XR Blocks: Accelerating AI + XR innovation
Generative AI
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Instruction Tuning for Large Language Models
The mannequin is uncovered to numerous examples of directions, starting from easy queries to complicated multi-step duties. This helps the mannequin be taught to interpret and execute directions precisely, making it extra usable and adaptable. To strengthen LLMs’ capacity to understand and act on directions, instruction tuning datasets from LLM information firms like Cogito Tech…
Data Labeling for LLMs: The Key to Safer and More Effective AI Models
However, despite their impressive human-like intelligence, they are far from infallible, often producing incorrect, misleading, or even harmful outputs. This necessitates human oversight to ensure their safety and reliability. This article explores the role of data labeling for LLMs and how it bridges the gap between the potential of Gen AI models and their reliability…
Rethinking AI power efficiency with Vishal Sarin from Sagence AI
At the Generative AI Summit Silicon Valley 2025, Vishal Sarin, Founder, President & CEO of Sagence AI, sat down with Tim Mitchell, Business Line Lead, Technology at the AI Accelerator Institute, to explore one of the most urgent challenges in generative AI: its staggering power demands. In this interview, Vishal shares insights from his talk…
