최고 Ai Learning 팟캐스트 (2024)

1
Anthropic Launches New Way for AI Agents To Access Your Data 11:44

11h ago11:44

11:44

Anthropic Launches New Way for AI To Access Your Data My Podcast Course: https://podcaststudio.com/courses/ Discount Code: BLACKFRIDAY Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community: https://www.skool.com/aihustle/about

1
scikit-learn & data science you own 52:04

11h ago52:04

52:04

We are at GenAI saturation, so let’s talk about scikit-learn, a long time favorite for data scientists building classifiers, time series analyzers, dimensionality reducers, and more! Scikit-learn is deployed across industry and driving a significant portion of the “AI” that is actually in production. :probabl is a new kind of company that is stewar…

1
AI for Network Management with Shirley Wu - #710 53:44

7d ago53:44

53:44

Today, we're joined by Shirley Wu, senior director of software engineering at Juniper Networks to discuss how machine learning and artificial intelligence are transforming network management. We explore various use cases where AI and ML are applied to enhance the quality, performance, and efficiency of networks across Juniper’s customers, including…

1
Does the DIFF Transformer make a Diff? 8:03

11d ago8:03

8:03

Introducing a novel transformer architecture, Differential Transformer, designed to improve the performance of large language models. The key innovation lies in its differential attention mechanism, which calculates attention scores as the difference between two separate softmax attention maps. This subtraction effectively cancels out irrelevant co…

1
ChatGPT Got an Update, 4o Beats Google Again 12:35

4d ago12:35

12:35

In this episode, we explore how OpenAI's latest update improves GPT's creative writing, making it more natural, engaging, and tailored to user needs. We also discuss its enhanced ability to analyze uploaded files, offering deeper insights and more thorough responses. My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: …

1
Sam Altman: Tech's New Political Advisor 18:39

2h ago18:39

18:39

In this episode, Jaeden discusses the intersection of AI and politics, focusing on the recent appointment of Sam Altman to the transition team of San Francisco's new mayor, Daniel Lurie. The conversation explores the implications of this trend, the challenges facing San Francisco, and the potential role of tech leaders in governance. Jaeden express…

1
Building Your Own AI Agent with 11 Labs 10:02

7d ago10:02

10:02

In this episode, Jaeden discusses the innovative capabilities of 11 Labs, a leading AI company specializing in voice models and conversational AI agents. He explores how users can build their own conversational agents for various applications, including customer support and restaurant orders. The conversation delves into the setup process, customiz…

1
Creating tested, reliable AI applications 50:09

7d ago50:09

50:09

It can be frustrating to get an AI application working amazingly well 80% of the time and failing miserably the other 20%. How can you close the gap and create something that you rely on? Chris and Daniel talk through this process, behavior testing, and the flow from prototype to production in this episode. They also talk a bit about the apparent s…

1
The Future of AI: Predictions and Realities 18:14

13d ago18:14

18:14

In this episode, Jaeden Schafer discusses the current challenges and developments in the AI industry, particularly focusing on the limitations faced by major players like OpenAI and Anthropic. The conversation explores the anticipated improvements in AI models, the predictions for achieving artificial general intelligence (AGI), and the role of sof…

1
Anthropic Joins Defense Industry - Raising at $40B Valuation 8:42

15d ago8:42

8:42

In this episode, we explore Anthropic's recent partnership with the defense industry and its impressive new valuation of $40 billion. We discuss what this move means for AI applications in defense and the implications of such a high valuation. My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Jo…

1
Why Your RAG System Is Broken, and How to Fix It with Jason Liu - #709 58:03

15d ago58:03

58:03

Today, we're joined by Jason Liu, freelance AI consultant, advisor, and creator of the Instructor library to discuss all things retrieval-augmented generation (RAG). We dig into the tactical and strategic challenges companies face with their RAG system, the different signs Jason looks for to identify looming problems, the issues he most commonly en…

1
Automating Scientific Discovery: ScienceAgentBench 9:49

12d ago9:49

9:49

Introducing, ScienceAgentBench, a new benchmark for evaluating language agents designed to automate scientific discovery. The benchmark comprises 102 tasks extracted from 44 peer-reviewed publications across four disciplines, encompassing essential tasks in a data-driven scientific workflow such as model development, data analysis, and visualizatio…

1
Prune This! PyTorch and Efficient AI 8:04

13d ago8:04

8:04

Both sources explain neural network pruning techniques in PyTorch. The first source, "How to Prune Neural Networks with PyTorch," provides a general overview of the pruning concept and its various methods, along with practical examples of how to implement different pruning techniques using PyTorch's built-in functions. The second source, "Pruning T…

