GPT (Generative Pre-trained Transformer) is a family of large-scale language models developed by OpenAI for NLP (Natural Language Processing) tasks. GPT models are based on the Transformer architecture and are pre-trained on massive amounts of text data using unsupervised learning. The pre-trainin...
There are several ways to transform the molecular structure into predictors, including molecular fingerprints (Morgan, 1965; Rogers and Hahn, 2010), molecular descriptors (Todeschini and Consonni, 2008), natural language programming (NLP) based embeddings (Jaeger et al., 2018), or graph-based ...
It is passed into JModelica and discretized using the direct collocation method, which approximates the dynamic model variables using piecewise polynomials. This results in a large and sparse Nonlinear Program (NLP) solved by the algorithm IPOPT. IPOPT, short for interior point optimizer, is a ...