Naga Sravya Sakam’s Post

In the continued process of demystifying generative AI this amusing slice of Cloud AI that everyone got into a brief kerfuffle over, here is a visual storytelling creation from the Financial Times. Welcome to the word salad generator known as the transformer. Here's a concise description of the process in scroll down form. Its cute. It will eventually become part of something bigger when we make better AI. This is just one small part of better things yet to be built. when this latest AI hype bubble is over, remember, LLMs and transformer are a useful incomplete tool that we'll find a better role for once the hype is gone and people look at it rationally. Right now its mostly a word salad generator for people who want to eat AI shit sandwiches. Don't let evangelists or hypesters feed you an AI shit sandwich. Generative AI isn't amazing, it's just another half done, over-hyped, broken tool waiting for a better use from rational people... in about 10-15 years. This is the reality of tech. Actual use is only found after the hype is gone, the bubble bursts and the stocks all drop. ----- Financial Times: "Generative AI exists because of the transformer. This is how it works. This is how it: Writes, Works, Learns, Thinks and Hallucinates" (By Visual Storytelling Team and Madhumita Murgia in London) (September 11, 2023) Financial Times: https://lnkd.in/gW4V8E6u "Research outlining the transformer model was first published by a group of eight AI researchers at Google in June 2017. Their 11-page research paper marked the start of the generative AI era." Google Summary: https://lnkd.in/gqwnmDUH #ai #fakeai #genai #degenai #generativeai #degenartiveai

What Schema is to Database, Knowledge Graph is to Generative AI Just as database schemas provide the structure and relationships that make data meaningful and actionable, knowledge graphs do the same for Generative AI. In the age of AI, knowledge graphs offer a way to organize and contextualize vast amounts of information, enabling AI models to not just generate data, but to understand and reason with it. The synergy between structured data and AI is where the future of smart, context-aware applications lies. #AI #KnowledgeGraphs #Innovation

Unlocking the Future with AI: Exploring LLMs and Generative AI I'm happy to share my latest article where I delve deep into the fascinating realms of Artificial Intelligence, focusing on Large Language Models (LLMs) and Generative AI. In this article, I cover: 🔹 Understanding Large Language Models (LLMs): These models, like GPT-3, have transformed how we process and generate human language. Discover their evolution, architecture, and applications across various industries. 🔹 Applications of LLMs: From text generation to translation, and even code generation, LLMs are making significant impacts in diverse fields, driving innovation and efficiency. 🔹 Generative AI: This technology goes beyond traditional AI by creating new content, such as images, music, and even product designs. Learn about GANs, VAEs, and the incredible possibilities they offer. 🔹 Real-world Examples: Explore how OpenAI's GPT-3, NVIDIA's StyleGAN, and DeepMind's AlphaFold are revolutionizing their respective fields. 🔹 Ethical Considerations and Challenges: Addressing biases, misinformation, intellectual property, and the environmental impact of AI development. 🔹 Future Directions: Enhancing efficiency, fostering creativity, and ensuring ethical use as we move towards a future enriched by AI. Read the full article here to explore how these groundbreaking technologies are shaping our world and what the future holds for AI-driven innovation. Let's harness the power of AI responsibly to drive positive change and create a better future #AI #MachineLearning #LLM #GenerativeAI #Innovation #Technology #Future #EthicsInAI #Sustainability #DeepLearning

Why AI Won’t Take Over The World Anytime Soon Discover why the fears of #AI taking over the world are unfounded, at least for the foreseeable #future. Learn about the current #limitations of AI #technology and the ongoing efforts to ensure it remains a tool for positive #change. https://lnkd.in/eR4qEc_U

Toolkit - Generative AI! Just completed a short course titled "Toolkit - Generative AI" developed by PwC Key takeaways: - Organizations need to build AI solutions that are both morally responsible and also legally and ethically defensible. - To build trust in AI systems, businesses must be enabled to explore the #data used to train the #models, expose the reasoning behind each decision, and provide coherent explanations to stakeholders promptly. - AI is a truly exciting and transformative technology, but it is important to remember it is not infallible. It is still emerging and we are still learning some of the ways it could go right and wrong #generativeai #genai #ai #toolkit #technology

We are back with session #4 of AI Broadcast series, our fortnightly event series where we explore the latest advancements, trends, and implications of AI. 🎉 Join us as we take a deep dive into the world of LLMOps. 🚀 Since their debut in 2023, LLMs have been reshaping industries, sparking innovation, and driving new possibilities. But with great power comes great complexity. As enterprises delve into LLM adoption, they're realizing the need for a strategic approach. Enter LLMOps – the backbone of deploying LLM applications at scale. It's not just about building models; it's about orchestrating the entire lifecycle seamlessly. Mark your calendars and join the conversation on Friday, 21st June 2024! #LLMs #LLMOps #AI #AIBroadcast #AryaXAI https://lnkd.in/dywkRu7B

AI Models Have an Expiry Date – Is Continual Learning the Solution? In a world where change is the only constant, traditional AI models face a challenge: they quickly become outdated. Continual Learning (CL) offers a way to address this by enabling models to adapt and evolve incrementally. Instead of retraining from scratch or risking catastrophic forgetting, CL methods maintain a balance between stability and plasticity, ensuring models retain valuable knowledge while adapting to new information. Curious about how CL can transform AI? Dive into the article by Alicja Dobrzeniecka on Towards Data Science to explore its potential and the future of AI adaptability.  https://lnkd.in/g6ABssYS #AI #ContinualLearning #MachineLearning #DataScience #Innovation

Here's an interesting insight on AI: Did you know that AI algorithms can now learn from their own mistakes and adapt to new situations, much like humans do? This concept, called 'meta-learning,' enables AI to develop a form of 'intuition' and make decisions even when faced with unfamiliar data. It's like AI is developing its own version of 'common sense'! As AI continues to evolve, we can expect to see more human-like intelligence and problem-solving capabilities. The future of AI is not just about processing data, but about learning, adapting, and innovating like never before! #AI #MachineLearning #FutureOfTech

The great debate: Can AI tell the difference between a latte and a cappuccino? In the age of artificial intelligence, the question of whether AI can differentiate between a latte and a cappuccino may seem trivial, but it speaks to a larger debate about the capabilities and limitations of machine learning. As an AI enthusiast, I believe that while AI has made significant strides in image recognition and pattern recognition, there are still challenges to overcome. So here's to embracing the debate and pushing the boundaries of what AI can achieve, one coffee order at a time. #AI #smarttech #Machinelearning