Llm coursera. ChatGPT Prompt Engineering for Developers: DeepLearning.

In this module you will learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. As the course unfolds, learners will work Mar 21, 2024 · Transfer learning in large language models (LLMs) is the process LLMs use to apply their prior knowledge to new tasks. Getting a Coursera certificate is affordable (ranging from $234 to $600) and a great way to build new skills. This course begins with an introduction by LangChain's lead maintainer, Jacob Lee, providing a foundational understanding directly from an expert's perspective. In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. Chapters 1 to 4 provide an introduction to the main concepts of the 🤗 Transformers library. EncoderとDecoder. 또한 자체 생성형 AI 앱을 개발하는 2. Suppose an average report contains roughly 6,000 words. Self Attentionによりモデルの言語理解が向上した. Description: The Full Stack LLM boot camp is an industry-relevant course that covers topics such as prompt engineering techniques, LLM fundamentals, deployment strategies, and user interface design, ensuring participants are well-prepared to build and deploy LLM applications. Using the OpenAI API, you’ll be able to quickly build capabilities that learn to innovate and create value in ways that were cost-prohibitive, highly technical, or simply impossible before now. You will become familiar with the concept of foundation models. You will also get access to labs and projects using BigQuery ML, Keras, TensorFlow, and Looker. By the end of this 1. Explore architectural patterns like Retrieval-Augmented Generation About this project. In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. A massive volume of sample text pulled from web pages and program code before the end of 2021. cpp example server to expose a large language model through a set of REST API endpoints for tasks like text generation, tokenization, and embedding extraction. Ng has changed countless lives through his work in AI, authoring or co-authoring over 100 research papers in machine Use API access to leverage LLMs into your own applications, and learn to build a custom chatbot. A World-Class MBA Under $24,000. Additionally, a student will learn to master running local large language models like Mixtral via Hugging Face Candle and Mozilla llamafile. In this hands-on-course, learners will gain the necessary skills for building and responsibly deploying a conversational AI application. In the course, you will work on hands-on projects to build chatbots and apps by utilizing Este é um curso de microlearning de nível introdutório que explica o que são modelos de linguagem grande (LLM), os casos de uso em que podem ser aplicados e como é possível fazer o ajuste de prompts para aprimorar o desempenho dos LLMs. This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM solutions for a diverse range of topics. intellectual property rights, including patents, copyrights, and trademarks, and their various applications to human innovations. We will develop an LLM-powered question-answering application using LangChain, Pinecone, and OpenAI for custom or private documents. The learning path on generative AI, covering LLMs and In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework. Andrew Ng has been very vocal about promoting people to learn and adapt to generative AI. Practice common prompt engineering techniques and approaches for writing effective prompts. The large language model (LLM) was trained using a combination of two major inputs: 1. Jeff will also walk you through an exercise that enables you to use AI to anticipate how your role may evolve in the future. " Chris is also the founder of the global "Generative AI on AWS" Meetup series. This groundbreaking 4-week course is designed specifically to train you in Large Language Model Operations (LLMOps) using Rust. Apply best practices for creating prompts and explore examples of impactful prompts. Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. This course is designed for a wide audience, from AI enthusiasts and software developers to data scientists and technology strategists seeking to deepen their expertise in generative AI and LLMs. There is 1 module in this course. 