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grep -l @gpt-4 /news/*.json | wc -l → 426

GPT-4

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// recent coverage 426 mentions

03:00
2026-06-15
dev.to
large-language-models

I Fixed LLM Formatting by Stopping the Prompt Obsession

A developer solved LLM formatting errors by separating content generation from formatting using a Jinja2 templating engine. Instead of prompting the LLM to output Markdown directly, the system now out…

12:00
2026-06-13
aisecurityandsafety.org
artificial-intelligence

OpenAI

OpenAI, an AI research and deployment company, focuses on ensuring artificial general intelligence benefits humanity through research on AI safety, alignment, and responsible deployment, developing mo…

03:50
2026-06-12
letsdatascience.com
large-language-models

Researchers evaluate LLMs on multilingual vaccine questions

Researchers released a multilingual vaccine benchmark called VaxEval containing 1,886 multiple-choice questions covering 14 vaccines in English, Spanish, and Chinese, drawing from sources including th…

20:55
2026-06-11
letsdatascience.com
large-language-models

Topic-Aware Models Summarize Lived Healthcare Stories

An arXiv preprint submitted 23 Oct 2025 evaluates a topic-aware, hierarchical summarization pipeline that applied Latent Dirichlet Allocation to 50 transcribed stories from African American storytelle…

11:00
2026-06-10
spectrum.ieee.org
artificial-intelligence

Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent

A research group at the University of Twente in the Netherlands has demonstrated a method to reduce energy consumption during large language model training by up to 14 percent without sacrificing spee…

01:01
2026-06-07
dev.to
large-language-models

Fixing JSON Output from GPT: A Pattern That Actually Works

A developer spent three days debugging malformed JSON output from GPT-4 before discovering that constrained decoding, rather than prompt engineering or post-generation parsing, reliably produces valid…

21:02
2026-06-04
dev.to
ai-tools

AI tool evaluation framework

A developer who ran 14 AI tools simultaneously last October, spending over $400 monthly while achieving less output than with just two tools, created a framework for evaluating AI tools based on menta…

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