opacc1ty added to PyPI

OpenAI's introduction of opacc1ty to PyPI, featuring 2-bit quantization with fused Metal dequant kernels for Apple Silicon, promises to deliver up to 8× faster local LLM inference. This development is particularly significant for website owners who rely on large language models (LLMs) for content generation, chatbots, or other AI-driven applications. With the potential for substantially faster inference times, website owners can expect improved performance, reduced latency, and enhanced overall user experience. This can be especially beneficial for sites with high volumes of AI-driven traffic, as faster processing can lead to better engagement and conversion rates. To capitalize on this advancement, website owners can take several actionable steps: monitor AI bot traffic to identify areas where opacc1ty integration can bring the most value, review and update their llms.txt files to ensure compatibility with the latest LLM inference technologies, and explore optimizing their content generation pipelines to leverage the speed gains offered by opacc1ty's 2-bit quantization and fused Metal dequant kernels.