“…"Financial legend Barton Biggs' fictional account of the hedge world and the broader workings of Wall Street Barton Biggs' latest book is an inspirational rags to riches story of drive and financial talent. …”

“…Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with Amazon Bedrock…”

“…Arguing instead that while some aspects of the war did end abruptly in 1945, in many corners of the world ‘war’ bled directly and raggedly into the ‘postwar’ such as Allied Occupation in Italy, the civil war in Greece, the rise of US hegemony and struggles for national liberation in India. …”

“…The course concludes by introducing Retrieval-Augmented Generation (RAG) and LangChain, guiding you through the creation of applications like a storytelling app and an HR document reader that leverage these advanced techniques alongside the OpenAI API…”

“…You’ll discover the human stories and heritage behind centuries of shrimping, around the world; meet the most remarkable of the world’s 4,000 species of shrimp; come aboard ragged old shrimp boats, and spy on high-tech shrimp tanks; discover why shrimp may be a restaurant’s best friend, and a land speculator’s worst nightmare. …”

“…It shows that you can succeed with stories of rags-to-riches entrepreneurs, including the founders of Hewlett-Packard, who began their global enterprise from their garage. …”

“…The meteoric rise of Johnny Wimbrey is one of the great rags-to-riches / tragedy to triumph tales of our time. …”

“…Traveling was not for Benjamin the activity of the snob who imagines to know the world and dominate it by the journey alone, nor did he ever pronounce anything that would validate a kind of cultural authority regarding travel conceived merely as bourgeois entertainment: for him, knowing a city could not happen without getting lost in it, without moving alongside its ragged people. Faithful to his method, in the abandoned things, or in those declared worthless, he perceived the keys to his thinking ¡No exageramos! …”

“…You'll learn: Fundamentals and benefits of GPT-4 and GPT-3.5 models, including the main features and how they work How to integrate these models into Python-based applications, leveraging natural language processing capabilities and overcoming specific LLM-related challenges Examples of applications demonstrating the OpenAI API in Python for tasks including text generation, question answering, content summarization, classification, and more Advanced LLM topics such as prompt engineering, fine-tuning models for specific tasks, RAG, plug-ins, LangChain, LlamaIndex, GPTs, and assistants Olivier Caelen is a machine learning researcher at Worldline and teaches machine learning courses at the University of Brussels. …”

“…They have been guests on CBS's The Early Show , Fox and Friends , CNN, CNBC, The 700 Club , and PBS. Their book, Rags to Riches , was featured on Oprah's television show and hit two best-seller lists. …”

“…Politics, power, and religion collide in this story, wherein the Revolutionary Guards transform from a rag-tag militia established in the midst of revolutionary upheaval into a military and covert force with a global reach. …”

“…8:15: What are some of your favorite use cases? 13:30: RAG is the "hello, world" of AI applications. 17:24: How do you navigate between the desires and requirements of different stakeholders? …”

“…Do you often lose sleep ruminating over a tiny mistake or worrying about what someone else thinks of you? Do you run yourself ragged trying to do it all at home and at work, with a smile and not a hair out of place? …”

“…What you will learn Explore the generative AI landscape and foundation models in Amazon Bedrock Fine-tune generative models to improve their performance Explore several architecture patterns for different business use cases Gain insights into ethical AI practices, model governance, and risk mitigation strategies Enhance your skills in employing agents to develop intelligence and orchestrate tasks Monitor and understand metrics and Amazon Bedrock model response Explore various industrial use cases and architectures to solve real-world business problems using RAG Stay on top of architectural best practices and industry standards Who this book is for This book is for generalist application engineers, solution engineers and architects, technical managers, ML advocates, data engineers, and data scientists looking to either innovate within their organization or solve business use cases using generative AI. …”

“…19:00: Do you do Retrieval Augmented Generation (RAG) on your devices? 20:35: Our devices have user interfaces that combine voice and presence. …”

“…You'll also be guided through several real-world examples of applications, such as RAG and custom GPT agents. By the end of this book, you'll have gained the knowledge you need to start using Semantic Kernel to add AI capabilities to your applications. …”

“…What you will learn Build solutions with open-source offerings on Google Cloud, such as TensorFlow, PyTorch, and Spark Source, understand, and prepare data for ML workloads Build, train, and deploy ML models on Google Cloud Create an effective MLOps strategy and implement MLOps workloads on Google Cloud Discover common challenges in typical AI/ML projects and get solutions from experts Explore vector databases and their importance in Generative AI applications Uncover new Gen AI patterns such as Retrieval Augmented Generation (RAG), agents, and agentic workflows Who this book is for This book is for aspiring solutions architects looking to design and implement AI/ML solutions on Google Cloud. …”