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What is RAG? Retrieval-Augmented Generation for AI

Retrieval-augmented generation (RAG) is an AI framework and powerful approach in NLP (Natural Language Processing) where generative AI models are enhanced with external knowledge sources and retrieval-based mechanisms. These appended pieces of outside knowledge provide the model with accurate, up-to-date information that supplements the LLM’s existing internal representation of information. As the name suggests, RAG models have a retrieval component and a generation component.

How Financial Services Should Prepare for Generative AI

It’s no surprise that ever since ChatGPT’s broader predictive capabilities were made available to the public in November 2022, the sprawl of stakeholder capitalization on large language models (LLMs) has permeated nearly every sector of modern industry, accompanied or exacerbated by collective fascination. Financial services is no exception. But what might this transformation look like, from practical applications to potential risks?

How Apps Bring Gen AI & LLMs To Life

In this conversation with Snowflake's Christian Kleinerman, Amanda Kelly, and Adrien Treuille, "Data Cloud Now" anchor Ryan Green discusses the origins of Streamlit, its exponential growth as an application development tool since being acquired by Snowflake, and the important role it is playing in the development of machine learning models across all industries. This wide-ranging conversation also explores the ways Gen AI and LLMs will transform the application development process and touches on the role the Open Source community will play in that transformation.

Driving Profitability through Cloud Adoption

What does it take for an architecture, engineering, or construction business to be profitable? Many look toward aggressive growth and expansion, either by geography or acquisition or both. However, growth requires significant spending on resources from new employees to acquisitions, and it takes time to see a return on your investment.

Harness Generative AI in Your Processes with the Prompt Builder AI Skill

Over the past year, interest in artificial intelligence has surged due to the proliferation of generative AI and large language models. These tools captured imaginations, demonstrating a technology brimming with possibility. While many focused on the potential of these tools, some companies made AI practical. For example, last year, Appian released packaged AI tools for processing content at scale and quickly building interface forms.

Gen AI And LLMs Will Transform The Enterprise

Snowflake's Mona Attariyan, Director of Engineering, leads this conversation with Snowflake's Sunny Bedi, CIO and CDO, and Jennifer Belissent, Principal Data Strategist, about the impact Gen AI and LLMs will have on enterprises. Topics covered range from the impact on employee productivity, the personalization of the customer experience, the opportunities for data monetization. and more.