Example of Throughput Gain with Increased Batch Size
An example illustrating the efficiency gains from batching compares processing four sequences with a batch size of one versus a batch size of four. When the batch size is one, each sequence is processed sequentially, with the system completing the prefilling and decoding for the first sequence before starting the second, and so on. In contrast, with a batch size of four, all four sequences are processed in parallel within a single computational pass. This parallel execution significantly increases throughput by making better use of the hardware's capacity, even though it requires padding shorter sequences to match the length of the longest one.
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Ch.5 Inference - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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An engineering team is deploying a large language model to power a real-time, interactive customer service chatbot. The top priority is ensuring that users experience minimal delay between sending a message and receiving a response. Which batch size strategy should the team implement to best achieve this goal?
Example of Throughput Gain with Increased Batch Size
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Learn After
An inference server needs to process 12 independent user requests. The server's hardware has two processing options:
- Sequential Processing: Handle one request at a time, with each request taking 2 seconds to complete.
- Batched Processing: Group 4 requests into a single batch and process them in parallel, with the entire batch taking 3 seconds to complete.
Based on this information, which statement correctly analyzes the total time required and the resulting efficiency of each approach?
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