This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.
Starting today, students, customers, integrators and industry partners interested in diving deeper into the many functions of FANUC robots and collaborative robots, will have access to an entirely new ...
Abstract: Editor’s notes: Reverse engineering modern complex integrated circuits (ICs) relies on extracting as much helpful information as possible, which requires extensive imaging technology support ...
A new technical paper titled “Modeling and Simulating Emerging Memory Technologies: A Tutorial” was published by researchers at TU Dortmund, TU Dresden, Karlsruhe Institute of Technology (KIT) and FAU ...
Midday with polymer engineers is an online professional development lunch and learn style series with special guests from USM, industry, and government interacting with our students. The series is ...
Abstract: This article provides an introduction to the theory of mechanism design and its application to engineering problems. Our aim is to provide the fundamental principles of mechanism design for ...
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and ...
Prompt engineering is a concept in artificial intelligence, particularly natural language processing (NLP). In prompt engineering, the description of the task is embedded in the input. The output of ...
The tutorial, “Advanced Air Mobility (AAM) – Innovating Modeling & Simulation (M&S) to Revolutionize the Future of Transportation,” was developed by a team of faculty, staff, students and alumni ...
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