1
AlexWho? Going Deeper with Deep CNNs 11:50

14d ago11:50

11:50

The source is a chapter from the book "Dive into Deep Learning" that explores the historical development of deep convolutional neural networks (CNNs), focusing on the foundational AlexNet architecture. The authors explain the challenges faced in training CNNs before the advent of AlexNet, including limited computing power, small datasets, and lack …

1
AI is changing the cybersecurity threat landscape 55:25

15d ago55:25

55:25

This week, Chris is joined by Gregory Richardson, Vice President and Global Advisory CISO at BlackBerry, and Ismael Valenzuela, Vice President of Threat Research & Intelligence at BlackBerry. They address how AI is changing the threat landscape, why human defenders remain a key part of our cyber defenses, and the explain the AI standoff between cyb…

1
Predicting the Future from the Past: Sequential RNN Stuff 9:47

15d ago9:47

9:47

This text is an excerpt from the "Dive into Deep Learning" book, specifically focusing on the processing of sequential data. The authors introduce the challenges of working with data that occurs in a specific order, like time series or text, and how these sequences cannot be treated as independent observations. They delve into autoregressive models…

1
An Agentic Mixture of Experts for DevOps with Sunil Mallya - #708 1:15:09

22d ago1:15:09

1:15:09

Today we're joined by Sunil Mallya, CTO and co-founder of Flip AI. We discuss Flip’s incident debugging system for DevOps, which was built using a custom mixture of experts (MoE) large language model (LLM) trained on a novel "CoMELT" observability dataset which combines traditional MELT data—metrics, events, logs, and traces—with code to efficientl…

1
Google's Secrets to Getting People to Adopt A.I. 8:39

16d ago8:39

8:39

This excerpt from "Mental Models," a chapter in the "People + AI Guidebook," focuses on the importance of understanding and managing user mental models when designing AI-powered products. The authors discuss how to set expectations for adaptation, onboard users in stages, plan for co-learning, and account for user expectations of human-like interac…

1
Insights from OpenAI's AMA: The Next Breakthrough in AI 17:04

24d ago17:04

17:04

In a recent AMA, OpenAI executives discussed the future of AI, focusing on advancements in models, the introduction of AI agents, and the importance of cost reduction for accessibility. They highlighted the ongoing development of various AI tools, including Sora and image models, while addressing challenges posed by regulations and compute limitati…

1
OpenAI Launches "ChatGPT Search" Competing with Google / Perplexity 9:29

25d ago9:29

9:29

In this episode, we explore OpenAI's new SearchGPT model and its potential to challenge Google and Perplexity in the search engine landscape. We discuss the features and capabilities that set SearchGPT apart as OpenAI's latest innovation in AI-powered search. Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community: https://www…

1
LLM Tokenizers, from HFs LNP Course 12:23

19d ago12:23

12:23

This excerpt from Hugging Face's NLP course provides a comprehensive overview of tokenization techniques used in natural language processing. Tokenizers are essential tools for transforming raw text into numerical data that machine learning models can understand. The text explores various tokenization methods, including word-based, character-based,…

1
PyTorch vs Tensorflow: Who Wins in CNN? 11:49

26d ago11:49

11:49

This research paper examines the efficiency of two popular deep learning libraries, TensorFlow and PyTorch, in developing convolutional neural networks. The authors aim to determine if the choice of library impacts the overall performance of the system during training and design. They evaluate both libraries using six criteria: user-friendliness, a…

1
Google's 43 Rules for Machine Learning 9:28

20d ago9:28

9:28

This document provides a comprehensive set of rules for building and deploying machine learning systems, focusing on best practices gleaned from Google’s extensive experience. The document is divided into sections that cover the key stages of the machine learning process, including launching a product without ML, designing and implementing metrics,…

1
Do we Need the Mamba Mindset when LLMs Fail? MoE Mamba and SSMs 11:57

21d ago11:57

11:57

The research paper "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" explores a novel approach to language modeling by combining State Space Models (SSMs), which offer linear-time inference and strong performance in long-context tasks, with Mixture of Experts (MoE), a technique that scales model parameters while minimizing…

1
Read AI Raises $50M to Take Over Your Communications 12:51

27d ago12:51

12:51

Read AI Raises $50M to Take Over Your Communications My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community: https://www.skool.com/aihustle/about

