Many organizations face hurdles when implementing AI in Regulated Industries. But there are key considerations to smoothen the process: - Define desired outcomes - Establish ROI metrics - Identify talent gaps - Ensure data readiness - Address security and compliance needs - Manage PII, PHI, and access control effectively We're going to help you understand the difference between: -Large Language Model -Self-Trained Model -Fine Tuning LLMs -Retrieval Augment Generation - Improving accuracy -Agents -Large Action Models -Self-Hosted v Public LLMs Join me and Alex Slawsby of InnoLead to delve deeper into navigating AI deployment in regulated sectors.
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AI & Data Analytics Advisor | Empowering Federal & Commercial Sectors with Cutting-Edge AI Solutions
As we continue working with Gen AI tools, mastering the art of Chain of Thought (CoT) prompting stands out as a game-changer for commercial and federal consultants. By implementing CoT techniques, we can enhance the reasoning capabilities of large language models (LLMs), enabling them to tackle complex, multi-step problems with a level of precision and clarity previously unattainable. This is significant for us as AI consultants. CoT prompting aligns perfectly with the needs of our clients, who require detailed, transparent, and logically coherent Gen AI solutions. Whether generating creative content, solving intricate coding problems, or optimizing decision-making processes, CoT allows us to break down tasks into manageable steps that LLMs can understand and execute. This boosts efficiency and improves the interpretability of Gen AI decisions, making it easier for stakeholders to trust and rely on our solutions. For our clients in the government and commercial sectors, where accuracy, security, and compliance are paramount, the structured problem-solving approach offered by CoT can be particularly beneficial. It ensures that Gen AI operations adhere to stringent regulatory standards while providing clear insight into how decisions are made, thereby enhancing accountability. Implementing CoT doesn't require overhauling existing systems but rather seamlessly integrates into the LLM frameworks we already use. We AI consultants need to start experimenting with CoT in our practices. We must begin by identifying challenges that require layered, nuanced thinking and apply CoT to unfold these complexities systematically. The benefits of deploying such advanced AI strategies are immense—enhancing operational efficiency and building robust, dependable AI systems that can adapt and excel in any scenario. Let's dive into the transformative world of structured reasoning and unlock the full potential of our Gen AI solutions today. #ArtificialIntelligence, #MachineLearning, #Innovation, #DataAnalytics, #Consulting, #Technology, #AITrends, #DigitalTransformation, #BusinessStrategy, #GovernmentConsulting, #CommercialInnovation, #TechLeadership, #ProblemSolving, #AIConsulting, #FutureOfWork
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Looking to leverage AI as a CIO? Uncover the benefits of self-hosted LLMs vs. commercial AI solutions. From security and customization to ease of use and support, find the right fit for your enterprise. 🌟 Empowering Enterprises: How Large Language Models (LLMs) are revolutionizing business operations. 🔀 Self-Hosted vs. Commercial: The pros and cons of different LLM deployment strategies. 🛠️ Innovation and Control: Tailor AI to fit your unique business needs for enhanced security and customization. 🔗Dive deeper into the transformative power of LLMs for businesses in our latest blog: https://lnkd.in/dCrQ2Q4V
Navigating the World of Large Language Models in the Enterprise
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LLMs require a high degree of supervision and human-in-the-loop systems to align them with the proper context, nuance, and brand voice. LLMs have shown a remarkable ability to transform how organizations disseminate knowledge, interact with customers, and develop new products. However, even the best LLMs can still sound like a familiar puppet that lacks the tone and style of a company’s brand. It's becoming increasingly clear that LLMs still require a high degree of refinement through supervision and human-in-the-loop processes to give them the much-needed context, nuance, and brand voice. This is why I’m excited to share Labelbox’s new LLM solution. Our goal is to help every team leveraging LLMs for their enterprise do so with human-centric evaluation in mind. Check it out: https://lnkd.in/gt5tVmHE We’d love to learn more about how your team is incorporating LLMs and what frameworks you’re using to harness generative AI effectively and safely. #artificialintelligence #machinelearning #mlops #generativeai #llms
