Hosted by Yogendra Miraje · 🇺🇸 US · EN-US · 16 episodes
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AI blindspot is a podcast that explores the uncharted territories of AI by focusing on its cutting-edge research and frontiers This podcast is for researchers, developers, curious minds, and anyone fascinated by the quest to close the gap between human intelligence and machines. As AI is advancing at Godspeed, it has become increasingly difficult to keep up with the progress. This is a human-in-loop AI-hosted podcast.
Yogendra Miraje hosts AI Blindspot, a technology show with 16 episodes published.
This episode covers AIE World's Fair Recap of Day 2 focusing on Keynotes & SWE Agents. 🧠 Key Takeaways: Moore’s Law for AI Agents: Capability is doubling every 70 days—yes, you read that right.Specifications = “New Code
This episode covers the AI Engineer World's Fair 2025, the largest and most impactful edition yet. With over 3,000 attendees and 250+ speakers from around the globe, the event brought together leading voices in AI to exp
Aentic workflows are processes where AI agents dynamically plan, execute, and reflect on steps to achieve a goal, differentiating them from static, predefined workflows. Augmented LLMs, which serve as a base building blo
In this episode, we discuss strategies for building effective AI agents, emphasizing simplicity and composable patterns over complex frameworks. It distinguishes between workflows, which use predefined code paths, and ag
DeepSeek-V3, is a open-weights large language model. DeepSeek-V3's key features include its remarkably low development cost, achieved through innovative techniques like inference-time computing and an auxiliary-loss-free
In today's episode, we are discussing two research papers describing the two distinct approaches to building multi-agent collaboration : MetaGPT is a meta-programming framework using SOPs and defined roles for software d
This episode discusses agentic design pattern Tool Use. Tool use is essential for enhancing the capabilities of LLMs and allowing them to interact effectively with the real world. We discuss following papers. Gorilla: La
This episode discussed AI agentic design pattern "Reflection"📝 𝗦𝗘𝗟𝗙-𝗥𝗘𝗙𝗜𝗡𝗘 SELF-REFINE is an approach where the LLM generates an initial output, then iteratively reviews and refines it, providing feedback on i
In this episode, we discuss following agent architectures:ReAct (Reason + Act): A method that alternates reasoning and actions, creating a powerful feedback loop for decision-making.Plan and Execute: Breaks down tasks in
🤖 AI Agents Uncovered! 🤖In our latest episode, we're diving deep into the fascinating world of AI agents, focusing specifically on agents powered by Large Language Models (LLMs). These agents are shaping how AI systems
Dario Amodei's essay, "Machines of Loving Grace," envisions the upside of AI if everything goes right. Could we be on the verge of an AI utopia where technology radically improves the world? Let's find out! 🌍✨𝗪𝗵𝘆 𝗱�
💡 𝗡𝗼𝗯𝗲𝗹 𝗣𝗿𝗶𝘇𝗲𝘀 - 𝗔𝗜 𝗛𝘆𝗽𝗲 𝗼𝗿 𝗴𝗹𝗶𝗺𝗽𝘀𝗲 𝗶𝗻𝘁𝗼 𝗦𝗶𝗻𝗴𝘂𝗹𝗮𝗿𝗶𝘁𝘆? 💡One of the biggest moments from this year's Nobel announcements was AI's double win!𝗡𝗼𝗯𝗲𝗹 𝗶𝗻 𝗣𝗵𝘆𝘀𝗶𝗰𝘀Geoffrey
This episode covers Open AI Dev Day Updates and a 280-page research paper on o1 evaluation model. Realtime API: Build fast speech-to-speech experiences in applications.Vision Fine-Tuning: Fine-tune GPT-4 with images and
Large language models (LLMs) excel at various tasks due to their vast training datasets, but their knowledge can be static and lack domain-specific nuance. Researchers have explored methods like fine-tuning and retrieval
This episode explores how Google researchers are tackling the issue of "hallucinations" in Large Language Models (LLMs) by connecting them to Data Commons, a vast repository of publicly available statistical data.https:/
This episode discusses some of the most useful prompt engineering techniques and practical tips. Prompt engineering is a technique used to craft natural language prompts that effectively extract knowledge from large lang
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AI Blindspot is hosted by Yogendra Miraje. The show is categorised under technology and has published 16 episodes.
AI Blindspot has published 16 episodes.
AI Blindspot regularly covers technology. It sits in the technology category.
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