  Modelling and interpreting the SEDs of galaxies has become one of the key
tools at the disposal of extragalactic astronomers. Ideally, we could hope
that, through a detailed study of its SED, we can infer the correct physical
properties and the evolutionary history of a galaxy. In the past decade,
panchromatic SED fitting, i.e. modelling the SED over the entire UV-submm
wavelength regime, has seen an enormous advance. Several advanced new codes
have been developed, nearly all based on Bayesian inference modelling. In this
review, we briefly touch upon the different ingredients necessary for
panchromatic SED modelling, and discuss the methodology and some important
aspects of Bayesian SED modelling. The current uncertainties and limitations of
panchromatic SED modelling are discussed, and we explore some avenues how the
models and techniques can potentially be improved in the near future.
