Practical AI
Practical AI LLC
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!
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!
Episodes
Mentioned books
111 snips
Sep 6, 2023 • 58min
Fine-tuning vs RAG
Demetrios Brinkmann, an active voice in the MLOps community, dives into the intricacies of fine-tuning versus retrieval-augmented generation. He outlines findings from the LLM survey, sharing insights on generative AI applications and the challenges of model evaluation. The discussion highlights the need for simplicity in AI implementation and the varying adoption strategies of startups versus large organizations. Demetrios also emphasizes the importance of community engagement and diversity in tech events, making a compelling case for collaboration in MLOps.
26 snips
Aug 29, 2023 • 45min
Automating code optimization with LLMs
In this discussion, Mike Basios, CTO and co-founder of TurinTech AI, dives into the fascinating world of AI-driven code optimization. He shares how large language models can transform slow code into high-performance solutions through innovative 'translation' techniques. Mike highlights the evolution of code generation tools and their impact on developer workflows, emphasizing the importance of fine-tuning these models. He also addresses ethical concerns in optimizing code with AI, paving the way for a future where developer tools are more efficient and collaborative.
67 snips
Aug 23, 2023 • 45min
The new AI app stack
Dive into the fascinating world of AI as experts discuss the evolving architecture of AI applications. Discover the significance of model middleware, orchestration, and caching for optimizing performance. Explore the challenges posed by advanced bots to traditional CAPTCHA systems and how vector databases are revolutionizing data retrieval. Learn about interactive 'playgrounds' that make experimenting with AI accessible to everyone, and uncover the essential layers that make up the generative AI stack for seamless integration.
Aug 9, 2023 • 42min
Blueprint for an AI Bill of Rights
The hosts dive into the release of Stability AI's SDXL 1.0, exploring its innovative features. They discuss the evolving regulatory landscape for AI, particularly the U.S. and EU's attempts at governance. The conversation reflects on the implications of AI-generated content and copyright challenges. Breakthroughs in room-temperature superconductors spark debates about their potential impact on electronics. With humor, they tackle the complexities of ensuring safe and fair AI systems while navigating new policies.
249 snips
Aug 1, 2023 • 51min
Vector databases (beyond the hype)
Prashanth Rao, a Senior AI and data engineer at the Royal Bank of Canada, shares his hands-on experience with vector databases. He breaks down the evolution of data management from SQL to NoSQL while highlighting the efficiency of vector representations. The conversation delves into integrating transformer models for advanced search capabilities and discusses the maturity and trade-offs of current database options. Prashanth also explores future trends in disk-based vector databases, emphasizing their potential to revolutionize information retrieval.
6 snips
Jul 25, 2023 • 48min
There's a new Llama in town
This week, the discussion showcases groundbreaking advancements like Zip-NeRF, which crafts stunning 3D scenes from 2D images. The hosts dive into Meta's Llama 2, exploring its potential to shake up the LLM landscape and examining its roles in creativity and industry. Insights on comparing Claude 2 and OpenAI’s models reveal unique data processing workflows. Additionally, the conversation emphasizes the importance of using multiple AI models to enhance productivity and creativity across various applications.
9 snips
Jul 18, 2023 • 43min
Legal consequences of generated content
Damien Riehl, a lawyer and technologist known for generating every possible musical melody, shares his insights on the legal implications of AI-generated content. He discusses the challenges of copyright law in the age of generative AI and the tension between human creativity and machine output. The conversation highlights the evolving landscape for knowledge workers and how legal professionals must adapt to these rapid changes. Riehl emphasizes the importance of understanding dataset usage and the future of intellectual property.
Jul 12, 2023 • 42min
A developer's toolkit for SOTA AI
Varun Mohan and Anshul Ramachandran from Codeium dive into the exciting world of generative AI and large language models. They discuss the journey from traditional machine learning to creating a free toolkit designed specifically for developers. Key insights include navigating GPU challenges in AI development, the evolution of coding tools, and the importance of community feedback in building user-centric solutions. They also explore how these innovations can optimize coding workflows and enhance productivity while maintaining trust and safety in AI technologies.
31 snips
Jul 6, 2023 • 42min
Cambrian explosion of generative models
The hosts dive into the explosive growth of generative models like Stable Diffusion XL and OpenChat. They discuss the transition from proprietary systems to open source, highlighting potential shifts in business strategies. Concerns arise about cybersecurity and cultural impacts amid this tech wave. They also explore accessibility challenges and the need for ethical frameworks in AI development. Overall, it’s a captivating blend of innovation, humor, and caution as they navigate the future of AI.
Jun 28, 2023 • 45min
Automated cartography using AI
Gabriel Ortiz, Principal Geospatial Information Officer in Cantabria, Spain, discusses revolutionary applications of AI in geospatial analysis. He shares insights on automating cartography, how deep learning enhances aerial surveys, and the innovative use of technologies like LiDAR for environmental monitoring. Gabriel highlights AI's role in identifying invasive species and crowd management at beaches. His vision for the future blends human expertise with AI to overcome traditional cartography challenges, envisioning an exciting horizon for GIS professionals.
