code: def FaissAlternatingLeastSquares(
      *args,
      approximate_similar_items=True,
      approximate_recommend=True,
      nlist=400,
      nprobe=20,
      use_gpu=implicit.gpu.HAS_CUDA,
      **kwargs,
  ):
      # note that we're using the factory function here to instantiate a CPU/GPU model as appropriate
      als_model = implicit.als.AlternatingLeastSquares(
          *args, use_gpu=use_gpu, **kwargs
      )
  
      from implicit.ann.faiss import FaissModel
  
      return FaissModel(
          als_model,
          approximate_similar_items=approximate_similar_items,
          approximate_recommend=approximate_recommend,
          nlist=nlist,
          nprobe=nprobe,
          use_gpu=use_gpu,
      )
  
label_desc: Use image node_id 3 for calling a global function with example usage: FaissAlternatingLeastSquares() and returns: FaissModel