Hosted by Ronald Soh · 🇺🇸 US · EN · 24 episodes
Established thought leaders with verified media credentials.
"AI Insiders" positions itself as the go-to podcast for deep, behind-the-scenes insights into the AI industry, offering listeners an insider's perspective on the technology, business, and future of artificial intelligence.TARGET AUDIENCE:- Tech professionals and developers- Business leaders and decision-makers- AI enthusiasts and students- Industry stakeholders- Tech-savvy general audience interested in AI's impactUNIQUE SELLING POINTS:- Expert Access: Featuring interviews with AI researchers, tech leaders, and industry pioneers- Behind-the-Scenes: Exclusive insights into AI companies and breakthrough developments- Real-world Applications: Practical discussions about AI implementation across industries- Future Trends: Analysis of emerging technologies and market directionsPOTENTIAL SEGMENTS:"The Inside Scoop" - Breaking news and industry updates"Tech Deep Dive" - Technical explanations of new AI developments"Startup Spotlight" - Featuring promising AI startups"AI Ethics
Ronald Soh hosts AI Insiders, a technology show with 24 episodes published.
This paper addresses the challenges associated with adapting Large Language Models (LLMs) for various tasks within the e-commerce domain using prompting techniques. While prompting offers an efficient alternative to fine
This paper addresses a core challenge in aligning large language models (LLMs) with human preferences: the substantial data requirements and technical complexity of current state-of-the-art methods, particularly Reinforc
This paper critically examines the use of multiple-choice question (MCQ) benchmarks to assess the medical knowledge and reasoning capabilities of Large Language Models (LLMs). The central argument is that high performanc
This paper investigates the impact of Generative Artificial Intelligence (GAI), such as ChatGPT, Kimi, and Doubao, on students' learning across four grade levels (high school sophomores and juniors, university juniors an
This document summarises the key findings and insights from the NeurIPS 2023 Large Language Model (LLM) Efficiency Fine-tuning Competition. The competition aimed to democratise access to state-of-the-art LLMs by challeng
This briefing document reviews the main themes and important ideas presented in Krti Tallam's paper on Orchestrated Distributed Intelligence (ODI). The paper argues for a paradigm shift in the field of Agentic AI, moving
This briefing document reviews the main themes and important ideas presented in the research paper "MoonCast: High-Quality Zero-Shot Podcast Generation". The paper introduces MoonCast, a novel system designed to generate
This paper addresses the critical challenges of aligning superhuman artificial intelligence (AI) with human values, specifically focusing on scalable oversight and the dynamic nature of these values. The authors argue th
The paper concludes by highlighting the introduction of MASFT as a "structured framework for understanding and mitigating MAS failures" and the development of a "scalable LLM-as-a-judge evaluation pipeline" for diagnosin
This paper addresses the challenge of automating high-stakes meta-review generation, a critical task in academic peer review that involves synthesizing conflicting evaluations and deriving consensus. The authors argue th
This briefing document summarises the key findings and implications of the research paper "A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks" by Shakya et al. The study investigates the capabilities of two l
This paper presents components of an AI-assisted academic writing system focused on citation recommendation and introduction generation. The authors argue that scientific writing is a crucial but challenging skill, parti
This paper introduces a new metric, the "50%-task-completion time horizon," to quantify AI capabilities by relating AI performance on tasks to the typical time humans take to complete them. The study timed domain-expert
Imagine you're getting emails or messages on the internet. Some of these messages might be from people trying to trick you - like strangers offering candy. But now, there's something new happening: Smart Computers Making
Imagine you're trying to draw a picture, but instead of using crayons, you're using a special computer program. This program is called ComfyGI, and it's like having a super-smart art assistant! Here's what makes it speci
Imagine you're trying to decide how to spend or save your pocket money. Sometimes, the way someone tells you about something can change how you feel about it - just like how a boring vegetable might sound tastier if it's
Imagine we're talking about making sure robots and smart computers (AI) are good helpers for everyone in the world. Here's what smart people are thinking about: Making AI Be a Good Helper: Like when you build with LEGO,
Imagine we're talking about making sure robots (or AI) are good friends that we can trust. Scientists are trying to figure out how to teach these AI helpers to be honest, fair, and kind - just like how your parents and t
Imagine you have a super-smart computer friend called Hugging Face that helps you understand and work with words and languages. Here's what it can do: Cleaning Up Text: Just like how you clean up your room, Hugging Face
Imagine scientists are trying to create special computer friends (they call them "generative agents") that can act just like real people! Here's what they did: Making Computer Friends: The scientists talked to 1,000 real
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AI Insiders is hosted by Ronald Soh. The show is categorised under technology (business) and has published 24 episodes.
AI Insiders has published 24 episodes.
AI Insiders regularly covers technology, business. It sits in the technology category, with a business focus.
AI Insiders is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
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Episodes of AI Insiders average 19 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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