NVIDIA has released a new 8 billion parameter language model called Mistral-NeMo-Minitron-8B, which demonstrates exceptional performance across various natural language processing tasks and is more efficient than training from scratch. Microsoft's Phi-3.5 models have also been released, showcasing independent AI development capabilities with open-source licensing. The UniBench framework provides a comprehensive evaluation framework for vision-language models (VLMs), addressing the fragmented landscape of VLM benchmarks. FiftyOne has updated to version 0.25.0, featuring new features such as Python Panels and Custom Dashboards. Eugene Yan has released a blog post discussing LLM-evaluators and their potential in evaluating the quality of responses generated by large language models. The "AI Scientist" system has been developed for fully automated scientific discovery using foundation models like large language models, automating the entire research process from generating ideas to writing papers and conducting peer reviews.