Chametzky, BarryGrounded Theory Review
Not every SharePoint site comes with a ready-made agent that's automatically grounded in all the content within the site. At the time a SharePoint site is created, Microsoft 365 Copilot automatically creates a ready-made agent for the site if certain requirements are met. These requiremen...
What is a large language model (LLM)? Large language models (LLMs) are just one type of the models used in machine learning. So, why does the term LLM come up so frequently in connection to generative AI? One of the reasons is that the LLM subset of AI models excels at natural lan...
“An AI agent uses a large language model to orchestrate conversations, which makes it very easy to create a natural flow, while also cutting down configuration time,” Rathna said. “The agent does a better job of understanding intent and matching it to the right answers.” If a chatbot ...
What does InstructLab do? LLMs serve as the foundation for generative AI use cases, like chatbots and coding assistants. These LLMs can be proprietary (such as OpenAI’s GPT models and Anthropic’s Claude models) or offer varying degrees of openness around pretraining data and usage restricti...
Chatbots and other conversational systems that use natural language processing can benefit greatly from RAG and generative AI. Implementing RAG requires technologies such as vector databases, which allow for the rapid coding of new data, and searches against that data to feed into the LLM. How Do...
Retrieval-augmented generation(RAG) is an AI technique where an external data source is connected to alarge language model(LLM) to generate domain-specific or the most up-to-date responses in real time. How Does RAG Work? LLMs are powerful, but their knowledge is limited to their pretrainin...
Unlike traditional AI models, generative AI “doesn’t just classify or predict, but creates content of its own […] and, it does so with a human-like command of language,” explained Salesforce Chief Scientist Silvio Savarese. Of course, the ability to classify and predict data accurately ...
Grounded in the Heuristic-Systematic Model and Means-End-Chain Theory, this study conducted an online survey of university students in mainland China through random sampling (time1, n = 823; time2, n = 712), explores how heuristic factors (anthropomorphism and likability) and systematic...
The use of both inductive and deductive coding enables the analysis to both be grounded in the known context at the same time as being open to unanticipated outcomes (Cohen et al., 2017). Trustworthiness of interpretation was strengthened by triangulation of the two phases of data collection, ...