The Retrieval-Augmented Generation (RAG) pipeline has gained significant traction in recent years. Large Language Models (LLMs) leverage domain-specific knowledge through the RAG mechanism to generate insightful and contextually relevant responses. I...
Hi SnapLogic Community,I am interested in exploring SnapLogic's Generative AI Builder to create applications powered by LLM (Large Language Models) but I am not sure about the process.Could someone guide me on how to use the Generative AI Builder eff...
I recently came back from Gartner's Data and Analytics Summit in Orlando, Floria. As expected, GenAI was a big area of focus and interest. One of the sessions that I attended was "10 best practices for scaling Generative AI." The session highlight...
Last week the European Union's passage of a new AI Act. Recognized as one of the strictest AI regulations globally, this development holds significant implications for companies involved in AI, especially in data-intensive sectors like technology, fi...
As IT professionals, we are witnessing a transformative era in technology with the rise of generative AI (GenAI). There has been significant analysis and understandable concern about the impact of these advancements on our roles, but I believe that i...
To say we've journeyed through a realm of groundbreaking advancements since the release of SnapGPT in August (has it already been 4 months?!) is just scratching the surface. At AWS re:Invent 2023 not only did we showcase SnapGPT, but we also unveiled...
Happy Friday everyone! We were looking at the usage data for various SnapGPT features. Though SnapGPT has many excellent features - interactive help, pipeline creation, sample data and expression generation, and now SQL query generation, the “describ...
SnapLogic recently published a survey of use of Generative AI in organizations around the world. 67% of respondents said they are already saving 1-5 hours every week from use of GenAI tools. What about you? Are you using GenAI tools? Are they helpin...
