Optimize Prompts with RAG [Retrieval Augmented Generation] and Context Learning | Prompt Engineering
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Sobre esta lección
Do you know why your prompts in ChatGPT or any other Large language model are not getting your accurate or efficient response? Well, the answer lies in this video. In the world of AI and chatbots, context learning and Retrieval Augmented Generation [RAG] are important. Imagine a company striving to build an AI-powered chatbot for comprehensive customer support. To truly excel, this chatbot needs to grasp the nuances of customer history and product information. This educational video delves deep into the fascinating concept of context learning. Discover why context length holds the key, especially in RAG (Retrieval Augmented Generation). RAG, as the preferred pattern for leading Language Model industry applications, operates in two crucial phases: Phase 1: Chunking (Indexing) Phase 2: Querying But here's the twist: It's not just about packing in as much context as possible. The real challenge lies in how effectively your model utilizes this context. Discover the art of "prompt engineering" or "prompt construction" – the techniques that elevate context efficiency. Watch the video and learn to optimize your prompts. 🚀 Follow me on Medium for the latest blogs and projects - https://bit.ly/3JGXqwc 🗂️ To get the Source Code, Follow me on GitHub - https://bit.ly/3gg07Uc 🔖 Book your call with me at topmate.io and learn how to harness the latest technologies power and speed up your learning process. 📲 Book your call at - https://bit.ly/43TLDCD 🤖 Playlists that make you skilled up - 📍 Machine Learning with Explainable AI - https://bit.ly/47Qzroc 📍 Prompt Engineering - https://bit.ly/42v376M 📍 Finacial Data Analysis and Financial Modelling - https://bit.ly/3OCWI5O 📍 Artificial Intelligence Projects - https://bit.ly/3L8lhEi 📍 Predict IPL 2023 Winner - https://bit.ly/3BfC3N9 📍 Machine Learning - https://bit.ly/3gsuIxb 📍 Face Recognition - https://bit.ly/2YphpHm 📍 Creative Python - https://bit.ly/34nM9wr 📍 Latest Tech Videos - https://bit.ly/2QcaOeW 📱Follow US on Social Media - - Telegram: https://bit.ly/3JJblSC - Youtube: https://bit.ly/38gLfTo - Instagram: http://bit.ly/2N1IMP9 - Twitter: https://bit.ly/40vYMjl ⚡️ Do Like, Comment, Share, and Subscribe to our YouTube Channel for more Videos and Projects. prompt engineering, prompt engineering full course, prompt engineering course, prompt engineering chatgpt, prompt engineering full course in hindi, prompt engineering tutorial, prompt engineering sandeep maheshwari, prompt engineering jobs, context learning machine learning, context learning vs. prompt engineering, retrieval augmented generation (rag), retrieval augmented generation chatgpt, retrieval augmented generation explained, retrieval augmented generation with langchain, langchain explained, langchain llama 2, langchain tutorial, langchain chatbot, Krish Naik machine learning, Krish Naik's deep learning, Krish naik nlp, Krish Naik Python tutorial, Krish naik explainable ai, Krish Naik data science, Krish Naik statistics, machine learning full course, machine learning tutorial, machine learning interview questions, machine learning projects in Python, data science for beginners, data science project, data science full course, data science interview questions, data science interview, machine learning interview questions, statistics interview questions, Python interview questions, interview questions, leetcode questions, interview preparation for FAANG, FAANG Interview questions, Google data science Interview questions, Amazon data scientist interview, Metadata scientist interview questions,
Sobre este curso
Welcome to "Mastering Prompt Engineering: A Comprehensive Guide," a playlist dedicated to teaching you everything you need to know about prompt engineering, a cutting-edge field within natural language processing (NLP) that focuses on building models that can generate high-quality text outputs in response to prompts or input. This playlist consists of six in-depth videos that will take you from the basics of prompt analysis to advanced techniques for fine-tuning pre-trained language models. Here's what you can expect to learn: 1. Introduction to Prompt Engineering: In this video, we will introduce you to prompt engineering and explain why it is an important field for NLP. We will cover the basics of prompt analysis, including how to deconstruct prompts and identify key features and constraints. 2. Building Your First Prompt Engineering Model: In this video, we will walk you through the process of building your first prompt engineering model. We will cover the key steps, from selecting a pre-trained language model to fine-tuning it for a specific task and input. 3. Evaluating Prompt Engineering Models: In this video, we will discuss the importance of evaluating prompt engineering models and how to do it effectively. We will cover key metrics and techniques for evaluating the quality and performance of your models. 4. Advanced Techniques for Prompt Engineering: In this video, we will dive deeper into advanced techniques for prompt engineering. We will cover topics such as transfer learning, meta-learning, and zero-shot learning, and how to apply these techniques to improve the performance and flexibility of your models. 5. Applications of Prompt Engineering: In this video, we will explore the wide range of applications for prompt engineering, from chatbots and virtual assistants to language translation and content generation. We will discuss the benefits and limitations of prompt engineering for each application, and provide real-world examples. 6. Best Practices for Prompt Engineering: In this final video, we will share our best practices for prompt engineering, including tips and tricks for building high-quality models that are accurate, coherent, and contextually appropriate. We will also discuss common pitfalls and how to avoid them. By the end of this playlist, you will have a deep understanding of prompt engineering and how to apply it to real-world problems. So, whether you are a beginner or an experienced practitioner, join us on this journey and master the art of text generation with prompt engineering.
Lo que aprenderás en este curso:
- Comprender los fundamentos y conceptos clave de Prompt Engineering Full Course with LLM
- Aplicar técnicas y métodos prácticos de Prompt Engineering Full Course with LLM
- Desarrollar habilidades profesionales en Prompt Engineering Full Course with LLM
- Resolver problemas reales relacionados con Prompt Engineering Full Course with LLM