Tag: AI efficiency
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Chain-of-Draft Prompting: Think Fast, Write Less, and Get Results
In the ever-changing realm of prompt engineering, efficiency isn’t just a luxury—it’s a necessity. Traditional techniques like Standard and Chain-of-Thought (CoT) have undoubtedly done wonders, but they can be like writing an essay when a tweet would do. Enter Chain-of-Draft (CoD) prompting, a fresh approach inspired by how we naturally jot down only the essentials.…
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DeepSeek’s Disruption: The Financial Ripple in the AI Ecosystem
If recent headlines have left you questioning whether we’re witnessing the collapse of the AI sector, you’re not alone. The announcement of DeepSeek’s latest AI model sent shockwaves through global markets, causing Nvidia’s stock to plummet by an eye-watering 17% and wiping out half a trillion dollars in market value in a single day. But…
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AI’s Blind Spots: Confronting the Frame Problem
In the realm of artificial intelligence, one of the most perplexing challenges is known as the frame problem. Imagine AI as a driver navigating a bustling highway. This driver must constantly be aware of changes in the environment, such as the movement of other cars and changing traffic signals, while also understanding which aspects remain…
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The Power of AI Agents: Unleashing the Potential of Agentic Workflows
Artificial intelligence (AI) continues to evolve, and one of the most promising developments in this field is the concept of AI agents. These agents, often referred to as Agentic workflows, are revolutionizing how we approach tasks by enabling multiple specialized AI models to collaborate, iterate, and improve upon each other’s work. This article explores the…