AI NOW podcast

• AI Agents

  Welcome back to AI NOW! In this episode, we dive deep intothe world ofAI Agents, exploring these intelligent assistants that are set to revolutionize how we interact with technology.AI agents are autonomous entities designed to perceive their environment, make decisions, and take actions to achieve specific goals. They're not just pre-programmed software; they are sophisticated systems that learn and adapt.We'll explore how AI agents are already impacting variousindustries:Customer service: AI-powered chatbots provide 24/7 personalized support, learning from eachinteraction to better understand customer needs.Healthcare: AI agents assist doctors in diagnosing diseases, analyzing medical images, personalizing treatment plans, and monitoring patients remotely.Finance: AI agents detect fraud, perform algorithmic trading, and manage risk by analyzing vast amounts of data.Manufacturing: AI agents optimize production, predict equipment failures, and manage supply chains, coordinating robots and machines.We also look atautonomous vehicles, which rely on AI agents to navigate roads safely.The episode will also cover the key steps in creating AIagents: Defining the agent's goal Designing the environmentChoosing a learning algorithm (like reinforcement or deep learning)Training the agent with data       Evaluation and refinement through testingWe'll also discuss the ethical considerations of AI agents,such as job displacement and bias.The podcast will also delve into theevolution of AIagents, moving beyond chatbots to fully autonomous agents that can set their own goals and execute plans. We are moving towards agents that are “embodied” in physical or virtual worlds.Large Language Models are centralto AI agents, providing them with natural language understanding and reasoning. We discuss howprompt engineering is crucial for guiding agent behavior and enabling learning from mistakes. We'll discuss how agentsare now being developed withlong-term memory, and howreinforcement of learning from human feedback is used to align agent behavior. Frameworks like LangChain and LlamaIndex, which help build applications with LLMs andconnect LLMs to external data, will be also discussed. Ethical considerations aroundbias, safety, and transparency are also addressed.We will also look at the5-level evolution of AI agentsmoving from generalist AI, subject-matter experts, to autonomous AI agents, AI innovators, and finally to AI-first organizations. The current trend is that AI is moving from co-pilots where humans take action toauto-pilots whereAI agents take action. The future of AI is about agents with the capacity to innovate and that requires building trust through explainability and infrastructure. AI organizations will be capable of wide-ranging action and will be able to self-select which goals are optimal and design a path to getthere.We will cover how AI agents are being used in manufacturing, including howvirtual AI agents enhance digital systems andembodied AI agents equip robots to act in the physical environment. We look at AI’s role in real-time decision-making, near-autonomous systems and seamlesshuman-machine collaboration. While there are challenges, like trust and integrating legacy systems, the potential for AI agents to revolutionize manufacturing is immense.We're at a tipping point, where AI agents are joining theworkforce and transforming how companies operate. You will be hiring, building, and competing with AI agents. If you found this episode insightful and want to support thepodcast, please consider buying me a coffee athttps://buymeacoffee.com/ainowpodcastPlease don't forget to subscribe to the AI NOW podcast so you don't miss outon future episodes!#ArtificialIntelligence #AINow #AGI #EthicalAI#MachineLearning #aiagent #ai  #Podcast #TechPodcast #AIresearch

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• DeepSeek’s AI Revolution

  Get ready for an in-depth exploration of one of the most exciting players in the AI world in this episode of AI NOW! We're diving deep into DeepSeek’s AI Revolution, a Chinese AI company that’s making waves with its cutting-edge models, ethical approach, and bold vision for the future of AI. In this episode, you’ll learn about: DeepSeek is not just innovating for the sake of innovation; they're innovating to make a real impact. They are working to make AI more accessible to everyone, from individuals to small businesses. If you're as excited about the future of AI as we are, we need your support to continue bringing you high-quality content like this. Consider buying us a coffee over at Buy Me a Coffee: https://buymeacoffee.com/ainowpodcast. Every little bit helps! Don't forget to subscribe to AI NOW so you never miss an episode. Music by EVGENY from Pixabay Music by Ievgen Poltavskyi from Pixabay Music by Aleksandr Abrosimov from Pixabay #DeepSeek #ArtificialIntelligence #AINow #AGI #EthicalAI #MachineLearning #MultimodalAI #Innovation #Podcast #TechPodcast #AIresearch  

