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 centers around open-source AI development, particularly the creation of GPT-4xVicuna by Neuse Research. The collective's journey, motivation for open source research, and plans for the future are discussed. The episode also explores the use of synthetic data and distillation in language models, as ...
This podcast episode dives into the emergence of AI-powered personal devices and the growing trend of AI assistants. It explores the potential benefits and challenges associated with these devices, including concerns about privacy, data security, and the implications of having AI attached to various aspects of our live...
This podcast episode focuses on the evolving landscape of AI development, emphasizing the challenges, solutions, and best practices in using Large Language Models (LLMs) in industry. It explores the shift towards non-technical personnel actively involved in AI development, the challenges of deploying generative AI mode...
This podcast episode focuses on democratizing access to AI and ML for entrepreneurs and developers. It introduces the Intel Liftoff program and various hackathons, such as the Advent of Gen AI Hackathon and the Intel Developer Cloud Hackathon, which give participants the chance to learn, develop, and deploy AI solution...
This podcast episode explores the advancements, challenges, and predictions surrounding artificial intelligence (AI) in 2023 and offers insights into its expected developments in 2024. It emphasizes the significant role of generative AI, the commoditization of AI, and the need for human creativity to find new opportuni...
This podcast episode introduces LanceDB, a vector database for generative AI, and its features and benefits. It also discusses the reasons behind its development, its innovative architecture, and potential use cases across various industries.
This podcast episode delves into the captivating world of open source AI, exploring its evolving landscape, the challenges and opportunities it presents, and the ethical considerations and strategies surrounding its usage. Key themes discussed include the democratization of data models, the significance of fine-tuning ...
This podcast episode delves into the risks and challenges associated with deploying machine learning systems in welfare contexts, particularly focusing on predictive risk assessments. It highlights concerns about the potential for overhyping welfare fraud, the need for transparency and accountability in the development...
OpenAI's journey from its founding as a non-profit to its transition as a for-profit entity, showcases its evolving mission from guiding AI for humanity's benefit to developing commercial products. While its initial openness and focus on safety shifted towards faster releases, recent controversies have highlighted tens...
This podcast episode delves into Shopify's preparations for the upcoming Black Friday and Cyber Monday shopping season, the role of AI in improving the e-commerce experience for merchants, and how AI tools are revolutionizing the way merchants create product descriptions and generate product images.
This podcast episode delves into the complexities of AI, exploring its ethical implications, the need for transparency and accountability, and the challenges faced by data workers. The speakers discuss the importance of developing AI systems that are trustworthy, equitable, and beneficial to all members of society.
This podcast episode provides a comprehensive exploration of the U.S. government's executive orders on AI safety and regulation, examining their implications for AI developers, industry stakeholders, and society as a whole. It discusses the challenges and opportunities associated with these regulations, emphasizing the...
This podcast episode discusses how Tuin from base 10 simplifies deploying and managing AI models. The platform offers a variety of tools and features such as version management, auto scaling, logging, and hardware management, allowing developers to focus on building and refining their models, rather than managing the u...
This podcast episode provides a comprehensive introduction to the Rust programming language, exploring its origins, diverse applications, key features, and the Rust community. It discusses the benefits and challenges of using Rust for deep learning and introduces the Burn framework, highlighting its capabilities, user ...
This podcast episode delves into the impact of AI on software developers, emphasizing the need for adoption and adaptability while exploring the challenges and opportunities it presents. It highlights the importance of learning and incorporating AI into development practices, embracing change, and navigating ethical an...
This podcast episode explores the latest advancements in AI technology, focusing on AI-enabled applications for local machines, the emergence of AI PCs with powerful processors, and the significance of confidential computing for securing AI workloads. The discussion also delves into the rapidly changing landscape of AI...
This podcast episode focuses on AskUI, a company that uses AI to lower the barriers of UI automation and make it accessible to a wider range of users. It discusses how AI can be utilized to understand natural and visual information and how this technology can lead to revolutionizing the way we interact with technology,...
This podcast episode provides insights into the ML Ops Community and the evolution of Large Language Models (LLMs). It discusses the growth and activities of the ML Ops Community, emphasizing the shift from theoretical discussions to real-world implementations. The episode explores the use cases and limitations of LLMs...
This podcast episode explores the role of AI in code optimization and how it has transformed the software development process. Code optimization has traditionally been a manual and time-consuming task, but with the emergence of generative AI technology, automated code optimization is now possible. Turrent Tech AI is at...
This podcast episode discusses the ecosystem of generative AI and the various components that make up this ecosystem. The hosts explain that the model itself is not the sole deliverer of value to users, and there is a whole ecosystem of tooling surrounding generative AI. They introduce the emerging LLM app stack, which...
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