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In this episode of Mad Tech Talk, we explore two groundbreaking advancements in the AI world: Meta's release of Llama 3.2, a multimodal large language model (LLM), and Microsoft's introduction of "Correction," a tool designed to fix factual inaccuracies in AI-generated text. We discuss the capabilities, innovations, and implications of these new technologies.
Key topics covered in this episode include:
Join us as we delve into the latest in multimodal AI and tools to improve factual accuracy, offering insights into how these innovations are shaping the future of artificial intelligence. Whether you're an AI researcher, developer, or tech enthusiast, this episode provides a comprehensive look at the cutting-edge of AI technology.
Tune in to explore Llama 3.2’s multimodal capabilities and the impact of Microsoft's Correction tool on AI reliability.
Sponsors of this Episode:
https://iVu.Ai - AI-Powered Conversational Search Engine
TAGLINE: Revolutionizing AI with Multimodal Capabilities and Open-Source Accessibility
In this episode of Mad Tech Talk, we explore two groundbreaking advancements in the AI world: Meta's release of Llama 3.2, a multimodal large language model (LLM), and Microsoft's introduction of "Correction," a tool designed to fix factual inaccuracies in AI-generated text. We discuss the capabilities, innovations, and implications of these new technologies.
Key topics covered in this episode include:
Join us as we delve into the latest in multimodal AI and tools to improve factual accuracy, offering insights into how these innovations are shaping the future of artificial intelligence. Whether you're an AI researcher, developer, or tech enthusiast, this episode provides a comprehensive look at the cutting-edge of AI technology.
Tune in to explore Llama 3.2’s multimodal capabilities and the impact of Microsoft's Correction tool on AI reliability.
Sponsors of this Episode:
https://iVu.Ai - AI-Powered Conversational Search Engine
TAGLINE: Revolutionizing AI with Multimodal Capabilities and Open-Source Accessibility