A guide to understanding the differences between Large Language Models (LLMs), Small Language Models (SLMs), and Frontier Models (FMs). Learn the unique strengths of each model type and see practical use cases for document classification, customer support, and incident response to help you choose the right model for your AI project.
Akshay Mittal discusses the evolution of enterprise AI, focusing on the crucial shift from reactive to predictive security through AI-augmented DevSecOps. He explores how to productionize agentic AI workflows using AIOps and Kubernetes, and emphasizes the non-negotiable need for explainable AI (XAI) in critical systems.
Learn how to design, build, and enhance real-time, multi-player applications within ChatGPT using the Apps SDK and Codex. This guide covers the core architecture, an AI-first development workflow, and best practices for creating valuable user experiences.
Mem0 is building a model-neutral, persistent memory layer for AI agents to solve the fundamental statelessness of LLMs. Co-founders Taranjeet Singh and Deshraj Yadav discuss their hybrid memory architecture, which reduces cost and latency compared to context stuffing, and their vision for a future where user memory is portable across all AI applications.
Experts discuss OpenAI's new ad model for ChatGPT, the breakout moment for agentic coding with Claude Code, IBM's "Enterprise in 2030" report on the shift from AI efficiency to innovation, and Hugging Face's new "Open Responses" standard for agent APIs.
![Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta]](https://img.youtube.com/vi/yq318DIwPqw/maxresdefault.jpg)
Professor Mazviita Chirimuuta discusses the philosophical underpinnings of neuroscience, challenging the brain-as-computer metaphor. She introduces 'haptic realism'—a view of knowledge as interactive and constructed—and argues for the inseparability of embodiment, finitude, and true understanding in both humans and AI.