Leo Sevigny的动态

LLM's impact in business settings up until now has mostly been limited to human transactions delivering point solutions like content generation or search. The advent of large action models (LAMs) is set to change that. The combination of LAMs and LLMs will prove to be the missing link that makes AI a true game-changing technology for business workflows and decision making in the coming years. Prompts to LLMs will generate a series of actions reflecting chain of thought, and LAM with goal-driven agents drives the action, resulting in much lower human?interaction. Read my just-published post on the 3Pillar Global site for more on why this will be a powerful blend that shapes the future of solid applications of AI, providing the foundational building blocks for companies to utilize AI to develop innovative new products and services. Don't hesitate to reach out to find out more about how 3Pillar can help you navigate this shift.?https://lnkd.in/ecGxuWKu #AI #artificialintelligence

??????Thanks to Charles Austin for this great AI nudge. We need to be asking these types of questions ?????? ???????????????????? ???????????????????? ???????????? ????, ?????? ?????? ???????????? ???? ?????????????????????? ???? Let's have an open conversation about generative AI, creativity, and the nature of inspiration. ?? Have you ever wondered how similar our creative process is to AI language models like ChatGPT, Claude, or Gemini? Consider this: ?? Every piece of content we create, every picture we've ever drawn, every invention we build– ??????'?? ???? ?????? ???????????????????? ???? ?????? ??????????????????????, ???????? ?????? ??????????????? In a way, ????'???? ?????? "??????????????" ???? ?????? ??????????????????????, much like AI is trained on large amounts of data. We process information, learn patterns, and create something new – just like AI, but with our unique human touch. Nothing is exactly the same ??????%. ?????? ????????'?? ?????????? ???? ???????? ??????????????????????: ? Humans bring personal experiences, emotions, and intentions to their creations. ? AI processes vast amounts of data to generate content, but lacks true understanding of the emotional connection, sometimes, good prompts help mitigate that issue some. ? The line between inspiration and copying isn't always clear – for humans or AI, but it has ALWAYS been a fine line that only required a TINY bit of change to become our own "Original" piece of work. ?????? ???? ???? ?????????? ???????????????? ????????????? ?? So, when I hear people talk about AI "plagiarizing," are we holding it to a different standard than ourselves? ???? ??????'?? ???????? ?????????? ????! 1. How do you define originality in the age of AI? 2. What makes human creativity unique? 3. How can we responsibly use AI while respecting human creativity? Share your thoughts! Let's have a constructive dialogue about the future of creativity in a world where AI is taking center stage. ?? #AIandCreativity #DigitalInnovation #FutureOfTech #CollaborationisKey ??????Thanks to Charles Austin for this great AI nudge. We need to be asking these types of questions ??????

This week's blog begins that start of our 'Month of AI'. Across this month we will have four AI-focussed blogs, AI-questions at our Bid Breakfasts, and a special AI webinar at the end of the month. To kick things off, our first blog is on AI Basics. #bidding #ai

?? AI Hype vs. Reality: Where Do We Stand? ?? For the past 18 months, I’ve watched the buzz around AI and large language models (LLMs) grow louder. It’s exciting, but also a bit overhyped. ?? Marcus Merrell’s says : For the past 18 months, I’ve watched the buzz around AI and large language models (LLMs) grow louder. It’s exciting, but also a bit overhyped. ?? Yes, tools like ChatGPT are amazing—I've personally seen an 80% boost in my productivity using it! But let’s be real: AI is still in its early stages, and it has limitations. Here are some key points to keep in mind: 1. AI “Hallucinations”: Sometimes, AI gives wrong or nonsensical answers. This is a built-in problem we can’t fully solve. 2. Inconsistent Outputs: AI doesn’t always give the same answer to the same question. This unpredictability can be tricky, especially in fields where consistency is crucial. 3. Hidden Costs: Running AI models is expensive. Right now, companies are absorbing these costs to get us hooked, but prices could rise later—just like what happened with Uber. 4. But let’s not forget: AI can be super helpful! Whether it’s brainstorming ideas, writing the first draft of an email, or learning something new, AI has its place. It’s a great tool, but it’s not going to revolutionize the world overnight. However, we should celebrate what AI can do while keeping our expectations in check. ?? #AI #TechReality #Productivity #Innovation #AIInBusiness

