Cambridge Semantics Inc.’s Post

There is a chance of data replication/duplication when data entry is done by different users. This could lead to poor decision-making, The good news is that modern technologies like Generative AI and Large Language Models (LLMs) can help identify and correct duplicate entries. Read more here: https://bit.ly/3L998PR #DataReplication #DataDuplication #GenerativeAI #LargeLanguageModels

There is a chance of data replication/duplication when data entry is done by different users. This could lead to poor decision-making, The good news is that modern technologies like Generative AI and Large Language Models (LLMs) can help identify and correct duplicate entries. Read more here: https://bit.ly/3L998PR #DataReplication #DataDuplication #GenerativeAI #LargeLanguageModels

There is a chance of data replication/duplication when data entry is done by different users. This could lead to poor decision-making, The good news is that modern technologies like Generative AI and Large Language Models (LLMs) can help identify and correct duplicate entries. Read more here: https://bit.ly/3L998PR #DataReplication #DataDuplication #GenerativeAI #LargeLanguageModels

Not all LLM's are the same, see the initial results from our real-world benchmarking toolset, BASIC, that provides a level of clarity across the LLM mine field, highlighting the optimum configuration for your use case and budget. More to come from Enterprise Bot!

𝗗𝗼𝗻’𝘁 𝗴𝗲𝘁 𝗱𝗿𝗼𝘄𝗻𝗲𝗱 𝗶𝗻 𝘁𝗵𝗲 𝗻𝗼𝗶𝘀e 🔇  Cut Through AI Complexity with 𝗕𝗔𝗦𝗜𝗖 – Our New Benchmark—specifically designed to evaluate the real-world performance of AI systems, particularly in LLM (Large Language Models) and RAG (Retrieval-Augmented Generation). Unlike benchmarks that rely on academic datasets, BASIC uses real-life questions from customer service and finance to test AI under actual business conditions. 𝗕𝗔𝗦𝗜𝗖 simplifies AI evaluation by focusing on five key metrics that directly impact business performance: Bounded, Accurate, Speedy, Inexpensive, and Concise. That’s why we've developed 𝗕𝗔𝗦𝗜𝗖 — our straightforward benchmark tailored for enterprises. This is just the first release in a series dedicated to enhancing AI evaluation, with more to come. Evaluate based on best practices and what truly enhances enterprise efficiency. 📑 Read the full article for a detailed breakdown of how popular AI models stack up against the 𝗕𝗔𝗦𝗜𝗖 criteria. Find out which systems truly meet the practical needs of businesses today: https://lnkd.in/gFSi3Xzr #GenerativeAI #EnterpriseTech #EnterpriseBot

AI is changing the game of document interaction 💡 In today's data-focused world, retrieving and generating information efficiently is key for any business. Breakthroughs such as Generative AI and Retrieval-Augmented Generation (RAG) are taking us to a more intuitive and conversational approach to this. Check out this new article and explore how Large Language Models (LLMs) and RAG are transforming industries like insurance, pharma, and banking—and why your company should pay attention to them. #AI #Technology #Innovation #RAG

AI is changing the game of document interaction 💡 In today's data-focused world, retrieving and generating information efficiently is key for any business. Breakthroughs such as Generative AI and Retrieval-Augmented Generation (RAG) are taking us to a more intuitive and conversational approach to this. Check out this new article and explore how Large Language Models (LLMs) and RAG are transforming industries like insurance, pharma, and banking—and why your company should pay attention to them. #AI #Technology #Innovation #RAG #airevolutionizingdocs #generativeaiinaction #ragtransformsindustries #datadriveninnovation #conversationalai #llmadvancements #documentinteractionevolved #industrytransformation #smartbusinessstrategy #innovatewithai

I am excited about the long-term prospects of Generative AI. However. It's clear that many large organizations are facing a challenge: their data infrastructure isn't quite ready for the powerful capabilities of Large Language Models (LLMs) or Structured Language Models (SLMs). As a result, they're missing out on the immediate benefits these foundational models could offer. Addressing data readiness is key to unlocking the full potential of AI in driving innovation and competitiveness. #AI #GenerativeAI #DataInfrastructure #DigitalTransformation #ML #Machinelearning

🚀 Exciting AI Trends for 2024: Retrieval-Augmented Generation (RAG) is set to revolutionize how businesses harness the power of large language models (LLMs)! Check out this insightful article by David Fang and Justin Haan from MoFo Tech, highlighting how RAG enhances LLM performance for domain-specific tasks without the need for extensive retraining. Dive into the future of AI with RAG and discover how it augments user prompts with relevant, high-quality information, leading to more accurate and tailored outputs. Read more: https://lnkd.in/g_bycUyk #AI #RAG #FutureTech

Built with a combination of custom algorithms, 50,000+ hours of training and world-class Large Language Models – Yabble is fully secure, and is the leading AI solution for every stage of research. From data creation to data analysis, you can achieve insightful answers to your most important questions in minutes. Ready to achieve effortless insights? Yabble it >> https://hubs.la/Q02BPD4z0 #AI #insights #yabbleit