Summary 66 Endnotes 68 Prompt Engineering February 2025 6 Introduction When thinking about a large language model input and output, a text prompt (sometimes accompanied by other modalities such as image sequence of tokens. Prompt engineering is the process of designing high-quality prompts that guide LLMs to produce accurate outputs. This process involves tinkering to find the best prompt, optimizing prompt’s writing style and structure in relation to the task. In the context of natural language processing and LLMs, a prompt is an input provided to the model to generate a response or prediction. Prompt

ever-growing digital datasets that have been in the making for over three decades; breakthrough large language models (LLMs) that – in effect – found freedom with the November 2022 launch of OpenAI’s ChatGPT with Momentum + China’s Rise 5 Leading USA LLMs vs. China LLM Desktop User Share Note: Data is non-deduped. Share is relative, measured across six leading global LLMs. Source: YipitData (5/25) Desktop User computers are ingesting massive datasets to get smarter and more competitive. Breakthroughs in large models, cost-per-token declines, open-source proliferation and chip performance improvements are making

Economical, and Efficient Mixture-of-Experts Language Model DeepSeek-AI research@deepseek.com Abstract We present DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training compressing the Key-Value (KV) cache into a latent vector, while DeepSeekMoE enables training strong models at an economical cost through sparse computation. Compared with DeepSeek 67B, DeepSeek-V2 achieves parameters, DeepSeek-V2 and its chat versions still achieve top-tier performance among open-source models. The model checkpoints are available at h t t p s : / / g i t h u b . c o m / d e e p s e e k - a

foundations 7 Guardrails 24 Conclusion 32 2 Practical guide to building agents Introduction Large language models are becoming increasingly capable of handling complex, multi-step tasks. Advances in reasoning or generating a report. Applications that integrate LLMs but don’t use them to control workflow execution—think simple chatbots, single-turn LLMs, or sentiment classifiers—are not agents. More concretely security reviews. 03 Heavy reliance on unstructured data: Scenarios that involve interpreting natural language, 
 extracting meaning from documents, or interacting with 
 users conversationally, for example

Question Answering Dataset），这个数据集 是一个著名的问答数据集，基于维基百科数据生成，并且数 据是2020年之前的。 AI幻觉问题抽取：多数据集 问题加载 探讨大语言模型（LLMs）在模拟人类意见动态和社 会现象（如极化和错误信息传播）中的表现，特别 是引入偏误信息后的意见动态变化。使用大模型模 拟多个虚拟代理，讨论“气候变暖”、“转基因食 品的安全性”和“疫苗的有效性和安全性”三个具

掌 握开源开发模式、理解认同开源文化。 Yang Liyun: China's open source talent reserve is sufficient; the base is large. China's universities are paying more and more attention to the training of open source talent 到占 比 47% 的程度。 Jiang Bo: I think the distribution of this number only reflects the relatively large proportion of students among the people covered by our questionnaire (after all, the sample size 是 39%和 25%。 The types of companies the respondents work for are mostly domestic startups and large domestic Internet companies, accounting for 39% and 25%, respectively. 【专家点评】/ [Expert Comment]

Europe. NeoGeo created award-winning productions (European Corporate Video Awards 1993 and 1995) for large corporate clients such as the multinational electronics company Philips. Within NeoGeo, Ton was responsible SIGGRAPH conference in early 2000, NaN secured financing of €4.5M from venture capitalists. This large inflow of cash enabled NaN to rapidly expand its operations. Soon NaN boasted as many as 50 employees justify leaving Blender to fade into insignificance. Since restarting a company with a sufficiently large team of developers was not feasible, Ton Roosendaal founded the non-profit organization, Blender Foundation

Europe. NeoGeo created award-winning productions (European Corporate Video Awards 1993 and 1995) for large corporate clients such as the multinational electronics company Philips. Within NeoGeo, Ton was responsible SIGGRAPH conference in early 2000, NaN secured financing of €4.5M from venture capitalists. This large inflow of cash enabled NaN to rapidly expand its operations. Soon NaN boasted as many as 50 employees justify leaving Blender to fade into insignificance. Since restarting a company with a sufficiently large team of developers was not feasible, Ton Roosendaal founded the non-profit organization, Blender Foundation

Europe. NeoGeo created award-winning productions (European Corporate Video Awards 1993 and 1995) for large corporate clients such as the multinational electronics company Philips. Within NeoGeo, Ton was responsible SIGGRAPH conference in early 2000, NaN secured financing of €4.5M from venture capitalists. This large inflow of cash enabled NaN to rapidly expand its operations. Soon NaN boasted as many as 50 employees justify leaving Blender to fade into insignificance. Since restarting a company with a sufficiently large team of developers was not feasible, Ton Roosendaal founded the non-profit organization, Blender Foundation

Europe. NeoGeo created award-winning productions (European Corporate Video Awards 1993 and 1995) for large corporate clients such as the multinational electronics company Philips. Within NeoGeo, Ton was responsible SIGGRAPH conference in early 2000, NaN secured financing of €4.5M from venture capitalists. This large inflow of cash enabled NaN to rapidly expand its operations. Soon NaN boasted as many as 50 employees justify leaving Blender to fade into insignificance. Since restarting a company with a sufficiently large team of developers was not feasible, Ton Roosendaal founded the non-profit organization, Blender Foundation