. The context-sensitive help information appears. In general, context-sensitive help provides more detailed information than within ACLI menus. For system commands, it prompts you about the information you need to enter to execute a system command successfully. For configuration elements, it prompts ...
The login shield prompts the user for identification information and compares the identification information to a set of authorized users. If a match is found, the login shield establishes the initial workspace and launches the selected applications. The user is also provided a means to create and...
The Help viewer shows the documentation sent by the Help server. If the Help server found more than one content element, the Help viewer shows a list and prompts you to select the documentation you want to review. Query Rules for Context-Sensitive Help ...
A context sensitive database connectivity assistance tool is provided in an integrated development environment. The user provides database information for each connection to be used in a project. The database information may include schema name, database name, username, password, port number, etc. ...
Research in psychology has long underscored the significance of contextual influence on social cognition processes and behavior. However, the exploration of sexual interactions as a unique context affecting these processes has largely been neglected by p
Toward Conversational Agents with Context and Time Sensitive Long-term Memory. Nick Alonso, Tomás Figliolia, Anthony Ndirango, Beren Millidge. Arxiv 2024. Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue. Shixuan Fan, Wei Wei, Wendi Li, Xian-Ling Mao, Wenfeng Xie, Da...
exposing participants to sexual content or to situational prompts41,53,56,103. We therefore suggest that testing the effects of these manipulations on various social cognition processes, several of which have been discussed here, is feasible. Furthermore, we believe that employing state-of-the-art...
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates. - Li-Hyn/prompt-in-context-learning
Such evaluation is notorious for being highly sensitive to minor prompt modifications, as well as the choice of specific in-context examples. Prior work has examined how modifying different elements of the prompt can affect model performance. However, these earlier studies tended to concentrate on a...
using ten datasets covering classification and generation tasks. We find that repeating text within the prompt boosts model performance, and bigger models (≥30B) are more sensitive to the semantics of the prompt. Finally, we observe that adding task and inline instructions to the demonstrations enh...