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Hosted by Dan Sarmiento · 🇺🇸 US · EN · 90 episodes
Established thought leaders with verified media credentials.
This is the gold rush era of artificial intelligence. You want to learn quickly so you don't get left behind, but how can you learn about AI without an advanced degree in computer science and mathematics?You translate all the complicated concepts into plain language and you summarize the relevant news into a podcast you can listen to while you do everything else.This is the method that helped me speed up my learning and maybe it can help you too.
Dan Sarmiento hosts AI Intuition, a technology show with 90 episodes published.
An introduction to Microsoft Fabric data agents, which are conversational Q&A systems powered by generative AI that allow users to retrieve insights from governed OneLake data using natural language. It provides comprehe
cagent, Docker's open-source, multi-agent runtime designed to orchestrate autonomous AI systems by allowing users to build and manage teams of specialized AI agents. cagent uses a declarative YAML configuration for defin
Project NANDA, an initiative by the MIT Media Lab aimed at creating the foundational infrastructure for the "Open Agentic Web," an internet designed for autonomous AI agents rather than human users. This new architecture
examines the paradox of unprecedented investment in the artificial intelligence sector coexisting with an accelerating rate of startup failures. It identifies a failure rate exceeding 90% for AI startups, significantly h
Model Denial of Service (Model DoS) attacks, a modern evolution of traditional DoS that targets the computational resources of AI and Machine Learning systems, rather than network bandwidth. It explains how these attacks
analysis of training data poisoning, a critical integrity attack against AI and ML systems. It explains how adversaries corrupt the foundational learning phase by manipulating datasets, leading to altered model behavior,
analysis of Insecure Output Handling, a critical application security vulnerability distinct from insecure input handling, emphasizing the need to never trust data sent to an interpreter. It details the diverse and sever
analysis of prompt injection, which is identified as the leading security vulnerability in applications powered by Large Language Models (LLMs). It explains that this threat arises from the inherent architecture of LLMs,
This research systematically maps literature concerning the application of unsupervised machine learning approaches to test suite reduction (TSR), a critical process for optimizing software testing efficiency. The study,
analyze USO, a novel generative AI model developed by Bytedance's Intelligent Creation Lab. USO addresses the long-standing challenge of separately controlling style and subject in image generation by proposing a unified
overview of Supervised Fine-Tuning (SFT) for large language models, explaining it as a method to specialize pre-trained models for particular tasks by training them on curated, labeled datasets. It compares full fine-tun
NVIDIA's new Jet-Nemotron model family, which introduces a hybrid-architecture approach to Large Language Models (LLMs) to significantly improve efficiency without sacrificing accuracy. This innovation is primarily drive
Google's Gemini 2.5 Flash Image model, initially known by its codename "nano banana," highlighting its unconventional market entry through anonymous competitive testing on LMArena, which generated significant community-d
agentic AI, defining it as an autonomous problem-solving system capable of breaking down complex goals and utilizing tools independently. They explore multi-agent systems, emphasizing the collaborative nature of speciali
The AG2 framework, evolving from the AutoGen project, provides an open-source infrastructure for building complex AI applications by orchestrating multiple, conversing agents powered by Large Language Models (LLMs). Its
BeeAI ecosystem, an open-source initiative stemming from IBM Research and hosted by the Linux Foundation, designed to address the complexities of developing and deploying multi-agent AI systems. It distinguishes between
crewAI, a Python framework designed for orchestrating autonomous AI agents in production environments. It emphasizes crewAI's independent architecture, built for speed and efficiency, contrasting it with more abstract al
analysis of Tencent's Youtu-Agent, a flexible and high-performance framework for autonomous AI agents that prioritizes open-source LLMs to achieve state-of-the-art results on complex benchmarks. It details the framework'
overview of Pantheon-CLI, an advanced open-source computational framework developed by Stanford-affiliated scientist-engineers. It is presented as the initial release of PantheonOS, an "AgentOS that re-imagines Science,"
Google Gemini Command Line Interface (CLI), positioning it as a significant evolution in AI-assisted software development. It explains that the Gemini CLI is not merely a chatbot, but rather an open-source, locally-run A
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AI Intuition is hosted by Dan Sarmiento. The show is categorised under technology and has published 90 episodes.
AI Intuition has published 90 episodes.
AI Intuition regularly covers technology. It sits in the technology category.
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Episodes of AI Intuition average 56 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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