Prompting Techniques[ Explained ] to Increase LLM Performance | 5-Shot Prompting VS Chain-Of-Thought
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Sobre esta lección
Welcome, Free Birds Crew! Today, we're delving into the realm of Large Language Models (LLMs) and prompt engineering. Understanding 5-shot prompting and chain-of-thought prompting is crucial for optimizing LLM performance across various benchmarks. Join us as we unravel these techniques and explore their impact on specific tasks. 🔍 5-Shot vs. Chain-of-Thought Prompting: - Uncover the significance of "shot" in machine learning and its role in training models. - Explore how 5-shot prompting provides LLMs with a handful of examples, guiding them for specific tasks. - Understand chain-of-thought prompting, encouraging LLMs to articulate their reasoning process step by step. 💡 Choosing the Right Technique: - Delve into the strengths and weaknesses of both techniques. - Learn when to use 5-shot prompting for simplicity and efficiency. - Consider chain-of-thought prompting for complex tasks, improving transparency and logical reasoning. 🌐 GPT-4 vs. Google Gemini: Benchmark Insights: - Explore the evaluation of GPT-4 and Google Gemini using the 5-shot MMLU and 10-shot HellaSwag benchmarks. - Uncover the scores: GPT-4 vs. Gemini Ultra and Gemini Pro. 🧠 Chain of Thought (CoT) Prompting: - Understand the concept of Chain of Thought (CoT) and its role in guiding AI models through logical sequences. - Witness how CoT prompting contributes to the journey towards fully reasoning LLMs. 🚀 What's Next? Stay tuned for our next video, where we'll dive into 5-shot prompting with open-source LLMs. Learn how to enhance model performance using Python and LLM techniques. 🚀 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 - 📍 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. Krish Naik machine learning, Krish Naik deep learning, Krish naik nlp, Krish Naik Python tutorial, Krish naik explainable ai, Krish Naik data science, Krish Naik statistics, Krish Naik Cheatsheets, 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, Meta data 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