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The Startup That Failed But Changed My Life: Lessons From Building With AI
When I first started building my AI startup, I thought I was chasing a product. But what I didn’t realize then — I was really chasing myself. For months, I poured everything into an idea I believed co...
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Training LLMs with 1-Bit Weights: From Theory to Reality
Large language models have a problem. They’re incredibly powerful, but they’re also massive energy hogs that require expensive hardware to run. A typical LLM stores its parameters in 16-bit or 32-bit ...
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How to Analyze and Optimize Your LLMs in 3 Steps
You have your LLM in production, actively responding to user queries. However, you now want to improve your model to handle a larger fraction of customer requests successfully. How do you approach thi...
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