Crawleo blog

Tutorials, guides & updates

The latest on web scraping, API development, and AI-powered search - from the Crawleo team.

The Best Local LLMs for 16GB RAM

Sixteen gigabytes of memory is the current sweet spot for developers exploring local large language models. With this capacity, you can efficiently run 7B to 14B parameter models using modern quantization techniques—delivering near-cloud performance while keeping your data on-premise. Whether you're...

7 Mar 20263 min read

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General

How to Build LLM Training Datasets at Scale with Web Crawling

Training modern large language models requires massive, continuously updated datasets sourced from the open web. This guide explains how AI teams can build scalable, high quality LLM training datasets using web crawling, with practical architecture patterns and best practices.

#LLM training data#web crawling#AI datasets

9 Feb 20264 min read

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API Updates

How Bing SERP Features Improve LLM Accuracy, and Why Developers Should Use Them

Introduction Large Language Models often fail for a simple reason, they lack fresh, structured, and contextually rich data. Traditional web search APIs return lists of links, but modern AI systems require more than that. They need intent, context, and semantic signals. This is where Bing SERP featur...

#bing search api#serp features#llm accuracy

6 min read

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