memra的动态

Successful AI implementation will require careful navigation of technical, ethical and regulatory challenges.

Explore the evolution of AI beyond generative models. Learn how synthesis AI is revolutionizing industries like insurance by providing tailored insights and decision-making support. Discover the potential of personalized AI solutions in transforming workflows. #futureofinsurance #insurance https://lnkd.in/g-sJCuq4

Multimodal AI: The Next Frontier in Artificial Intelligence #MultimodalAI #ArtificialIntelligence #AIRevolution #NextFrontier #MachineLearning #AIIntegration #DeepLearning #AIInnovation #FutureOfAI #AIandData #TechnologyTrends #AIApplications #TechUnity

Multimodal AI: The Next Frontier in Artificial Intelligence #MultimodalAI #ArtificialIntelligence #AIRevolution #NextGenAI #AIInnovation #MachineLearning #AIIntegration #FutureOfAI #AIResearch #DeepLearning #TechTrends #AIApplications #TechUnity

What’s next after Generative AI? The next phase of AI-powered tools, Synthesis AI, is even more impressive. This article explains what it is and why it’s exactly what the insurance industry needs. #insurancetechnology #insurancetransformation https://lnkd.in/g-sJCuq4

Check out this article I wrote about testing Agentic AI!

What Are AI Agents? Here's how AI agents work, why people are jazzed about them, and what risks they hold.

Interesting read on lessons learned from an AI chatbot that didn't work out, which highlights the tensions between building your own LLM solution when you can build a custom GPT at minimal cost. Whilst failure is always disappointing it's so important that we talk about it like this. https://lnkd.in/edW32yB7

This article was posted by Unsupervised Learning's Daniel Miessler on his Substack nearly three months ago. I've been learning from following you, Daniel, since 2019. I've been cognizant of Machine Learning and AI since the 1980s because of the CS/EE peeps I called friends, roommates and the Masters Thesis I copyedited and proofread. The labor-intensive program that was the working protoptye and centerpiece of that thesis could generate good, better, and best designs for "a wall shelf" based on specifications and requirements. (An AI-assist could write that program a lot faster now. This I know.) Its brilliant and humble author would work for Lockheed Martin and who knows what all they have contributed to. I'm sure A LOT. **** Since publication in late June, I have returned to this UL article for a "gut check" after more dramatic news about AI developments and user concerns dominates a cycle. My curiosity is especially piqued where the education of younger people is concerned. What future work can be guaranteed to need human creativity and peculiarities? I continue to have the same "existential" question for the business community so eager to embed AI everywhere: What then is mine (as a human) to do? I do like the idea of swapping the term AI for Intelligence Tasks. I would like to believe that human-generated creativity and service in roles optimal for humans, not machines, will always sustain its value in the world. Mr. Miessler, what will the new reality look like in the 2030s and beyond? How might the application of GenAI pivot and be #AIforgood with greater accountability? I'll be following you and other thought leaders with curiosity and discernment. Thank you for being a thoughtful writer and philosopher who lives in harmony with technology.

AI Agents vs AI Chatbots I am seeing a lot of people having confusion on AI Agents. I thought to explain it for your help. The AI chatbots uses NLP to break your query into - Intent - Entities. The Intent determines which API or Function to call in your program, while Entities are the variables. Example, DialogFlow, Watson etc. On the other hand in case of AI Agents, the main point is Autonomy. Just like humans, the AI Agents will use tools to determine the environment, the Context and the database. For example, If you ask an Traditional AI Chatbot to book a flight to California, it might be asking for the details like your name, Passport numbers etc. And book it for you. But if it is an AI Agent, it might say Hey, I can see you generally prefer to use Frontier for flights during weekend, but I see there is a surge in its pricing for this week. Do you want me to book the same or want to go with American Airlines which might cost you as per regular ? Here the main benefit is it can identify your context, it can look into your previous bookings, It can check the prices and finally help you to do the booking. New Agents have. .. - The Context - The Database - The tools It still uses Intent and Entities to do the actual tasks, but it adds to it.