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Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the lates ...
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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
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AI Chat is the podcast where we dive into the world of ChatGPT, cutting-edge AI news and its impact on our daily lives. With in-depth discussions and interviews with leading experts in the field, we'll explore the latest advancements in language models, machine learning, and more. From its practical applications to its ethical considerations, AI Chat will keep you informed and entertained on the exciting developments in the world of AI. Tune in to stay ahead of the curve on the latest techno ...
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A4N — the Artificial Neural Network News Network — is a lighthearted podcast covering the latest developments in artificial intelligence, machine learning, and data science, in which we both introduce technical aspects of these advances, as well as their social implications. The intended audience is anyone interested in automation, A.I., or the future, with brief sections catering especially to professionals working in the fields of data science or software engineering.
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Imagine the ideal futuristic school! Students are highly engaged in dynamic, interdisciplinary projects, utilizing AI and emerging technologies to design, experiment and problem-solve in real world contexts. Traditional education, based in passively receiving and retaining information, has evolved into an exciting and active adventure that unleashes student learning into limitless possibilities! Site https://www.dainolsen.com/ Book https://amzn.to/3zwTnAg Blog https://bit.ly/4fSJCwj mediaart ...
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This podcast produced through Google's NotebookLM explains that media arts is deeply intertwined with all aspects of modern life, demanding a more critical and active engagement than passive consumption. Olsen defines media arts broadly as machine-based creative production, encompassing everything from flip books to AI-generated art, highlighting i…
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Daniel and Chris groove with Jeff Smith, Founder and CEO at CHRP.ai. Jeff describes how CHRP anonymously analyzes emotional wellness data, derived from employees’ music preferences, giving HR leaders actionable insights to improve productivity, retention, and overall morale. By monitoring key trends and identifying shifts in emotional health across…
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Today, we're joined by Dan Jeffries, founder and CEO of Kentauros AI to discuss the challenges currently faced by those developing advanced AI agents. We dig into how Dan defines agents and distinguishes them from other similar uses of LLM, explore various use cases for them, and dig into ways to create smarter agentic systems. Dan shared his “big …
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In this episode, Jaeden Schafer discusses Google's current position in the AI landscape, focusing on the significance of the Gemini project for the company's future. He highlights the urgency expressed by CEO Sundar Pichai regarding the need for rapid innovation and adaptation in the face of competition, particularly from emerging players like Perp…
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In this episode of the AI Chat Podcast, host Jaeden Schafer discusses Perplexity's recent $500 million funding round, its competitive position in the AI search market, and its acquisition of Carbon, a company that enhances AI search capabilities. The conversation highlights the growing competition between Perplexity, Google, and ChatGPT, and the im…
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In this episode of the AI Chat podcast, host Jaeden Schaefer discusses the controversies surrounding OpenAI, particularly focusing on Sam Altman's claims about his equity in the company. The conversation delves into Altman's testimony before Congress, the significant valuation growth of OpenAI, and the implications of its transition from a non-prof…
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The legendary Ashley Gross talks about different AI strategies she is helping companies employ to grow their businesses. Ashley on Linkedin: https://www.linkedin.com/in/theashleygross/ AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer My Podcast Course: https://podcaststudio.com/courses/ Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/…
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Bad news, Sora isn't cheap. But more important news we have an update on the quality! AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchafer 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…
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Today, Chris explores Shopify Magic and other AI offerings with Mike Tamir, Distinguished ML Engineer and Head of Machine Learning, and Matt Colyer, Director of Product Management for Sidekick. They talk about how Shopify uses generative AI and LLMs to enhance their products, and they take a deeper dive into Sidekick, a first-of-its-kind, AI-enable…
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Today, we're joined by Byron Cook, VP and distinguished scientist in the Automated Reasoning Group at AWS to dig into the underlying technology behind the newly announced Automated Reasoning Checks feature of Amazon Bedrock Guardrails. Automated Reasoning Checks uses mathematical proofs to help LLM users safeguard against hallucinations. We explore…
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xAI has now raised $12B and is closing the gap on OpenAI's $17.9B raised! 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
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OpenAI Sam Altman says he hopes Elon won't use his political influence to harm OpenAI. Also ChatGPT is crashing if you ask it to say "David Mayer" the name of a billionaire heir. My Podcast Course: ⁠⁠⁠⁠https://podcaststudio.com/courses/⁠⁠⁠⁠ Discount Code: BLACKFRIDAY Get on the AI Box Waitlist: ⁠⁠⁠⁠⁠⁠https://AIBox.ai/⁠⁠⁠⁠⁠⁠ Join my AI Hustle Commun…
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Kyutai, an open science research lab, made headlines over the summer when they released their real-time speech-to-speech AI assistant (beating OpenAI to market with their teased GPT-driven speech-to-speech functionality). Alex from Kyutai joins us in this episode to discuss the research lab, their recent Moshi models, and what might be coming next …
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Watch out! Amazon is coming in hot with 4 new chat models and lots more! 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
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Today, we're joined by Arash Behboodi, director of engineering at Qualcomm AI Research to discuss the papers and workshops Qualcomm will be presenting at this year’s NeurIPS conference. We dig into the challenges and opportunities presented by differentiable simulation in wireless systems, the sciences, and beyond. We also explore recent work that …
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Elon says "Grok 3.0 will be the most powerful A.l. in the world." will add all legal case data to model 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…
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Sure the NYT will be happy about the extra $$$ but this is also used to help get smaller blogs and journalists paid. 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…
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Google is in for some stiff competition as ElevenLabs the kings of AI Audio are coming for their viral AI tool. 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…
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Chris and Daniel dive into what Trump’s impending second term could mean for AI companies, model developers, and regulators, unpacking the potential shifts in policy and innovation. Next, they discuss the latest models, like Qwen, that blur the performance gap between open and closed systems. Finally, they explore new AI tools for meeting clones an…
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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: …
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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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…
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The combination of Media Arts Education (MAE) and AI provides a more holistic and engaging learning experience than traditional education (TE). MAE emphasizes embodied cognition, multimodal learning, and active, student-centered approaches to learning. The author asserts that MAE mirrors our societal digital nervous system and provides a platform f…
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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…
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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…
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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 …
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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…
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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…
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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…
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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…
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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…
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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…
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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,…
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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…
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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,…
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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…
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