A. RAG Token does not use document retrieval but generates responses based on pre-existing knowledge only.
B. RAG Token retrieves documents oar/at the beginning of the response generation and uses those for the entire content
C. Unlike RAG Sequence, RAG Token generates the entire response at once without considering individual parts.
D. RAG Token retrieves relevant documents for each part of the response and constructs the answer incrementally.
A. Capacity to translate text in over u languages
B. Emphasis on syntactic clustering of word embedding's
C. Improved retrievals for Retrieval Augmented Generation (RAG) systems
D. Support for tokenizing longer sentences
A. It requires a large temperature setting to ensure diverse word selection.
B. It selects words bated on a flattened distribution over the vocabulary.
C. It picks the most likely word email at each step of decoding.
D. It chooses words randomly from the set of less probable candidates.
A. By incorporating additional layers to the base model
B. By restricting updates to only a specific croup of transformer Layers
C. By allowing updates across all layers of the model
D. By excluding transformer layers from the fine-tuning process entirely
