AI Education
We need more than just artificial intelligence. We need virtual experts that are accurate, authoritative, and effective. It’s not enough to deploy AI technologies to answer customer service questions, assist a doctor’s medical diagnosis, identify a negotiator’s key clauses in a contract, provide...
5 Obstacles to Avoid in RAG Deployment: A Strategic Guide Learn how to prevent RAG failure points and maximize the ROI from your AI implementations.
A data pipeline is a set of processes and tools for collecting, transforming, transporting, and enriching data from various sources. Data pipelines control the flow of data from source through transformation and processing components to the data’s final storage location. Types of Data Pipelines AI...
Semantic search goes far beyond the words that people use in their searches, to interpret the intent behind the words, and the greater context in which people are asking. Traditional lexical or keyword-based technologies cannot accomplish this. The relevance and actionability of information that...
Data is classified into two main types: structured and unstructured. Structured data refers to organized information that follows a predefined format and resides in fixed fields within a record or file. Structured data is easily searchable, organized, and can be stored in databases. Unstructured...
The magic of artificial intelligence (AI) infrastructure such as large language models (LLMs) is its ability to generate text that mirrors human conversation, but that ability isn’t magic it’s the result of studying humans’ capabilities. This is another way of saying LLMs are like any computer —...
The prevalence of artificial intelligence across industries has introduced new and unfamiliar terms. It’s possible you’ve had a number of conversations about your organization’s AI strategy and how to utilize things like “LLMs” without ever asking: what is an LLM? In this blog post, we will...