Generative AI and large language models dominated enterprise trends this year, with companies like Amdocs, Dropbox, and SAP building customized applications using RAG and LLMs. Open-source pretrained models are set to revolutionize businesses' operational strategies, while off-the-shelf AI and microservices make it easier for developers to create complex applications.
Data projects often fail to deliver real-life impact due to macro-elements such as data availability, skillset, timeframe, organizational readiness, and political environment. The availability and accessibility of relevant data are fundamental, and if data is unattainable, the feasibility of the project should be reconsidered.
MLOps is essential for integrating machine learning models into existing systems, and Amazon SageMaker offers features like Pipelines and Model Registry to simplify the process. This article provides a step-by-step implementation for creating custom project templates that integrate with GitHub and GitHub Actions, allowing for efficient collaboration and deployment of ML models.
NVIDIA celebrates milestone with 500 RTX games and applications, revolutionizing gaming graphics and performance. Ray tracing and DLSS technologies have transformed visual fidelity and boosted performance in titles like Cyberpunk 2077 and Minecraft RTX.
Tesla releases demo video of its Optimus Gen 2 humanoid robot, showcasing significant hardware improvements. Skepticism remains after recent AI demonstration controversies.