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The advantages of RAG are two-fold: there is no need to re-train or finetune the LLM, and hallucinations are reduced since answers are derived from the proprietary data instead of the LLM directly. To understand how to derive the answers in context of the data, let us look at the types of data.
- FactSet Announces Artificial Intelligence Blueprint and ...
FactSet announces its AI Blueprint, our product roadmap...
- FactSet Announces Artificial Intelligence Blueprint and ...
Sep 6, 2023 · More specifically, Large Language Models have enabled higher productivity and optimization within data extraction, natural language understanding for search and chat, text generation, text summarization, and sentiment analysis across FactSet’s digital platform.
- Yuri Malitsky
ChatGPT is powered by a Large Language Model (LLM), an AI model that can generate and process natural language in a variety of ways. For example, LLMs can summarize text, answer questions from text, and rephrase text.
Jun 12, 2024 · We developed and launched the beta release of a Large Language Model-based knowledge agent- FactSet Mercury, to support junior banker workflows and enhance fact-based decision-making.
Nov 16, 2023 · FactSet announces its AI Blueprint, our product roadmap designed to leverage the power of AI to further enhance our industry-leading solutions and deliver unparalleled levels of personalization, discoverability, and productivity to clients.
Transform the way you discover, evaluate, and act on opportunity with FactSet’s artificial intelligence capabilities including machine learning and natural language processing. Explore the power of AI in finance with FactSet's cutting-edge solutions.
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Nov 16, 2023 · FactSet lays out AI blueprint for discoverability, workflows, and innovation. The data provider is utilizing generative AI and large language models to provide a conversational interface in FactSet Workstation that will complement AI-powered workflows and products. By Nyela Graham. 16 Nov 2023.
