A Generative Al Engineer is tasked with developing an application that is based on an open source large language model (LLM). They need a foundation LLM with a large context window.
Which model fits this need?
A Generative Al Engineer is tasked with developing an application that is based on an open source large language model (LLM). They need a foundation LLM with a large context window.
Which model fits this need?
If you're looking to develop a general LLM application, the Llama2-70B may be a better fit, but if you need a solution optimized for your specific use and prefer the flexibility of open source, the MPT-30B is also a great choice.
MPT-30B has an 8k context window, while Llama2-70B has 4096, Hence B is correct answer for this question
8k token size
DBRX only accepts text-based inputs and accepts a context length of up to 32768 tokens.
DBX supports large context lengths (up to 32k tokens)
DBRX is a state-of-the-art open-source LLM developed by Databricks that is designed with a large context window (up to 32K tokens). It’s built specifically for high-performance generative tasks, making it well-suited for applications that require handling long documents or extended conversations.