Running large language models (LLMs) isn’t just expensive; it’s energy-hungry. While training gets most of the attention, it’s inference that dominates energy use. In contrast to training, which happens once or at intervals, inference runs continuously through every query, every user, every day. Recent estimates suggest that inference alone can...
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Fleet of Agents
Large Language Models (LLMs) have unlocked new possibilities in building powerful autonomous agents. These agents are more than just chatbots. They’re tackling reasoning-heavy tasks like solving math problems, playing complex games, navigating websites, and even using external tools. But as promising as these AI systems are, making them both smart...
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