Paco Nathan, a seasoned computer scientist and leader in knowledge graphs at Senzing.com, dives into the emerging world of Graph RAG in AI. He unpacks the vital role of entity resolution in fraud detection and how many valuable knowledge graph projects remain under the radar. Paco introduces his "graph thinking" approach, illustrated with a medieval village model, and emphasizes the need to embrace complexity via the Cynefin framework. Discover how knowledge graphs enhance our understanding of complex environments across diverse industries.

Paco Nathan, an AI expert since the 1980s, shares insights on using graphs in AI, structured content benefits, and the tech stack of AI tools. He discusses sequence-to-sequence and diffusion technologies, preferring SSM over LLMs. Nathan also talks about the impact of LLM chat agents on content, the importance of using personal data sets, and detailed task analysis in building AI models. He contrasts AI developments at big companies with the open-source AI ecosystem.

Paco Nathan, founder of Derwen, dives into the latest advancements in large language models, notably the launch of LAMA 3.1 with its groundbreaking 400 billion parameters. He discusses the daunting financial challenges faced by AI developers, emphasizing the competition between startups and tech giants. The conversation also covers cutting-edge research on neural operators, the shift towards custom AI solutions, and vulnerabilities in AI software supply chains. Additionally, listeners are introduced to innovative tools like the Relic library and insights into the cultural impact of technology.

Paco Nathan, Managing Partner at Derwen, Inc., talks about key findings from conferences, commonalities among teams with ROI on ML in production, leveraging existing resources and domain expertise in AI, the importance of software engineering and ops in AI, and the need to regulate AGI and implement universal basic income.

In this insightful conversation, Paco Nathan, founder of Derwen and an expert in Data and AI, explores groundbreaking innovations from the Ray Summit, focusing on Ray Compiled Graphs for GPU efficiency. He dives into the complexities of AI regulation and the implications of recent legislative actions in California. The dialogue also highlights the integration of structured and unstructured data, the significance of user annotations, and the competitive dynamics within AI, including the advances of the Llama 3.2 model and its multimodal capabilities.

Paco Nathan, founder of Derwen, discusses the latest in generative AI technology. Topics include Entronfic's Sonnet 3.5 release, managing risks in AI advancements, enhancing RAG models with graphs, accelerating protein evolution, weather model advancements, AI's role in mathematics, and shady AI practices with summer book recommendations.

Paco Nathan, Founder of Derwen, discusses updates on large language models and advancements in efficiency and scalability. Topics include Constraint-Driven Innovation, GTC 2024 highlights, and lessons from AI workload security exploits. Exciting discussions on model improvements, generative AI tools, and the importance of data engineering for AI safety.

Paco Nathan, Founder of Derwen, talks about Llama 3 advancements, open foundation models, evolving AI agents, and the importance of data engineering. They discuss the limitations of leaderboards in evaluating AI models and touch upon the ethical implications of AI development.

Paco Nathan, founder of Derwen, discusses SB 1047 for regulating AI, GraphRAG techniques, and AI avatars in the workplace. Topics include potential unintended consequences of AI regulation, limitations of integrating symbolic and statistical AI, challenges of AI avatars attending meetings, and advancements in graph analytics and machine learning.

Paco Nathan, a principal developer relations engineer at Sensing and founder of the boutique consultancy Derwen, dives into the latest advancements in AI. He discusses BAML, a user-friendly language for AI applications, and Boundary ML's Prompt Fiddle tool for simplifying model experimentation. The conversation also covers AI innovations in biotech, including how major firms are revolutionizing drug development, and the integration of drones in entertainment. Finally, they touch on the significance of cultural insights from Isabel Wilkerson's work and resources like the AI Incident Database.