knowledge sources, enabling more accurate and contextually relevant responses tailored to user needs. However, existing RAG systems have significant limitations, including reliance on flat data representations and inadequate contextual awarenes…

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Aria: An Open Multimodal Native Mixture-of-Experts Model 17:56

17d ago17:56

17:56

Information comes in diverse modalities. Multimodal native AI models are essential to integrate real-world information and deliver comprehensive understanding. While proprietary multimodal native models exist, their lack of openness imposes obstacles for adoptions, let alone adaptations. To fill this gap, we introduce Aria, an open multimodal nativ…

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AgentKit: Structured LLM Reasoning with Dynamic Graphs 30:22

18d ago30:22

30:22

We propose an intuitive LLM prompting framework (AgentKit) for multifunctional agents. AgentKit offers a unified framework for explicitly constructing a complex"thought process"from simple natural language prompts. The basic building block in AgentKit is a node, containing a natural language prompt for a specific subtask. The user then puts togethe…

1
Kobe, Cash Flow, & Chasing Dreams: A Laid-Back Financial Chat 1:22:03

18d ago1:22:03

1:22:03

The hosts take a hilarious trip down memory lane, reminiscing about the good old days of AIM (AOL Instant Messenger). They crack up over their embarrassingly bad usernames—ones that should probably never see the light of day again. You know that cringe-worthy online persona you thought was behind you? Turns out, it never really leaves! They dive in…

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PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling 33:45

19d ago33:45

33:45

Document understanding is a challenging task to process and comprehend large amounts of textual and visual information. Recent advances in Large Language Models (LLMs) have significantly improved the performance of this task. However, existing methods typically focus on either plain text or a limited number of document images, struggling to handle …

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Diffusion Models are Evolutionary Algorithms 31:05

23d ago31:05

31:05

In a convergence of machine learning and biology, we reveal that diffusion models are evolutionary algorithms. By considering evolution as a denoising process and reversed evolution as diffusion, we mathematically demonstrate that diffusion models inherently perform evolutionary algorithms, naturally encompassing selection, mutation, and reproducti…

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Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering 39:11

24d ago39:11

39:11

The potential effectiveness of counterspeech as a hate speech mitigation strategy is attracting increasing interest in the NLG research community, particularly towards the task of automatically producing it. However, automatically generated responses often lack the argumentative richness which characterises expert-produced counterspeech. In this wo…

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LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations 36:51

25d ago36:51

36:51

Large language models (LLMs) often produce errors, including factual inaccuracies, biases, and reasoning failures, collectively referred to as"hallucinations". Recent studies have demonstrated that LLMs' internal states encode information regarding the truthfulness of their outputs, and that this information can be utilized to detect errors. In thi…

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From Basic Budgeting to Port Strikes & Bananas 1:32:11

25d ago1:32:11

1:32:11

The 250th episode of The Higher Standard podcast marks a significant milestone packed with our unique style of humor and engaging discussions on financial literacy. Hosts Chris, Saied, and Haroon navigate the complexities of budgeting and personal finance with an entertaining twist. They delve into the nitty-gritty of establishing a payday routine,…

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Internal Consistency and Self-Feedback in Large Language Models: A Survey 1:20:28

26d ago1:20:28

1:20:28

Large language models (LLMs) often exhibit deficient reasoning or generate hallucinations. To address these, studies prefixed with"Self-"such as Self-Consistency, Self-Improve, and Self-Refine have been initiated. They share a commonality: involving LLMs evaluating and updating themselves. Nonetheless, these efforts lack a unified perspective on su…

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On the Diagram of Thought 17:27

1M ago17:27

17:27

We introduce Diagram of Thought (DoT), a framework that models iterative reasoning in large language models (LLMs) as the construction of a directed acyclic graph (DAG) within a single model. Unlike traditional approaches that represent reasoning as linear chains or trees, DoT organizes propositions, critiques, refinements, and verifications into a…