5 hour long project, you will be able to optimize Tensorflow models using the TensorFlow integration of NVIDIA's TensorRT (TF-TRT), use TF-TRT to optimize several deep learning models at FP32, FP16, and INT8 The LLM course is divided into three parts: 🧩 LLM Fundamentals covers essential knowledge about mathematics, Python, and neural networks. Kursus ini juga membahas beberapa alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri. After taking this course, you’ll know how to: - Generate structured output, including function calls, using LLMs; - Use LCEL, which simplifies the customization of chains and agents, to build applications; - Apply function calling to tasks like tagging and data extraction; - Understand tool selection and routing using LangChain tools and LLM Jun 28, 2023 · This is the first comprehensive Coursera course focused on LLMs that details the typical generative AI project lifecycle, including scoping the problem, choosing an LLM, adapting the LLM to your domain, optimizing the model for deployment, and integrating into business applications. 6 stars If you want to learn machine learning from one of the pioneers in the field, check out Andrew Ng's Machine Learning Collection on Coursera. 7. By taking this course, you'll learn to: Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment. Jun 29, 2023 · KL divergence encourages large updates to the LLM weights to increase differences from the original model. LangChain Chat with Your Data: DeepLearning. DeepLearning. Choose the answer that correctly fill in the blanks. Any text input to an LLM is a prompt, and the LLM produces a response based on This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs). Contextual embeddings in large language models represent words or phrases based on their context in a sentence, capturing nuances and meaning Coursera Project Network. 3. Neural Networks and Deep Learning. These are the course notes from the "Generative AI with LLM" course on Coursera (by Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment Describe in detail the transformer architecture that powers LLMs, how they’re trained, and how fine-tuning enables LLMs to be adapted to a variety of Generative AI: Boost Your Cybersecurity Career. Drawing from that knowledge, you will then work to develop a trademark strategy for a company, analyze a Jul 17, 2023 · A Finance-Focused LLM: BloombergGPT serves as a prime example of a specialized LLM in the financial domain. Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning, Machine Learning Algorithms, Python Programming, Computer Programming, Network Architecture, Network Model, Calculus, Human Learning, Regression, Linear Algebra, Mathematics. C. Generative AI with Large Language ModelsThe arrival of the transformers architecture in 2017, following the publication of the "Attention is All You Need" paper, revolutionised generative AI. - amruthaa08/Generative_AI_LLMs JavaScript is the world’s most popular programming language, and now developers can program in JavaScript to build powerful LLM apps. Build your negotiation, mediation, and arbitration skills for public policy, law, health care, or human resources roles. Introduction to Large Language Models: Google Cloud. The applications will be complete and we'll also contain a modern web app front-end using Streamlit. transformerのアーキテクチャは2つのパーツに分けられる。. Use OpenAPI specifications to build function calls that can access web services. Jan 30, 2024 · Well-known companies like Google, IBM, and Meta offer the certificate programs that made it to our top-15 list. It takes around two years of full-time study to earn. You'll utilize Python, along with related libraries like Flask and Gradio, and frameworks such as Langchain. AI. This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. There are 3 modules in this course. tunable request, completion. Fill in the blanks: When fine-tuning a large language model with human feedback, the action that the agent (in this case the LLM) carries out is ____ and the action space is the _____. This course will show webdevs how to expand their toolkits with LangChain. Nov 29, 2023 · 4. 9. 7 (468 ratings) Explain the concept and relevance of prompt engineering in generative AI models. Module 1 • 35 minutes to complete. This course doesn't just scratch the surface; it takes a deep dive into how you can integrate Rust with sophisticated LLM frameworks like HuggingFace Transformers. Describe in detail the transformer architecture that powers LLMs, how they’re trained, and how fine-tuning enables LLMs to be adapted to a variety of Bio. Drawing on the contributions of several academic disciplines including law, psychology, sociology, history, educational and health sciences, economy and anthropology, an interdisciplinary approach guides the student into a selection of critical issues concerning children’s rights. Question 5. Read reviews to decide if a class is right for you. When you complete this course, you will be able to: Understand when to apply This course is meticulously designed to navigate learners through the process of building AI applications utilizing the LangChain library. Use an LLM with multiple