Faridul Hasan Shuvo’s Post

The Rise of AI Titans – The 3Ls: Language, Action, and Vision, Shaping the Future of AI. Imagine a world where #AI can not only understand your words but also translate them into real-world actions. This is the exciting frontier of "Large" AI models – powerhouses of artificial intelligence pushing the boundaries of what's possible. Today, let's delve into three key players in this revolution: Large Language Models (#LLMs), Large Action Models (#LAMs), and Large Vision Models (#LVMs).   1. The Towering Giants: Large Language Models Imagine a digital oracle that can converse with you, pen poetry, and even draft legal documents—all with the eloquence of a seasoned wordsmith. Enter the Large Language Models (LLMs). These behemoths, trained on vast amounts of text data, have transcended mere chatbots. They’re the literary wizards behind your favourite virtual assistants, like ChatGPT. 2. Action Unleashed: Large Action Models Close your eyes and envision an AI that can plan your holiday, book a flight, taxi and hotel. These feats aren’t magic; they’re the handiwork of Large Action Models. These models, like the ones developed by Rabbit R1 and Adept ACT-1, are trained to perform specific tasks. 3. Visionaries of Pixels: Large Vision Models Now, let’s dive into the world of pixels and patterns. Large Vision Models (LVMs) are the artists behind image recognition, object detection, and medical diagnostics. Vision models, such as those used in autonomous vehicles and facial recognition systems, are also benefiting from the power of scale. These models can accurately identify objects, navigate complex environments, and even detect emotions. Imagine a world where traffic accidents are virtually eliminated, and security systems can identify suspects with unprecedented accuracy. Landing.ai, leverages LVMs to drive accurate, consistent defect detection in manufacturing processes – and reap the benefits of improved quality control processes, profitability, and production success. Domain specific LVMs in Healthcare: These are LVMs tailor developed with images different from internet.  LVMs trained on internet images may not highlight important aspects as required in pathology. Imagine a radiologist with LVMs, analysing medical images, spotting anomalies invisible to the human eye. The potential applications of large AI models are limitless. From #personalizedmedicine to #gobalwarming mitigation, these models have the power to transform every aspect of our lives. As we continue to explore the capabilities of AI, it's crucial to consider the #ethical implications and ensure that these technologies are used responsibly. Dear reader, as we traverse the AI landscape, let’s pause and reflect. What other emerging AI applications have you encountered? Is it autonomous vehicles, or perhaps AI-generated art? Share your insights below. The future awaits, and let’s shape it together. https://lnkd.in/ggDzDHRy

I enjoyed reading this article. According to McGuire, generative AI has the potential to improve business productivity and efficiency rather than lead to job losses. Many jobs indeed consist of various tasks, some of which can be handled efficiently by AI, while others may still require human intervention. However, what perplexes me is how to raise awareness about the enormous potential of generative AI in transforming industries and our daily lives. If more people were aware of the possibilities of AI, they would be more likely to embrace it and work towards integrating it into various aspects of their lives. #genai

Thanks for sharing Jon! I'll bet this will be on every strategy leaders minds over this summer! 68 pages of insights from a top global business consulting group that will definitely help shape the future of where this is applied. Happy reading! #business #ai #strategy

Demystifying generative AI: Identifying the risks and benefits

Concerning AGI (ChatGPT specifically), a colleague recently said: > There’s also a growing awareness that these programs are prone to hallucinations, where by they confidently deliver statements that have no basis in reality. I like metaphors too. However, the Segue and AGI? The only commonality is that AGI creates a straight line between you and the knowledge you want; the Segue brings you quicker to the location you need to be. There's also a growing awareness that: (a) These programs are intended to be demonstrations, not apps. Anyone who is resigned to the idea that ChatGPT is an app has missed the big ah-ha moment... natural language is a UI. The killer "apps" lay inside the unbounded and unrefined demonstrations, ready to be carved up like a block of clay. (b) Eliminating hallucinations and other calamities so easily coaxed from the demonstration UIs is readily achieved using existing and well-known software engineering techniques and AI itself. (c) We cannot CHAT our way to hyper-productivity, yet the measure of AGI's future is often based on demo apps that are ostensibly an extension of texting. We must assess AGI for what it can be, not what it does in a single UI instance created by a single purveyor of one LLM. The Segue is a fixed physical device. It cannot be re-shaped to meet vastly unique requirements. It failed because it had near zero agility.