Speaker
Description
In this presentation, I will highlight the work being conducted at AIP, showcasing how the adoption and utilization of open-source LLMs such as Starcoder, Llama 3.1, and DeepSeek Coder on the Ollama server infrastructure have revolutionized the code development workflows for astronomers. These sophisticated models, integrated with popular IDEs like Visual Studio Code and Neovim, offer seamless real-time code suggestions and auto-completion features tailored specifically for astronomical research. Additionally, I will discuss the extension of these capabilities to the Colab.aip.de platform, where LLMs act as dynamic coding assistants, significantly expediting the coding and debugging process. This presentation will detail the technical advancements at AIP, demonstrating how these innovations enhance productivity and foster more efficient computational research, ultimately propelling the future of astronomical studies in the LLM era.
We will also be discussing a novel approach to data analysis by integrating Large Language Models (LLMs) with intelligent agents. This integration has the potential to accelerate the coding process by significantly reducing the time required for developing and debugging data analysis pipelines.