1
LinkedIn Launches AI Agent for Recruiting 10:00

27d ago10:00

10:00

LinkedIn Launches AI Agent for Recruiting on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community: https://www.skool.com/aihustle/about

1
The path towards trustworthy AI 51:46

22d ago51:46

51:46

Elham Tabassi, the Chief AI Advisor at the U.S. National Institute of Standards & Technology (NIST), joins Chris for an enlightening discussion about the path towards trustworthy AI. Together they explore NIST’s ‘AI Risk Management Framework’ (AI RMF) within the context of the White House’s ‘Executive Order on the Safe, Secure, and Trustworthy Deve…

1
Agentic Retrieval Augmented Generation (RAG) systems 7:39

22d ago7:39

7:39

We discuss how to build Agentic Retrieval Augmented Generation (RAG) systems, which use AI agents to retrieve information from various sources to answer user queries. The author details the challenges he faced when building an Agentic RAG system to answer customer support questions, and provides insights into techniques like prompt engineering and …

1
Let's Get Activated! Why Non-Linear Activation Matters 7:15

22d ago7:15

7:15

Let's get RE(a)L, U! This research paper explores the impact of different activation functions, specifically ReLU and L-ReLU, on the performance of deep learning models. The authors investigate how the choice of activation function, along with factors like the number of parameters and the shape of the model architecture, influence model accuracy ac…

1
Building AI Voice Agents with Scott Stephenson - #707 1:01:44

29d ago1:01:44

1:01:44

Today, we're joined by Scott Stephenson, co-founder and CEO of Deepgram to discuss voice AI agents. We explore the importance of perception, understanding, and interaction and how these key components work together in building intelligent AI voice agents. We discuss the role of multimodal LLMs as well as speech-to-text and text-to-speech models in …

1
Reviewing Stanford on Linear Regression and Gradient Descent 8:25

26d ago8:25

8:25

This lecture from Stanford University's CS229 course, "Machine Learning," focuses on the theory and practice of linear regression and gradient descent, two fundamental machine learning algorithms. The lecture begins by motivating linear regression as a simple supervised learning algorithm for regression problems where the goal is to predict a conti…

1
Where'd My Gradient Go? It Vanished! 8:39

27d ago8:39

8:39

This video discusses the vanishing gradient problem, a significant challenge in training deep neural networks. The speaker explains how, as a neural network becomes deeper, gradients—measures of how changes in network parameters affect the loss function—can decrease exponentially, leading to a situation where early layers of the network are effecti…

1
Automating Scientific Discovery: ScienceAgentBench 7:38

27d ago7:38

7:38

A scientific paper exploring the development and evaluation of language agents for automating data-driven scientific discovery. The authors introduce a new benchmark called ScienceAgentBench, which consists of 102 diverse tasks extracted from peer-reviewed publications across four disciplines: Bioinformatics, Computational Chemistry, Geographical I…

1
Big data is dead, analytics is alive 50:21

1M ago50:21

50:21

We are on the other side of “big data” hype, but what is the future of analytics and how does AI fit in? Till and Adithya from MotherDuck join us to discuss why DuckDB is taking the analytics and AI world by storm. We dive into what makes DuckDB, a free, in-process SQL OLAP database management system, unique including its ability to execute lightin…

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Runway Has AI Video Breakthrough "Act One" for Face Rigging 6:55

1M ago6:55

6:55

In this episode, we discuss Runway's new AI tool, "Act One," which simplifies face rigging for creators. We explore how this technology is set to streamline the animation process in video production. Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community: https://www.skool.com/aihustle/about…

1
How to Speed up Deep Learning with GPUs 4:13

28d ago4:13

4:13

We discuss how to utilize the processing power of Graphics Processing Units (GPUs) to speed up deep learning calculations, particularly in the context of training neural networks. It outlines how to assign data to different GPUs to minimize data transfer times, a crucial aspect of performance optimization. The text highlights the importance of unde…

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Accidents, Traffic, and Efficiency: AI for Transportation and Logistics 15:15

28d ago15:15

15:15

This paper provides a comprehensive overview of deep generative models (DGMs) and their applications within transportation research. It begins by outlining the fundamental principles and concepts of DGMs, focusing on various model types such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Normalizing Flows, and Diffusion…

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AI is Watching Me on CCTV! But I Guess I'm Safer... 9:32

