VisibleThread 的动态

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Let’s break down RAG (Retrieval-Augmented Generation) with an easy-to-understand example: Imagine you’re using an AI assistant to ask, “What are the key points in the latest company earnings report?” Here’s how RAG works: 1?? Retrieval: Instead of relying solely on the AI’s training (which might be outdated), it pulls the latest earnings report from a connected database or document repository. 2?? Generation: The AI reads the retrieved report and summarizes the key points for you in clear, concise language. The result? You get an accurate and up-to-date response without needing to sift through the report yourself. This is what makes RAG so powerful—it combines the ability to fetch real-world data with the creativity of AI to generate meaningful, relevant answers. #ai #datascience #genai #rag #llm #generativeai

The purpose of an organization is to machine ideas – to move concepts to commerce. In large organizations, this journey is hindered by a lack of transparency of content, persistence of conversations, and cumulativeness of computation, resulting in anecdotal analytics, disjointed programs, and unscalable work. ? Listen to Dhiraj talk about how CFOs can help their organizations embrace complexity and thrive in an algorithmic world.?https://lnkd.in/dsbCy-kJ ? #DigitalTransformation?#Productivity?#AI?#WorldofAlgorithms?#CFO

The opportunites for businesses have never been greater, but so is the complexity. As such, the role of the CFO continues to morph and take greater importance. Dhiraj Rajaram, our CEO Founder, shares his thoughts on how CFOs can champion a New Path for decision making so companies can thrive in complexity.

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There's a new #LLM standard and it's over ?????? ???????????? ???????? ????????. Why settle for less? ?? With over ????% ????????????????, ADI's proprietary model is leading the way in semantic understanding and data insight generation. Learn more about how you can unleash the power of accurate data classification: https://lnkd.in/gHZ9TwaH ?? #ADIPlatform #LLM #SemanticModeling #AI #GPT4 #GenAI #ADIvsGPT4 #EntityResolution

?? Embracing AI for Effective Summarization in the Digital Age! As professionals, we are constantly bombarded with information. The ability to distill key insights quickly and efficiently is more crucial than ever. AI-powered summarization tools like TLDR This, Scholarcy, QuillBot, and Grammarly are revolutionizing the way we process content. They transform lengthy articles into digestible summaries, allowing us to focus on what truly matters. From generating flashcards with key points to offering customizable summary lengths, these tools enhance our productivity and decision-making processes. Imagine saving hours on reading and still staying informed! How are you leveraging technology to improve information management in your workflow? Have you tried any of these tools? Share your experiences below! #TechInnovation #FutureOfWork #DigitalTransformation #AI #ProductivityTools #InformationManagement #TechTrends ?? Let’s connect for more insights on utilizing technology to optimize our professional lives! https://lnkd.in/e9fgqggE

There are TWO types of #Enterprises... One - growing year-on-year, yes, but struggling with scattered #data leading to missed opportunities and inefficiencies, because they don't realize how much they are losing out on, without insights that could drive #innovation and growth. And then there are those with giles? AI ?? - who realise the exponential #growth they can achieve with data-driven strategies derived from actionable insights; not to forget, way higher #productivity levels too! Be the latter! Get in touch with giles? - linktr.ee/gileschat #ai #artificialintelligence #machinelearning

There are numerous benefits to semantic tagging, including governance and data quality. ADI specifically uses semantic tagging to materially automate entity resolution and data matching. Our benchmarking demonstrated that our platform can reduce data integration effort by 70% due to automation. Moreover, the more semantics we add to the platform, the more use cases we cover. This unlocks data integration for the data citizen and not just skilled engineers. ADI is making it push button easy to integrate and connect all of your data.

AI promises to revolutionise business research and marketing, but at what cost? From high initial investments to ongoing maintenance, is AI worth the price? Explore the debate on cost and implementation challenges in our comprehensive report. Download for FREE using the link below: #ai #data #insight #marketresearch #cost #roi https://hubs.ly/Q02Mb0mX0