What is the purpose of the "stop sequence" parameter in the OCI Generative AI Generation models?
Which statement describes the difference between Top V and Top p" in selecting the next token in the OCI Generative AI Generation models?
In LangChain, which retriever search type is used to balance between relevancy and diversity?
How are fine-tuned customer models stored to enable strong data privacy and security in the OCI Generative AI service?
You create a fine-tuning dedicated AI cluster to customize a foundational model with your custom training data. How many unit hours arc required for fine-tuning if the cluster is active for 10 hours?
What distinguishes the Cohere Embed v3 model from its predecessor in the OCI Generative AI service?
Given the following prompts used with a Large Language Model, classify each as employing the Chain-of- Thought, Least-to-most, or Step-Back prompting technique.
L Calculate the total number of wheels needed for 3 cars. Cars have 4 wheels each. Then, use the total number of wheels to determine how many sets of wheels we can buy with $200 if one set (4 wheels) costs $50.
2. Solve a complex math problem by first identifying the formula needed, and then solve a simpler version of the problem before tackling the full question.
3. To understand the impact of greenhouse gases on climate change, let's start by defining what greenhouse gases are. Next, well explore how they trap heat in the Earths atmosphere.
What does a dedicated RDMA cluster network do during model fine-tuning and inference?
Which is a cost-related benefit of using vector databases with Large Language Models (LLMs)?