All articles tagged with #gpt models
The article discusses the rapid advancements in AI language models, highlighting key leaps from GPT-3.5 to GPT-4 and beyond, emphasizing the importance of infrastructure, thresholds of usefulness, and the perception of progress. It explores how models have become more accurate, useful, and capable over time, while also addressing the challenges of predicting long-term progress and the impact of infrastructure and investment on AI development.
Microsoft is bringing OpenAI's language-producing models, including GPT-4 and GPT-3, to U.S. federal agencies using its Azure cloud service. This marks the first time Microsoft is bringing the GPT technology to Azure Government, which offers cloud solutions to U.S. government agencies, and the first such effort by a major company to make the chatbot technology available to governments. Government customers can adapt the language models for specific tasks including content generation, language-to-code translation, and summarization.
LinkedIn is introducing AI-powered writing suggestions for LinkedIn profiles and job descriptions, built on advanced GPT models. The company is also adding 20 more courses focused on generative AI to LinkedIn Learning. The AI-writing prompts for profiles are aimed at helping people who have trouble writing their own enticing overviews of who they are. The job descriptions will work on a similar principle, generating a suggested job description for recruiters to review and edit. While these tools aim to save time for users, they may also lead to less accurate representations of individuals and job roles.