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• Generative AI: Transforming Industries

  Generative AI: Transforming Industries (AI NOW Podcast, Episode 6) Welcome to Episode 6 of the AI NOW Podcast, where we delve into the revolutionary world of Generative AI and its profound impact on various industries. In this episode, we explore how Generative AI is reshaping businesses across sectors, from retail giants like Amazon and Starbucks to industrial powerhouses like AB InBev. Discover how companies are leveraging AI to:     Enhance customer experiences with personalized recommendations and seamless interactions. Boost productivity by automating tasks, streamlining workflows, and optimizing operations. Drive innovation by generating creative content, designing new products, and making groundbreaking discoveries in fields like healthcare and media. We'll also discuss the critical role of multimodal AI in unlocking the full potential of Generative AI. By combining data from diverse sources like text, images, and video, businesses can gain deeper insights and create more intelligent solutions. Join us as we uncover real-world examples of how leading companies are already reaping the benefits of Generative AI. Tune in to Episode 6 and gain valuable insights into the future of AI and its transformative power! Support the show and help us create even more insightful content: Buy Me a Coffee: https://buymeacoffee.com/ainowpodcast Patreon: Coming soon #AI #GenerativeAI #AIInnovation #DigitalTransformation #CustomerExperience #BusinessIntelligence #DataScience #MachineLearning #Podcast #AINOWPodcast

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• Prompt Engineering: A Comprehensive Guide

  In Episode 5 of the AI NOW podcast, we'll explore the fascinating world of prompt engineering. Prompt engineering is becoming more and more important as AI models advance. Think of prompt engineering like talking to AI. The way you phrase your requests can affect how good and useful the AI's answers are. What is prompt engineering? In short, prompt engineering is making good instructions for AI models. This is especially true for large language models (LLMs) like GPT-3 or Bard. It's about knowing how these models work and using that knowledge to get the results you want. Why is prompt engineering important? Better Results: Good prompts get more accurate, relevant, and insightful answers from AI. More Efficiency: Knowing how to talk to AI effectively saves you time and effort. Unlocking Creativity: Prompt engineering can help AI models be more creative, letting you come up with new ideas, write interesting stories, and even compose music. Real-world Examples of Prompt Engineering Someone might ask for a dinner recommendation in Seattle but not provide enough context, leading to a lot of back and forth. A better prompt would be "Hey, I'm at the office on Main Street in Bellevue. What's a good Italian place near me for dine-in tonight?" Someone might ask for "a picture of a parrot". A better prompt would be "a surrealist image of a tropical parrot in a top hat with the city skyline reflected". The Future of Prompt Engineering Prompt engineering will become even more important as AI models improve. We can expect more advanced techniques and tools to help people make better prompts. Tune in to Episode 5 of AI NOW to dive deep into the world of prompt engineering and learn how to unlock the full potential of AI. #PromptEngineering #AI #ArtificialIntelligence #LLMs #ChatGpt #

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• The Future of AI

  In this episode of the podcast, we will dive deep into the The Future of AI, exploring its potential to transform industries, redefine work, and reshape our lives. We will explore the explosive growth of massive context windows in large language models like ChatGPT and Google Gemini. These advancements allow AI to process vast amounts of information, enabling them to understand and respond to complex queries like never before. We'll examine the remarkable impact of AI on various fields, such as interior design, medicine, agriculture, sustainability, and autonomous transportation. Get ready to be amazed by real-world examples of how AI is already revolutionizing the way we live and work. Join us as we discuss the profound implications of AI for the future of work. While AI is expected to drive significant occupational transitions, it also promises the creation of new industries, business models, and jobs. We'll explore the skills and strategies needed to thrive in this AI-driven future. Prepare to be intrigued by the rise of small language models and their potential to become seamlessly integrated into the applications and devices we use daily. This shift will make AI interactions more natural and intuitive. We'll also delve into the evolving role of product managers in an AI-driven world. Discover the essential skills, knowledge, and ethical considerations they need to navigate this rapidly changing landscape. Tune in to gain valuable insights into the future of AI and how it will shape our world. #AI #ArtificialIntelligence #chatgpt #gemini

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