?? The Case for a 'Data-Centric RAG' Approach in Your AI Application Retrieval Augmented Generation (RAG) aims to equip Large Language Models (LLMs) like ChatGPT with more contextual knowledge on specialized topics, ensuring they have the necessary information to provide responses that are not only useful but accurate. Let's dive in. ? Why Can RAG Sometimes Fail? The effectiveness of RAG heavily relies on the additional context from your input data. Given the complexity of language models, certain approaches are more successful than others. Insufficient data preparation can lead to inaccurate AI-generated content and hallucinations. ?? The Importance of a 'Data-Centric RAG' Approach to Prevent Hallucinations Adopting a data-centric approach to Retrieval-Augmented Generation (RAG) highlights the importance of the underlying data that fuels Large Language Models (LLMs). This strategy focuses on the quality, relevance, and diversity of the data used to inform these models, significantly reducing inaccurate responses and hallucinations. ?? We have developed a detailed 60-page guide on strategies to minimize and manage the risk of hallucinations in Generative AI. The guide underscores the necessity of modeling and structuring your data with a "Data-Centric RAG Approach." If you're keen on exploring practical strategies and enhancing your understanding, you can download the guide here: https://lnkd.in/eh7pCNGe

In 2022, the AI wave took over with tools like ChatGPT, Stable Diffusion AI Art Generator, and Midjourney making headlines. Amid the buzz, Manuel Bruscas, VP Data Analytics at Holaluz.com, passionate about telling stories with Data, teamed up with Outvise to debunk common AI myths and explore its true potential and challenges. Read the full article: https://bit.ly/4c7oi4r #AI #TechTrends #AItrends #ChatGPT #AIMyth

Delighted to share that Cyara's CEO, Alok Kulkarni, recently contributed to a compelling Forbes Technology Council article titled "How AI Is Making Life And Work More Complicated (And How To Fix It)." Alok addresses the critical issue of #AI model drift and its profound effects on customer interactions. Explore Alok's insights, alongside contributions from other members of the Forbes Tech Council, shedding light on the challenges AI poses and actionable solutions to alleviate them. https://lnkd.in/eZwJVENN

Which generative AI tools are best at what tasks? Which ones are best for brainstorming, searching, content generation and organization, etc? In this article, I explore some of my workflows and my tool stack for specific use cases. Hopefully, this will inspire you to build a stack that adapts to your unique needs. Check, it out, follow me Hernan Chiosso, CSPO, SPHR ??, and subscribe to ProductizeHR for more.

?? Why Multi-Agent AI is the Future of Intelligent Campaigns ?? At Brilliant & Bloom, we’re pioneering the use of Multi-Agent AI to drive creative, data-informed campaigns that go beyond the capabilities of a single LLM. In a complex, dynamic world, a multi-agent approach provides the layered perspectives and specialized insights needed to tackle nuanced, high-stakes challenges—just as VentureBeat discusses in their latest article: “Why Multi-Agent AI Conquers Complexities LLMs Can’t.” Our BABLE – Multi-Agent System leverages the strengths of multiple foundation models, each with unique perspectives, from creative ideation to strategic refinement. This allows us to combine innovation with precision, ensuring every campaign concept is finely tuned to our clients’ audiences, industries, and cultural contexts. https://lnkd.in/d2WMSYqE As AI evolves, we’re excited to lead with a system that turns complexity into actionable, impactful campaigns. Multi-Agent AI isn’t just the future—it’s happening now, and we’re proud to be at the forefront. #BrilliantAndBloom #AI #MultiAgentSystem #Innovation #MarketingAI #CreativeStrategy #BABLE #FutureOfAI

Discover the latest published post by Pankaj, our Chief Innovation Leader! Learn more on why this will be a powerful blend that shapes the future of solid applications of AI, providing the foundational building blocks for companies to utilize AI to develop innovative new products and services. Don't hesitate to reach out to find out more about how 3Pillar can help you navigate this shift. https://lnkd.in/ecGxuWKu #AI #artificialintelligence