function calls, including parallel and nested function calls. You will explore the capabilities of generative AI in different domains, including text, image, audio Module 1•35 minutes to complete. Business leaders and their L&D partners play a critical role in building foundational generative AI literacy and high-impact skills to help propel the organization forward. This is a hands-on, guided project on optimizing your TensorFlow models for inference with NVIDIA's TensorRT. To get the most out of this course, you'll need access to the OpenAI API Key and a basic Introduction to Artificial Intelligence (AI) Skills you'll gain: Algorithms, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Deep Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Critical Thinking, Natural Language Processing, Data Science. . This prompt engineering course is a unique opportunity to delve into the world of ChatGPT and Large Language Models (LLMs). 2. Designed by Andrew Maynard, an expert in transformative technologies, this course equips students with the skills needed to harness the power of ChatGPT effectively. Build career skills in data science, computer science, business, and more. Gain hands-on experience with both manual and automated LLM red-teaming methods. This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. In this course, you will learn about the fundamentals and evolution of generative AI. También abarca las herramientas de Google para ayudarte a desarrollar tus propias aplicaciones de IA generativa. The Jul 5, 2023 · 대규모 언어 모델 소개. 5 model and retrain a new large language model (LLM) that is capable of extracting the necessary information from a given customer complaint in the desired format. Join for Free. prompt, completion. Ini adalah kursus pengantar pembelajaran mikro yang membahas definisi model bahasa besar (LLM), kasus penggunaannya, dan cara menggunakan prompt tuning untuk meningkatkan performa LLM. This curriculum is meticulously crafted to build proficiency in Python programming, essential for any AI endeavor, and to foster a deep There are 3 modules in this course. Module 1 • 9 hours to complete. 21 videos 16 readings 3 quizzes 1 assignment 1 discussion prompt 1 ungraded lab. 5 You are working on using an LLM to summarize research reports. 👷 The LLM Engineer focuses on creating LLM-based applications and deploying them. This specialization exploes the foundations of large language models (LLMs), their diverse applications, and the ethical considerations crucial for responsible AI development and deployment. 4. May 28, 2024 · We'll build together, step-by-step, line-by-line, real-world LLM applications with Python, LangChain, and OpenAI. 大型语言模型简介. Please note that this is not a course for beginners. Fine Tuning Large Language Models - Coursera This comprehensive course is designed to teach you how to QUICKLY harness the power the LangChain library for LLM applications. 7,000+ courses from schools like Stanford and Yale - no application required. AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University. You will learn about GANs, VAEs, transformers, and diffusion models; the building blocks of generative AI. AI and Andrew Ng is a comprehensive deep dive into the world of LLMs covering the entire LLM project lifecycle including Model Selection, Model Pre-training, Model Fine Tuning, PEFT, Prompt Tuning, RLHF Skills you'll gain: Regulations and Compliance, Leadership and Management, Innovation, Strategy, System Security, Critical Thinking, Data Management, Risk Management, Strategy and Operations, Research and Design. In this course you will learn and get experience with the following topics: Models, Prompts and Parsers: calling LLMs, providing prompts and parsing Local LLMOps. Self Attention: 入力された文における単語の関係の強さを全て学習する機構. Jul 10, 2023 · The "Generative AI with Large Language Models" course by Antje Barth, Chris Fregly, Shelbee Eigenbrode and Mike Chambers, offered by Amazon Web Services (AWS) in collaboration with DeepLearning. AI is an education technology company that develops a global community of AI talent. Large Language Model Operations (LLMOps): Duke University. Describe in detail the transformer architecture that powers LLMs, how they’re trained, and how fine-tuning enables For added assurance, browse the course reviews or take advantage of Coursera's 7-day free trial to get firsthand experience of the course's content. 6. 该课程还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。. A Master of Dispute Resolution (MDR) is a graduate degree with coursework that focuses on conflict resolution. