What does a dedicated RDMA cluster network do during model fine-tuning and inference?
What does "k-shot prompting* refer to when using Large Language Models for task-specific applications?
ow do Dot Product and Cosine Distance differ in their application to comparing text embeddings in natural language?
How does the architecture of dedicated Al clusters contribute to minimizing GPU memory overhead forT- Few fine-tuned model inference?
What does "Loss" measure in the evaluation of OCI Generative AI fine-tuned models?
The difference between the accuracy of the model at the beginning of training and the accuracy of the deployed model
Given the following prompts used with a Large Language Model, classify each as employing theChain-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.
Which statement describes the difference between Top V and Top p" in selecting the next token in the OCI Generative AI Generation models?
Which Oracle Accelerated Data Science (ADS) class can be used to deploy a Large Language Model (LLM) application to OCI Data Science model deployment?
Given the following code: chain = prompt |11m
Which statement is true about the "Top p" parameter of the OCI Generative AI Generation models?
What is the primary function of the "temperature" parameter in the OCI Generative AI Generationmodels?
Why is normalization of vectors important before indexing in a hybrid search system?