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28 articles
Learn how NVIDIA's new 4-bit pretraining method allows AI models to be trained more efficiently, using less memory and power while maintaining high accuracy.
Learn how Lighthouse Attention speeds up AI training on long inputs by selectively focusing on important information, without sacrificing accuracy.
BCG is training its AI sales agent, Jamie, on both successful and unsuccessful sales behaviors to build a more robust and adaptable system.
Learn how to use AutoScientist, an AI tool that automates model fine-tuning for beginners. This tutorial walks you through setting up the environment, preparing data, and running automated training sessions.
ChatGPT's sudden goblin obsession highlights a deeper issue in AI training—how faulty reward signals can lead to unexpected and unintended behaviors.
Learn how Decoupled DiLoCo helps train powerful AI models more reliably by allowing computer chips to work independently, even when some fail.
Meta is installing a tool called Model Capability Initiative (MCI) on US-based employees' computers to collect data on work-related activities for AI training purposes.
Training a modern large language model involves a complex pipeline of pretraining, alignment, and deployment stages, each crucial for building reliable and ethical AI systems.
YouTube creators sue Amazon over alleged unauthorized scraping of videos to train Nova Reel, claiming violations of the DMCA.
Learn to build a MetaClaw-like framework that automatically schedules AI training sessions during your Google Calendar meetings, optimizing training efficiency by leveraging existing calendar data.
Learn how NVIDIA's ProRL Agent uses a new approach to train AI systems for complex, multi-turn conversations. This breakthrough could make AI assistants much more helpful for real-world tasks.
Learn how to set up a basic AI training environment using Python and common AI libraries, following the practices used by companies like Deccan AI.