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and There is 1 module in this course. Approximately how many tokens would it take an LLM to process 6,000 input words? (Assume 1 token = 3/4 words, or equivalently, 1 word \approx 1. This course introduces learners to Snowflake as a platform for building applications, data pipelines, and AI models and workflows. ChatGPT Prompt Engineering for Developers מבוא למודלים גדולים של שפה (LLM) Module 1•35 minutes to complete. Earlier this month, he also released three new generative AI courses There is 1 module in this course. This hands-on course will teach you to build an end-to-end RAG system with your own data using open Apr 18, 2024 · Prompt patterns are an aspect of prompt engineering designed to elicit your desired response from a large language model (LLM) like ChatGPT. Processing the prompt, context window. このモジュールでは、大規模言語モデル（LLM）とは何か、どのようなユースケースで活用できるのか、プロンプト調整で LLM のパフォーマンスを高めるにはどうすればよいかについて学習します。. NLP: Twitter Sentiment Analysis. We'll also explore how to effectively deploy these The course focuses on the core concepts and generative AI models that form the building blocks of generative AI. In summary, here are 10 of our most popular large language models courses. From pre-training to deployment, the lifecycle of any generative AI project can be divided into five distinct stages. You will explore deep learning and large language models (LLMs). (14K reviews) Apr 11, 2024 · Getting started with Coursera. This four-week course titled AI and Law explores the way in which the increasing use of artificially intelligent technologies (AI) affects the practice and administration of law defined in a broad sense. AI and AWS. ジェネレーティブ AI Chris Fregly is a Principal Solutions Architect for Generative AI at Amazon Web Services (AWS) based in San Francisco, California. Coursera’s GenAI Academy helps unlock innovation and productivity for global workforces. Jeff will explain the methods and guide you through hands-on exercises leveraging Coursera’s Playground labs, a private sandbox where you can interact with a powerful large-language model (LLM), side-by-side with Jeff. This will help ensure that the course advances your career and fulfills your needs for enhanced Large Language Models proficiency. As a form of artificial intelligence, LLMs can process a tremendous amount of data, and they use deep learning to access that data to generate and predict human language. 這個單元說明大型語言模型 (LLM) 的定義與用途，以及如何調整提示來提高 LLM 成效，並介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。. With the iMBA, you'll save substantially on your total cost while pursuing an MBA from a leading program. He regularly speaks at AI and Machine Learning Aug 6, 2023 · Transformers architecture | Coursera. Prompt Engineering for ChatGPT: Vanderbilt University. Subject matters discussed include the connection between AI and Law in the context of legal responsibility, law-making, law There is 1 module in this course. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts. This comprehensive course equips you with skills to leverage Azure for building and deploying Large Language Model (LLM) applications. Through the courses in this specialization, you will learn the differences between the various forms of U. Course 3 • 9 hours • 4. 大型語言模型簡介. Master the world of Large Language Models through this comprehensive specialization from Coursera and Duke University, a top Data Science and AI program. This IBM AI Developer Professional Certificate will equip you with sought-after expertize in building AI-powered chatbots and apps and enable Been with Coursera since 2013 when it was free and converted to monthly subscription for individual specialization/verified cert, then to Coursera+ subscription. You will better understand the ethical use of artificial intelligence, the implications of authorship, and how tools like ChatGPT might be utilized and regulated moving forward Course 2 • 7 hours • 4. Ele também aborda as ferramentas do Google que ajudam no desenvolvimento dos apps de IA generativa. Designed for everyone, executives, and their teams, each curated catalog features Learn LLM (Large Language Model), earn certificates with paid and free online courses from Stanford, MIT, University of Michigan, Duke and other top universities around the world. On Coursera, you can improve your technological and artificial intelligence literacy through courses like Generative AI with Large Language Models. 