contextual and role prompting 18 System prompting 19 Role prompting 21 Contextual prompting 23 Table of contents Step-back prompting 25 Chain of Thought (CoT) 29 Self-consistency 32 Tree of Thoughts Vertex AI,6 which provides a playground to test prompts. In Table 1, you will see an example zero-shot prompt to classify movie reviews. The table format as used below is a great way of documenting prompts important to keep track of your prompt engineering work in a disciplined, structured way. More on this table format, the importance of tracking prompt engineering work, and the prompt development process is

Cache We demonstrate a comparison of the KV cache per token among different attention mechanisms in Table 1. MLA requires only a small amount of KV cache, equal to GQA with only 2.25 groups, but can achieve ??ℎ? Moderate Multi-Query Attention (MQA) 2?ℎ? Weak MLA (Ours) (?? + ?? ℎ)? ≈ 9 2?ℎ? Stronger Table 1 | Comparison of the KV cache per token among different attention mechanisms. ?ℎ denotes the number additionally provide our evaluation formats for each benchmark in Appendix G. 3.2.2. Evaluation Results In Table 2, we compare DeepSeek-V2 with several representative open-source models, includ- ing DeepSeek 67B

dataset? 清洗数据 Can you create a heatmap using this data? 创建一个热力图 Can you segment this data and create a table? 切分数据 Can you create a graph using this data? 制作一个图 Can you create a world cloud? 做一个词云 Can you

technology to its extreme… …The other eight, seven and a half billion people don't. I'll put on the table that, in fact, artificial intelligence is the greatest opportunity for us to close the technology