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 latest advances in AI, while keeping one foot in the real world, then this is the show for you!
This podcast episode explores the reality of AI adoption in different companies, the evolution and maturing of data science and AI teams, early impressions of Apple Intelligence, criticism of Apple's reliance on open AI, challenges faced by large organizations when using third-party APIs, implications of using closed s...
This podcast episode explores the development of generative AI in the context of answering questions, discovering knowledge, and exploring topics. The conversation highlights the challenges of traditional search engines and the goal of obtaining true answers to questions. It discusses the journey of Perplexity, the ans...
This podcast episode explores the intersection of AI and privacy, focusing on the challenges faced by healthcare organizations in securing personal health information (PHI). It highlights the increasing number of data breaches and the significant consequences organizations face, including financial penalties and damage...
This podcast episode explores the concept of local offline AI and AI PCs, discussing the benefits and considerations of running AI models on various devices. The speakers highlight the ongoing revolution in hardware capabilities and the increasing accessibility of AI deployment. They emphasize the importance of factors...
This podcast episode explores the engagement of policymakers and individuals with artificial intelligence (AI) and machine learning (ML). It highlights the importance of government involvement in AI legislation, the challenges faced by individuals in learning AI and ML, and the potential of AI to address major societal...
This podcast episode explores the advancements and potential of AI-driven methodologies in different fields. It discusses the use of AI in protein exploration for drug discovery, the ethical concerns associated with AI in drug development, the enhanced features of the GPT-4.0 AI model, the impact of AI on privacy, the ...
This podcast episode explores the research and development efforts of Imbue, a company focused on creating robust coding agents through AI. The founders of Imbue are driven by their interest in AI, neuroscience, and cognitive reasoning, aiming to accelerate and automate tasks in the real world. The podcast discusses th...
This podcast episode explores the advancements in AI technology, specifically in the areas of autonomous systems, embedding AI in the physical world, regulations and testing of autonomous drones, and the Open Platform for Enterprise AI. It also discusses the rapid progress and implications of video generation technolog...
This podcast episode explores the creation and benefits of LibreChat, an open-source chat interface that allows users to interact with large language models (LLMs) in a privacy-conserving manner. The hosts discuss the need for open-source chat interfaces, highlighting issues with restricted access to existing platforms...
This podcast episode explores the potential of large language models (LLMs) in the enterprise market and the key factors for their success. The guest, Yoav, co-founder and co-CEO of AI21, discusses the integration of deep learning with symbolic AI techniques, emphasizing the importance of language as a window into huma...
This podcast episode explores the trends in artificial intelligence (AI) in 2024, focusing on the increasing prevalence of multi-modal AI models. The hosts discuss the expansion into models that can handle multiple modalities of data input and output, such as generating images, videos, and music from text prompts. They...
This podcast episode explores the evolution of generative AI workflows, the distinction between traditional machine learning (ML) and generative AI workloads, the debate between fine-tuning and retrieval augmented generation (RAG) models in AI, the trend towards a multi-model future in enterprise AI, the importance of ...
This podcast episode explores the future of coding education and software engineering in the age of AI. The speakers discuss Jensen Huang's comments on the obsolescence of coding education, emphasizing the importance of teaching kids the basics of coding. They also discuss the changing role of data scientists in genera...
This podcast episode explores the impact of AI on the software industry, specifically focusing on the Devon project. The hosts discuss the limitations and skepticism surrounding the capabilities of AI software engineers like Devon. They also highlight the current state of AI, its potential impact on the job market and ...
This podcast episode explores the concept of prompt engineering in the context of large language models (LLMs). Prompt engineering involves optimizing inputs and outputs for LLMs through techniques such as tweaking the prompt and using APIs. The episode discusses the challenges and opportunities presented by different ...
This podcast episode explores the convergence of art and technology through the journey of Runway, a company founded by artists and engineers. Runway's mission is to empower creators with tools that accelerate their ideas, fostering a symbiotic relationship between AI and human creativity. By bridging the gap between a...
This podcast episode discusses the latest advancements in computer vision and object detection, particularly the development of YOLOv9. The episode covers various aspects of YOLOv9, including its efficiency, parameter-efficient architecture, and applications in edge computing scenarios. It also delves into the broader ...
This podcast episode explores the frontiers of AI, including hackathons that encourage social good, techniques for controlling AI models' outputs, such as representation engineering and control vectors, and the potential for manipulating emotional responses in language models. It also introduces GPT Script, a natural l...
This podcast episode delves into the realm of AI in the national security context, exploring its challenges, lessons learned, and the future of human-machine teaming. Through insights from Jack Shanahan, a retired senior military officer, the episode sheds light on the origins of AI in the Department of Defense, the im...
This podcast episode delves into the implications and regulation of AI-generated voice clones and the latest developments in AI models. It explores Gemini, Google's multimodal AI model, and discusses its reception and capabilities. Additionally, it examines innovative workflows, such as multimodality, data analytics, a...
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