1M ago9:32

9:32

This research paper presents the development and evaluation of an AI-driven Smart Video Solution (SVS) designed to enhance community safety. The SVS utilizes existing CCTV infrastructure and leverages recent advancements in AI for anomaly detection, leveraging pose-based data to ensure privacy. The system provides real-time alerts to stakeholders t…

1
Claude AI Can Now Control Your Computer for Tasks 9:49

1M ago9:49

9:49

In this episode, we explore Claude AI's new ability to control your computer to perform tasks on your behalf. We discuss the implications and potential use cases of this powerful feature. Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Community: https://www.skool.com/aihustle/about…

1
Mathematics for Machine Learning: An Overview 16:56

1M ago16:56

16:56

The book titled "Mathematics for Machine Learning" explains various mathematical concepts that are essential for understanding machine learning algorithms, including linear algebra, analytic geometry, vector calculus, and probability. It also discusses topics such as model selection, parameter estimation, dimensionality reduction, and classificatio…

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AI Startups Raise $3.9B in Q3 2024 15:15

1M ago15:15

15:15

In this episode, we discuss the significant investments in generative AI startups, which reached $3.9 billion in the third quarter of 2024. We explore the factors driving this surge in funding and what it means for the future of AI innovation. My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Jo…

1
Deep Convolutional Neural Networks (D-CNNs) for Breast Cancer Detection 7:27

1M ago7:27

7:27

Here we discuss three different papers (see links below) on using D-CNNs to detect breast cancer. The first source details the development and evaluation of HIPPO, a novel explainable AI method that enhances the interpretability and trustworthiness of ABMIL models in computational pathology. HIPPO aims to address the challenges of opaque decision-m…

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Is Artificial Superintelligence Imminent? with Tim Rocktäschel - #706 55:52

1M ago55:52

55:52

Today, we're joined by Tim Rocktäschel, senior staff research scientist at Google DeepMind, professor of Artificial Intelligence at University College London, and author of the recently published popular science book, “Artificial Intelligence: 10 Things You Should Know.” We dig into the attainability of artificial superintelligence and the path to …

1
AI and Methods for Enhancing Human Intelligence, from LessWrong 21:25

1M ago21:25

21:25

This LessWrong post explores various methods to enhance human intelligence, aiming to create individuals with significantly higher cognitive abilities than the current population. The author, TsviBT, proposes numerous approaches ranging from gene editing to brain-computer interfaces and brain emulation, discussing their potential benefits and drawb…

1
A Five-Step Roadmap for Machine Learning Engineer Careers 22:15

1M ago22:15

22:15

The first source is a blog post by Max Mynter, a machine learning engineer, outlining a five-to-seven step roadmap for becoming a machine learning engineer. The post emphasizes the importance of both software engineering and data science skills alongside mathematics and domain knowledge. It then offers concrete resources, including courses and book…

1
AI Box Update: Legal Drama, Development Progress, Launch Dates 24:55

1M ago24:55

24:55

In this episode, we discuss the latest legal issues AI Box is facing, along with the progress being made on their platform. We also cover their updated launch timeline and what users can expect going forward. AI Box Update YouTube Video: https://youtu.be/kB6c7VMeR5Q Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠…

1
Generalization in Classification 10:19

1M ago10:19

10:19

We discusses the importance of generalization in classification, where the goal is to train a model that can accurately predict labels for previously unseen data. The text first explores the role of test sets in evaluating model performance, emphasizing the need to use them sparingly and cautiously to avoid overfitting. It then introduces the conce…

1
Google’s NotebookLM Launches New Features for AI Podcasts 12:03

1M ago12:03

12:03

In this episode, we discuss Google’s recent update to NotebookLM, enhancing its audio summarization feature with the ability to guide conversations and focus on specific topics. We also explore how this feature has driven a significant increase in user traffic and engagement. Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle Commu…

1
Scottish AI: Laughter Detection in Machine Learning 5:49

1M ago5:49

5:49

Recognizing laughter in audio is actually a very difficult ML problem, filled with failure. Much like most comedians' jokes. Let's hope some good stuff survives. This is a review of a student's final year project for a University of Edinburgh computer science course. The project focused on creating a machine learning model to detect laughter in vid…

1
Mistral Drops New AI Models for Laptops and Phones "Les Ministraux" 10:01

1M ago10:01

10:01

AI startup Mistral has launched its newest AI models, "Les Ministraux," designed to run on edge devices like laptops and phones. The two available versions, Ministral 3B and Ministral 8B, have a 128,000-token context window, capable of processing the equivalent of a 50-page book. Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Join my AI Hustle C…

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