Prompt engineering is a powerful technique for unlocking the potential of large language models (LLMs) and vision-language models (VLMs) by providing them with specific instructions or prompts, without altering their core parameters. This allows LLMs to excel in diverse tasks and domains without extensive retraining. READ ARTICLE
Researchers from Microsoft and Peking University are developing a training environment called AndroidArena to study how large language models like GPT-4 can interact with and control operating systems autonomously. READ ARTICLE
FlexOS surveyed over 200 AI tools and analyzed traffic data to reveal the 150 most used AI platforms globally. ChatGPT is by far the leader, taking over 50% of usage, while tools like Grammarly, Brainly, Character.AI and Midjourney also have millions of users each month. ChatGPT has over 50% market…
The U.S. National Science Foundation and collaborating government agencies have launched a National AI Research Resource (NAIRR) pilot program to provide researchers and educators with access to computing resources, data, models, software, training, and support to power AI innovation and research. READ MORE