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 compares vector databases with traditional SQL and NoSQL databases. The focus is on highlighting the unique capabilities of vector databases in terms of scalability and retrieval of similar vectors based on semantic queries. The episode discusses the evolution of databases from relational to NoSQL ...
This podcast episode delves into the latest AI advancements, including the capabilities of large language models like Llama 2 and the innovative NERF (Neural Radiance Field) technology. It explores the potential applications of these technologies across various industries, including game development, real estate, e-com...
This podcast episode delves into various facets of AI technology, including generative AI, large language models, and their implications for copyright, creativity, and the legal landscape. Experts discuss challenges in regulating AI, the copyrightability of machine-generated content, and the impact of AI on creative in...
This podcast episode features Varun and Anshul, the co-founders of Codeium, an AI-powered toolkit designed for software development. They discuss the challenges faced by companies in leveraging GPUs for deep learning workloads, the evolution of generative AI, and the unique capabilities of Codeium. They also delve into...
This podcast episode explores the rapid proliferation of generative AI models, the implications for practitioners and businesses, and the ongoing shift towards open-source models. It covers topics such as the latest developments in image generation and language models, the challenges and opportunities of multi-step mul...
This podcast episode introduces Gabriel Ortiz and his journey adopting deep learning techniques into his work as a geospatial practitioner. Ortiz and other experts discuss the evolution of deep learning in geospatial data analysis, its practical applications in areas like urban planning and resource management, and the...
This podcast episode thoroughly explores the concepts of generative AI, machine learning, and their transformative impact on data and society. It begins with defining generative AI and contrasting it with traditional AI, emphasizing its unique ability to create new data. The discussion then dives into the inner working...
This podcast episode explores the fascinating realm of AI, from the practical applications of generative language models to the challenges and opportunities in evaluating large language models. It delves into the complexities of AI engineering, the journey of creating the Practical AI podcast, and the challenges faced ...
This podcast episode converses with Kate Bradley-Chernus, CEO of Lately.ai, discussing AI's evolving landscape, its impact on social media, and the role of Lately.ai in amplifying brand voices through AI-powered content generation. The discussion delves into the company's innovative features, the art of finding a brand...
This podcast episode delves into the growing impact of large language models and generative AI on various industries, discussing the challenges and opportunities of implementing these technologies, as well as potential conflicts of interest. It explores the importance of careful consideration and strategic planning to ...
This podcast episode delves into the fascinating world of LlamaIndex and explores how it connects LLMs with external data to enhance their capabilities, facilitating a deeper understanding of unstructured text and enabling more powerful applications. The discussion covers various aspects, including data ingestion, inde...
This podcast episode focuses on the theme of transparency, integrity, and responsibility in the development and application of AI technologies. It explores the use of reinforcement learning from human feedback to improve the performance of large generative models, the increasing role of context and domain expertise in ...
This podcast episode explores the practical applications, considerations, and challenges of using AI tools, particularly large language models (LLMs), in software development. The speakers emphasize the importance of starting simple, understanding the fundamentals of LLMs, and focusing on engineering rigor to successfu...
This podcast episode explores various optimization techniques for artificial intelligence models, encompassing topics such as model size reduction, performance enhancement, cost savings, and efficiency improvements. The experts delve into techniques like pruning, quantization, distillation, and sparse transfer, highlig...
This podcast episode dives deep into the concept of causal AI, delving into its principles and applications while emphasizing the significance of causal inference for decision-making, fairness, and robustness in AI systems.
This podcast episode explores the rapidly evolving landscape of data science and artificial intelligence (AI), emphasizing the need to reach and empower diverse audiences with powerful tools like large language models. It highlights the growing data science community on TikTok and other social media platforms, and disc...
This podcast episode delves into the fascinating convergence of art history, machine learning, and data science, exploring their practical applications and theoretical implications. It investigates the intersection of visual analysis, formal methods, and machine vision techniques in analyzing artworks and highlights th...
Christoph Hinkle, a multiple-time Kaggle Grandmaster, guides us through his journey from engaging in Kaggle competitions in his final months of PhD to becoming a Grandmaster and establishing a successful deep learning consultancy. Additionally, the potential of Kaggle competitions as a talent recruitment tool for data ...
This podcast episode explores the importance of explainability and accountability in AI systems, the journey of a data scientist who became interested in these concepts, the relationship between ontology, knowledge graphs, and conversational AI, conversational AI technology, the limitations of generative transformers, ...
This podcast episode delves into the evolution of search technology, from traditional algorithms to the current AI-driven neural search, exploring the seamless integration of AI into search and its potential to revolutionize various industries. We discuss You.com and YouChat as examples of AI-powered search and engagem...
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