Every developer has now pasted code into ChatGPT or watched GitHub Copilot autocomplete a function. If that’s your only exposure, it’s easy to conclude that coding with large language models (LLMs) ...

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In a highly anticipated announcement today, OpenAI released GPT-5, the company’s most recent state-of-the-art artificial intelligence model that outperforms previous models on intelligence benchmarks ...

GPT-4.1 represents a notable advancement in AI-driven coding, offering enhanced processing speeds, expanded token limits, and improved performance in handling complex tasks. These upgrades make it a ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now After years of hype and speculation, OpenAI ...

OpenAI's new GPT-5 flagship failed half of my programming tests. Previous OpenAI releases have had just about perfect results. Now that OpenAI has enabled fallbacks to other LLMs, there are options.

It is a well-known fact that different model families can use different tokenizers. However, there has been limited analysis on how the process of “tokenization” itself varies across these tokenizers.