1
3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion 46:12

1M ago46:12

46:12

The increasing demand for high-quality 3D assets across various industries necessitates efficient and automated 3D content creation. Despite recent advancements in 3D generative models, existing methods still face challenges with optimization speed, geometric fidelity, and the lack of assets for physically based rendering (PBR). In this paper, we i…

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The Housing Market Has A BIG Problem 1:05:46

1M ago1:05:46

1:05:46

Chris takes the helm for episode 249 of The Higher Standard podcast, delivering an insightful solo deep dive into the economic landscape. The episode kicks off by addressing the Federal Reserve's unexpected 50 basis point rate cut and its implications for the U.S. economy, drawing parallels to previous cuts in 2001 and 2007 that preceded recessions…

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StoryMaker: Towards Holistic Consistent Characters in Text-to-image Generation 28:41

1M ago28:41

28:41

Tuning-free personalized image generation methods have achieved significant success in maintaining facial consistency, i.e., identities, even with multiple characters. However, the lack of holistic consistency in scenes with multiple characters hampers these methods' ability to create a cohesive narrative. In this paper, we introduce StoryMaker, a …

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On the limits of agency in agent-based models 32:39

1M ago32:39

32:39

Agent-based modeling (ABM) seeks to understand the behavior of complex systems by simulating a collection of agents that act and interact within an environment. Their practical utility requires capturing realistic environment dynamics and adaptive agent behavior while efficiently simulating million-size populations. Recent advancements in large lan…

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The Fed Cut Rates Half A Point, Now What 1:30:17

1M ago1:30:17

1:30:17

Episode 248 of The Higher Standard is here and Saied, Chris and Haroon break down the key takeaways from the Fed's decision to cut a full 50bps for its first rate cut of the cycle. The last two times this happened historically was in 2001 and 2007. After each of those was a notable recessionary economy. ➡️ Real estate agents are also dropping like …

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Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization 17:23

1M ago17:23

17:23

In many modern LLM applications, such as retrieval augmented generation, prompts have become programs themselves. In these settings, prompt programs are repeatedly called with different user queries or data instances. A big practical challenge is optimizing such prompt programs. Recent work has mostly focused on either simple prompt programs or ass…

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PuLID: Pure and Lightning ID Customization via Contrastive Alignment 29:56

1M ago29:56

29:56

We propose Pure and Lightning ID customization (PuLID), a novel tuning-free ID customization method for text-to-image generation. By incorporating a Lightning T2I branch with a standard diffusion one, PuLID introduces both contrastive alignment loss and accurate ID loss, minimizing disruption to the original model and ensuring high ID fidelity. Exp…

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MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery 33:14

1M ago33:14

33:14

Retrieval-Augmented Generation (RAG) leverages retrieval tools to access external databases, thereby enhancing the generation quality of large language models (LLMs) through optimized context. However, the existing retrieval methods are constrained inherently, as they can only perform relevance matching between explicitly stated queries and well-fo…

1
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming 30:36

1M ago30:36

30:36

Recent advances in language models have achieved significant progress. GPT-4o, as a new milestone, has enabled real-time conversations with humans, demonstrating near-human natural fluency. Such human-computer interaction necessitates models with the capability to perform reasoning directly with the audio modality and generate output in streaming. …

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LLaMA-Omni: Seamless Speech Interaction with Large Language Models 32:15

2M ago32:15

32:15

Models like GPT-4o enable real-time interaction with large language models (LLMs) through speech, significantly enhancing user experience compared to traditional text-based interaction. However, there is still a lack of exploration on how to build speech interaction models based on open-source LLMs. To address this, we propose LLaMA-Omni, a novel m…

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GeoCalib: Learning Single-image Calibration with Geometric Optimization 19:16

2M ago19:16

19:16

From a single image, visual cues can help deduce intrinsic and extrinsic camera parameters like the focal length and the gravity direction. This single-image calibration can benefit various downstream applications like image editing and 3D mapping. Current approaches to this problem are based on either classical geometry with lines and vanishing po…

