Learn Before
Input Formatting with Separator Tokens
For tasks involving multiple text segments, a common input formatting strategy is to concatenate the sequences and use a special separator token, like [SEP], to distinguish between them. For instance, an input sequence and a target sequence can be combined into a single input stream for a model as: [SEP] [SEP].
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Related
Output Variation in Sequence Models
Role of the [CLS] Token in Sequence Classification
Masked Language Modeling
Input Formatting with Separator Tokens
Standard Auto-Regressive Probability Factorization using Embeddings
CLS Token as a Start Symbol in Encoder Pre-training
Comparison of Context Usage in Causal vs. Masked Language Modeling
Applying the General Sequence Model Formulation
In the general formulation of a sequence model,
o = g(x_0, x_1, ..., x_m; θ), which statement best analyzes the distinct roles of the components?Match each symbol from the general sequence model formulation,
o = g(x_0, x_1, ..., x_m; θ), with its correct description.Fundamental Issues in Sequence Model Formulation
Neural Network as a Parameterized Function
Learn After
A language model needs to process two distinct sentences as a single input to determine if they are paraphrases of each other. The first sentence is 'The team celebrated their victory.' and the second is 'The squad rejoiced after their win.'. Based on the common method for handling multiple text segments, which of the following represents the correctly formatted input?
Troubleshooting Model Input Formatting
Diagnosing Input Formatting Errors