이 모듈에서는 대규모 언어 모델 (LLM)이란 무엇이고, LLM을 활용할 수 있는 사용 사례로는 어떤 것이 있으며, 프롬프트 조정을 사용해 LLM 성능을 개선하는 방법을 알아봅니다. It also covers Google tools to help you develop your own Gen AI apps. This course provides an opportunity to work on guided projects that provide step-by-step instructions to build generative AI-powered applications. יחידת הלימוד הזו בוחנת מהם מודלים גדולים של שפה (LLM), איך משתמשים בהם בתרחישים שונים לדוגמה ואיך אפשר לשפר את הביצועים שלהם באמצעות Feb 29, 2024 · Coursera has experienced consistent revenue growth and achieved its first positive EBITDA in Q4 2023. Professional Certificate - 10 course series. The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning. Learners will gain the skills to serve powerful language models as practical and scalable web APIs. In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications. 本单元探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能。. When you complete this course, you can earn the badge displayed here! - Critically assess LLM performance, employing robust evaluation strategies to ensure your AI solutions are both effective and ethically aligned. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression In this 2-hour project-based course, you will learn how to import data into Pandas, create embeddings with SentenceTransformers, and build a retrieval augmented generation (RAG) system with your data, Qdrant, and an LLM like Llamafile or OpenAI. As Artificial intelligence (AI) and generative AI revolutionize our world, the demand for AI Software Developers with the right cutting-edge skills is soaring. js, a popular JavaScript framework for building with LLMs, and will cover useful concepts for creating powerful, context-aware There are 4 modules in this course. Interacting with Large Language Models (LLMs) differs from traditional machine learning models. What's included. AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future. You’ll be equipped to incorporate the latest techniques to optimize your model and produce transformative results. This week, you will learn mitigation strategies, evaluate task performance, and operationalize workflows by identifying risks in notebooks and deploying an LLM application. Andrew Ng is Founder of DeepLearning. Jun 29, 2023 · Question 1. It also covers Google Tools to help you develop your own Gen AI apps. Apr 13, 2023 · Coursera’s response to the humanitarian crisis in Ukraine; Coursera announces 3 new job-relevant degrees from leading universities; Coursera doubles down on Middle East with new leadership, content and platform features; Coursera Women and Skills Report indicates a narrowing gender gap in online learning; Coursera accelerates India growth plans This learning path offers a comprehensive introduction to generative AI. ChatGPT Prompt Engineering for Developers: DeepLearning. We would like to show you a description here but the site won’t allow us. Aug 15, 2023 · LLMのfine tuningといえばほぼこれ; 指示と答えのセットをdatasetとして作る。適切なlossでbackpropagationする; full fine-tuning; Fine-tuning on a single task | Coursera. Discover the best courses to build a career in AI | Whether you're a beginner or an experienced practitioner, our world-class curriculum and unique teaching methodology will guide you through every stage of your Al journey. (121K reviews) Intermediate · Course · 1 - 4 Weeks. It uses massive data sets to develop its ability to translate languages, predict text, and generate content. 8 (18 ratings) Explain the fundamental concepts of Generative AI and its significance in cybersecurity. The quality of the output is linked to the quality and depth of the prompt and the LLM it Q. He is co-author of two O'Reilly Books: "Data Science on AWS" and "Generative AI on AWS. In the age of artificial intelligence (AI), it is essential to learn how to apply the power of large language models (LLMs) for building various production-ready applications. 333 tokens). Specialization - 3 course series. Get an overview of fundamental LLM application vulnerabilities and how they affect real-world deployments. 6. Prompt patterns allow for the advent of prompt engineering, a growing field in interacting with and getting results from LLMs. Apply generative AI techniques to real-world cybersecurity scenarios, including UBEA, threat intelligence, report summarization, and playbooks. Learn to use Azure OpenAI Service for deploying LLMs, utilizing inference APIs, and integrating with Python. Applied Learning Project. By the end of this part of the course, you will be familiar with how Transformer models work and will know how to use a model from the Hugging Face Hub, fine-tune it on a dataset, and share your results on the Hub! In summary, here are 10 of our most popular large language models courses. 