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We Are Getting A Rate Cut This Week 1:20:55

2M ago1:20:55

1:20:55

In episode 247 of The Higher Standard, Saied, Chris and Haroon dive deep into a lighthearted discussion about the unexpected appearance of cockroaches in their studio. As they transition into the financial content, the team tackles a listener question on how to find the best real estate agent. And of course they had to cover the guaranteed rate cut…

1
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks 1:10:54

2M ago1:10:54

1:10:54

Insect production for food and feed presents a promising supplement to ensure food safety and address the adverse impacts of agriculture on climate and environment in the future. However, optimisation is required for insect production to realise its full potential. This can be by targeted improvement of traits of interest through selective breeding…

1
Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model 29:24

2M ago29:24

29:24

Recent advancements in audio generation have been significantly propelled by the capabilities of Large Language Models (LLMs). The existing research on audio LLM has primarily focused on enhancing the architecture and scale of audio language models, as well as leveraging larger datasets, and generally, acoustic codecs, such as EnCodec, are used for…

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rerankers: A Lightweight Python Library to Unify Ranking Methods 15:39

2M ago15:39

15:39

This paper presents rerankers, a Python library which provides an easy-to-use interface to the most commonly used re-ranking approaches. Re-ranking is an integral component of many retrieval pipelines; however, there exist numerous approaches to it, relying on different implementation methods. rerankers unifies these methods into a single user-frie…

1
Automated Design of Agentic Systems 23:55

2M ago23:55

23:55

Researchers are investing substantial effort in developing powerful general-purpose agents, wherein Foundation Models are used as modules within agentic systems (e.g. Chain-of-Thought, Self-Reflection, Toolformer). However, the history of machine learning teaches us that hand-designed solutions are eventually replaced by learned solutions. We formu…

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Real Money Making Habits That Can Make You Millions 1:33:39

2M ago1:33:39

1:33:39

In this episode of The Higher Standard, your charming hosts Chris, Saied, and Haroon dive deep into the habits that might be holding you back from financial freedom, inspired by Humphrey Yang’s insightful YouTube video “The Middle Class Habits Keeping You in the Rat Race.” The trio dissects the habits that seem harmless but might be chaining you to…

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Text2SQL is Not Enough: Unifying AI and Databases with TAG 42:53

2M ago42:53

42:53

AI systems that serve natural language questions over databases promise to unlock tremendous value. Such systems would allow users to leverage the powerful reasoning and knowledge capabilities of language models (LMs) alongside the scalable computational power of data management systems. These combined capabilities would empower users to ask arbitr…

1
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders 35:05

2M ago35:05

35:05

The ability to accurately interpret complex visual information is a crucial topic of multimodal large language models (MLLMs). Recent work indicates that enhanced visual perception significantly reduces hallucinations and improves performance on resolution-sensitive tasks, such as optical character recognition and document analysis. A number of rec…

1
Sapiens: Foundation for Human Vision Models 25:58

2M ago25:58

25:58

We present Sapiens, a family of models for four fundamental human-centric vision tasks -- 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction. Our models natively support 1K high-resolution inference and are extremely easy to adapt for individual tasks by simply fine-tuning models pretrained on over 300 milli…

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OctFusion: Octree-based Diffusion Models for 3D Shape Generation 33:00

2M ago33:00

33:00

Diffusion models have emerged as a popular method for 3D generation. However, it is still challenging for diffusion models to efficiently generate diverse and high-quality 3D shapes. In this paper, we introduce OctFusion, which can generate 3D shapes with arbitrary resolutions in 2.5 seconds on a single Nvidia 4090 GPU, and the extracted meshes are…

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What You Need To Know About Rate Cuts & How to Make Millions 1:23:50

2M ago1:23:50

1:23:50

In episode 245 of The Higher Standard podcast, Chris, Saied, and Haroon dive into the latest market-moving headlines. They start with a bombshell from Jerome Powell, who finally hints that the Fed might cut interest rates. But before you get too excited, they break down why rate cuts tied to a looming recession might spell trouble for your stock po…