Large Language Models | Labelbox
labelbox.com
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SEO Expert |Digital Marketing| Wordpress | Google localguide level 10 | Performance Marketing | GMB Listing | Growth Hacker| CyberSecurity| Cryptomaniac
Today we’re launching Gemini Advanced — a new experience that gives you access to Ultra 1.0, our largest and most capable state-of-the-art AI model. In blind evaluations with our third-party raters, Gemini Advanced with Ultra 1.0 is now the most preferred chatbot compared to leading alternatives. With our Ultra 1.0 model, Gemini Advanced is far more capable at highly complex tasks like coding, logical reasoning, following nuanced instructions and collaborating on creative projects. Gemini Advanced not only allows you to have longer, more detailed conversations; it also better understands the context from your previous prompts - rewrite this as a social media post
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#WebinarReplay | Generative AI Strategy: From Understanding to Actionable Roadmap 💡🚀 Missed our live session? No worries! The on-demand replay of our insightful webinar on #GenAI is now available! 📆 Two weeks ago, we went deep into the world of #GenerativeAI with our experts Christoph and Michael. Now, you can access the rich insights and structured strategies at your convenience. Key Takeaways: - Open-source vs. Closed-source #LLMs: Strategic choices for your business - Navigating #DataQuality & Compliance in the AI landscape - Effective Evaluation Strategies for LLMs: What works best? - Building a Successful Team: Key roles and collaboration - Real-world Insights: Client case studies from Banking and Public sectors Perfect strating point for those looking to integrate #AI into their business operations effectively: https://hubs.la/Q02d20bg0 ⏱️ 45 minutes 🌍 English 📖 Access more #Data & #Analytics resources: https://lnkd.in/dqgVpQuu
On-demand Webinar - GenAI Strategy: From Understanding to Roadmap
landingpage.positivethinking.tech
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In a recent HBR survey, nearly 80% of employees reported that automation gave them more time to deepen relationships with customers and other stakeholders, take on challenging new projects, and learn new skills 🤖 🚀 Powered by the latest advancements in Large Language Models (LLM) and generative AI, SaaSy AI is not just a tool; it’s a game changer in customer communication and support. What does this mean 🤔? The robust nature of SaaSy AI allows the bot to respond and handle customer queries instantly, enabling rapid response time and meeting customer needs faster than ever before, meaning teams can turn their focus internally, allowing for more time spent on harnessing internal relationships and working collaboratively with other teams 🤩 ⬇️ ⬇️ ⬇️ https://buff.ly/3U4ZUtM #getsaasy #SaaSyAI #automation
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🚀Supporting organisations with top quality contractors in the technology sector. Also passionate about the LGBTQ+ community🌈, DE&I, and intersectionality!
AI is changing the contract market in 2023, but in what ways is AI impacting the market and what might the future hold? Tim Olsen, Director at Hays specialising in Technology and Intelligent Automation, shares his insights when it comes to the contractor roles that could be at risk and the various advantages and challenges of AI to be aware of.
How is AI changing the contract market in 2023?
Tim Olsen on LinkedIn
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Founder/CEO - DeepFabric: AI-as-a-service for mid-market enterprise | McKinsey | Kellogg MBA | Carnegie Mellon Engineer
PSA: I swim in AI running an AI startup, and we need to lower our expectations of off-the-shelf LLMs (like GPT-4o) for enterprise use cases beyond document chat, basic content creation, or administrative tasks. LLMs are probabilistic by nature. If objective accuracy is important to your business, off-the-shelf LLMs would not solve most business problems. If you are trying to generate consistent output with deterministic data, off-the-shelf LLMs will not work great. AI that can deliver on intermediate to complex business use cases driving business decisions comes in 3 primary flavors: custom models, fine-tuned models or hybrid AI tailored to specific use cases that your business cares about.
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CEO & Co-Founder at Trava
3wand please don't forget AI risk assessment against either NIST AI risk management framework or the ISO 42001 standard.