🧑‍🔬 The LLM Scientist focuses on building the best possible LLMs using the latest techniques. Start your machine learning journey today with Andrew Ng Introduction to Generative AI. 500-1000 examples for single task leraning; Catastrophic forgetting : fine-tuningの結果、元々のモデルが持っていた性能が落ちて DeepLearning. AI and Stanford Online. If a scheduling conflict arises, you are free to take a Mar 26, 2024 · ChatGPT uses natural language processing (NLP), an AI technology that deals with understanding, analyzing, and generating human-like language. Jun 29, 2023 · Andrew Ng said that this course aims to demystify the subject and equip learners with the knowledge and skills required to confidently harness the potential of LLMs in their endeavours. All certificates are globally recognized and worth pursuing in 2024. Finetuning Large Language Models: DeepLearning. Learning about generative AI models and how and when to use them is an important skill if you are working in a digitally-centered industry. Using the OpenAI API, you’ll be able to quickly build capabilities that learn to innovate and Generative AI with Large Language Models on Coursera offered by Deeplearning. Jan 15, 2024 · The free course on Coursera is like an AI 101 as it covers the basics and practical stuff for an in-depth understanding of how these generative AI models actually work. S. Your role as an AI engineer is to use the OpenAI API and Python to fine-tune the GPT-3. This course will provide There are 6 modules in this course. About this Course. En este módulo se explora qué son los modelos de lenguaje extensos (LLM), sus casos de uso y cómo se puede utilizar el ajuste de los mensajes para mejorar el rendimiento de los LLM. Pay-as-you-go You pay tuition only for courses you're enrolled in. $23,904 USD tuition total Tuition for other MBA programs can easily exceed $200,000. Dive into topics ranging from generative AI techniques to open source LLM management across various platforms such as Azure, AWS, Databricks, local infrastructure, and beyond. Apr 18, 2024 · Learn how large language models change the way that artificial intelligence communicates. There are 7 modules in this course. Working with LLMs involves natural language input, known as a __, resulting in output from the Large Language Model, known as the __ _ . BERT is a pre-trained large language model developed by Google, based on the Transformer architecture, and designed to understand bidirectional contextual relationships in text. They will learn how to use the llama. As a pioneer both in machine learning and online education, Dr. Large language models (LLMs) are a type of artificial intelligence (AI) that uses machine learning algorithms to replicate human language. In this short course, you’ll learn essential finetuning concepts and how to train a large language model using your own data. This Teach-Out introduces learners to artificial intelligence and explains how large language models and chatbots like ChatGPT work. 8. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference. (456 reviews) Intermediate · Specialization · 3 - 6 Months. The instructors, Antje Barth, Shelbee Eigenbrode, Mike Chambers, and Chris Fregly, will break down the latest research and show you how companies are actively building LLMs. Contextual Embeddings. Master of Dispute Resolution. This allows you to create complex agent workflows where an LLM plans and executes a series of function calls to achieve a goal. Developed by Bloomberg researchers, this model combines finance-specific data with Introducción a los modelos de lenguaje extensos. inputsは数字なので、文字をtokenize Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment Describe in detail the transformer architecture that powers LLMs, how they’re trained, and how fine-tuning enables LLMs to be adapted to a variety of The Learn Generative AI with LLMs Specialization offers a deep dive into the evolving world of artificial intelligence, specifically focusing on Natural Language Processing and Generative AI models. These models learn by analyzing patterns in the Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment. By the end of this course, a learner will master Databricks to perform data engineering and data analytics tasks for data science workflows. You will find courses on topics such as feature engineering, regression modeling, creativity, and more. It takes them from zero Snowflake knowledge all the way to creating user-defined functions, using a Snowflake Cortex LLM function, editing a Streamlit app, and more. Skills you'll gain: Machine Learning, Natural Language Processing, Python Programming. You will learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and Explore the nuances of LLM performance evaluation, and understand the differences between benchmarking foundation models and testing LLM applications. Module 1 • 1 hour to complete. Generative AI with Large Language Models: DeepLearning. Module details. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. hv pq zw jw kk ip jg ho qd fg