#ai-optimization articles

BTBiz tech pulse hubbiztechpulsehub.hashnode.dev3d ago · 1 min read

How Faster AI Inference Improves Business Performance

Deploying an AI model is only part of the journey. If predictions are slow, expensive, or unable to scale under growing workloads, the business value of AI quickly declines. This is why inference opti

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LWLearn with HJblog.hardeepjethwani.comJul 11 · 6 min read

Model Distillation: Teaching a Smaller Model the Big Model's Tricks

🚀 Model Distillation: Teaching a Smaller Model the Big Model's Tricks 👋 Welcome to Day 69 of 90 Days of AI. 🎯 Today we are tackling Model Distillation: Teaching a Smaller Model the Big Model's Tri

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AKAnup Karanjkarwowhow.hashnode.devMay 2 · 6 min read

After Testing 847 AI Prompts, I Found the 6 Patterns That Actually Work (And Why Yours Don't)

I wasted an entire weekend arguing with an AI that kept giving me the same wrong answer in five different tones. Polite. Professional. Friendly. “Expert-level.” Same output. Different flavor. That weekend is what kicked off a slightly unhinged experi...

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AKAnup Karanjkarwowhow.hashnode.devMay 2 · 7 min read

What If the Best AI Strategy Is Using Less AI?

She stared at the Kanban board like it had personally betrayed her. Red cards. Yellow cards. A long, unbroken column labeled “AI-Handled” that was supposed to be empty by morning. It was 3:11 AM. The board was not empty. It was mocking her. Somewhere...

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AKAnup Karanjkarwowhow.hashnode.devMay 2 · 6 min read

Your AI Prompts Are Like a Dull Knife—Sharp Ones Cut Differently

9 prompt engineering techniques that turn blunt AI outputs into surgical tools. Copy‑paste ready. Most prompts fail for the same reason dull knives fail: no edge geometry. The data shows over 62% of AI outputs rated “mediocre” trace back to under‑spe...

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AKAnup Karanjkarwowhow.hashnode.devMay 2 · 10 min read

Google TurboQuant: 6x KV Cache Compression Changes AI Inference Economics

The key-value cache is the most expensive part of running a large language model — and until now, nobody had solved it without sacrificing accuracy. At ICLR 2026, Google Research published TurboQuant: a two-stage compression algorithm that reduces KV...

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FSFabio Sarmentosarmento.hashnode.devApr 27 · 3 min read

Effective Distillation Techniques for Hybrid xLSTM Architectures

Introduction In today's machine learning landscape, the focus on optimizing model performance while reducing resource consumption has never been more important. As large language models (LLMs) grow in complexity and size, the demand for efficient arc...

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OIOWT Indiaowtindia.hashnode.devApr 2 · 4 min read

What Should Be the Content Strategy for AIO

Content strategy is no longer about publishing consistently. It is about building a system that can be understood, trusted, and used by AI-driven search environments. As platforms like Google SGE, Cha

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AGAditya Guptaadiyogiarts.hashnode.devMar 28 · 4 min read

Benchmarking LLM Serving: vLLM, TensorRT-LLM & SGLang Performance

Originally published at adiyogiarts.com Benchmarking LLM Serving: vLLM, TensorRT-LLM & SGLang Performance Benchmarking Large Language Model (LLM) serving frameworks is paramount for efficient deployment. This article s into the performance character...

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AGAditya Guptaadiyogiarts.hashnode.devMar 28 · 5 min read

Small Language Models vs. Frontier: 3B Parameters Beat 70B

Originally published at adiyogiarts.com Small Language Models vs. Frontier: 3B Parameters Beat 70B The long-held belief that larger language models always perform better is now undergoing a critical re-evaluation. Surprisingly, new data reveals that...

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Explore Hashnode

How Faster AI Inference Improves Business Performance

Model Distillation: Teaching a Smaller Model the Big Model's Tricks

After Testing 847 AI Prompts, I Found the 6 Patterns That Actually Work (And Why Yours Don't)

What If the Best AI Strategy Is Using Less AI?

Your AI Prompts Are Like a Dull Knife—Sharp Ones Cut Differently

Google TurboQuant: 6x KV Cache Compression Changes AI Inference Economics

Effective Distillation Techniques for Hybrid xLSTM Architectures

What Should Be the Content Strategy for AIO

Benchmarking LLM Serving: vLLM, TensorRT-LLM & SGLang Performance

Small Language Models vs. Frontier: 3B Parameters Beat 70B

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#ai-optimization

Search Hashnode

#ai-optimization

Explore Hashnode

How Faster AI Inference Improves Business Performance

Model Distillation: Teaching a Smaller Model the Big Model's Tricks

After Testing 847 AI Prompts, I Found the 6 Patterns That Actually Work (And Why Yours Don't)

What If the Best AI Strategy Is Using Less AI?

Your AI Prompts Are Like a Dull Knife—Sharp Ones Cut Differently

Google TurboQuant: 6x KV Cache Compression Changes AI Inference Economics

Effective Distillation Techniques for Hybrid xLSTM Architectures

What Should Be the Content Strategy for AIO

Benchmarking LLM Serving: vLLM, TensorRT-LLM & SGLang Performance

Small Language Models vs. Frontier: 3B Parameters Beat 70B

Trending tags this week