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Writing in the Margins: Better Inference Pattern for Long Context Retrieval 29:22

2M ago29:22

29:22

In this paper, we introduce Writing in the Margins (WiM), a new inference pattern for Large Language Models designed to optimize the handling of long input sequences in retrieval-oriented tasks. This approach leverages the chunked prefill of the key-value cache to perform segment-wise inference, which enables efficient processing of extensive conte…

1
X-CUBE-STL: Supporting more STM32s and sharing resources to demystify functional safety 8:35

2M ago8:35

8:35

🔒 Ensure your projects meet the highest safety standards. X-CUBE-STL now supports the STM32MP1, the STM32U5, the STM32L5, the STM32H5, and the STM32WL. 🔍 Discover more on the #STBlog: https://blog.st.com/x-cube-stl/

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Collabora deploys machine vision with GStreamer on STM32MP2 7:24

2M ago7:24

7:24

Machine vision on STM32MP2. Collabora, a member of the ST Partner Program, presented GStreamer, a computer vision pipeline tailored for neural networks. 🔍 Discover more on the #STBlog: https://blog.st.com/collabora-machine-vision-gstreamer-stm32mp2/

1
From basic training to world-class competitions: MEMS sensors in wearable technology enhance athletic performance 4:57

2M ago4:57

4:57

Embedded in wearable technology like smartwatches and fitness trackers, MEMS sensors facilitate athletic performance monitoring and enhancement. 🔍 Discover more on the #STBlog: https://blog.st.com/mems-sensors-wearable-technology/

1
SensorTile.box PRO, now supported by Zephyr 6:46

2M ago6:46

6:46

🚀 Zephyr now fully supports the SensorTile.box PRO. Developers must use version 3.6 or higher to take advantage of it. 🔍 Discover more on the #STBlog: https://blog.st.com/sensortilebox-pro/

1
X-CUBE-MATTER: More than a simple software package, a solution to current challenges 7:48

2M ago7:48

7:48

👩‍💻 X-CUBE-MATTER now supports Matter 1.3. Devices can more easily show how much electricity they consume, thus helping users monitor their energy consumption in real-time. 🔍 Learn more on the #STBlog: https://blog.st.com/x-cube-matter/

1
CommScope PKI Center™: An ally on the path to the IoT Device Security certification and production for Matter products 8:59

2M ago8:59

8:59

🔒 How to truly secure a #Matter application? Commscope, a member of the ST Partner Program, offers pre-integrated security solutions to ensure STM32 developers can efficiently meet certification requirements. 🔍 Discover more on the #STBlog: https://blog.st.com/commscope/

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Dive into the world’s largest cinema image sensor, developed for Big Sky, the ultra-high-resolution camera system capturing content for Sphere 11:01

2M ago11:01

11:01

🔮 Sphere Studios and ST developed the world’s largest image sensor. How did our collaboration begin? What are the features of our custom image sensor, and how does it serve Sphere’s Big Sky camera system? 🔍 Discover more on the #STBlog: https://blog.st.com/world-largest-cinema-image-sensor/

1
STM32CubeProgrammer 2.17 simplifies serial numbering and option byte configurations 21:56

2M ago21:56

21:56

💡 A quality-of-life improvement. STM32CubeProgrammer 2.17 enables writing ASCII strings in memory, automatic incrementation in serial numbering, or exporting and importing byte options. This new release also shows how ST listens to its community, which is why we continue to improve support for Segger probes. 🔍 Learn more on the #STBlog: https://blo…

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Fact Finder -- Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs 19:53

2M ago19:53

19:53

Recent advancements in Large Language Models (LLMs) have showcased their proficiency in answering natural language queries. However, their effectiveness is hindered by limited domain-specific knowledge, raising concerns about the reliability of their responses. We introduce a hybrid system that augments LLMs with domain-specific knowledge graphs (K…

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