7 Step Journey to Master Large Language Models [ Secrets Revealed ] with Pre Trained Models and RAG

Sobre esta lección

Explore the world of Large Language Models (LLMs) with FreeBirds Crew, your trusted data scientist and tech guide. In this comprehensive guide, we'll cover everything from the basics to deploying real-world applications. 📌 Segment 1: Understanding the Basics Gain insights into the significance and power of LLMs. We'll address fundamental questions like: What are LLMs? Why are they popular? How do they differ from other deep-learning models? What are their common use cases? 📌 Segment 2: Exploring LLM Architectures Delve into the foundational Transformer architecture, the backbone of LLMs. Understand key features, use cases, and how it power models like BERT and GPT. 📌 Segment 3: Using Pre-trained LLM Learn about the pre-training process that equips LLMs with language patterns. Explore objectives, text corpora, and the technical aspects of training procedures. 📌 Segment 4: Fine Tuning LLM Take a deep dive into fine-tuning LLMs for specific tasks. From selecting the right model to dealing with challenges, we'll guide you through the process. 📌 Segment 5: Alignment and LLM Post-Training Address the responsible use of LLMs. Explore techniques like Reinforcement Learning from Human Feedback and Contrastive Post-training to align models with ethical standards. 📌 Segment 6: LLM Evaluation and Continuous Learning Assess LLM performance, consider human evaluation, and explore strategies for continuous learning and adaptation. 📌 Segment 7: Building and Deploying LLM Applications Put your knowledge into action. Learn how to construct applications, design user experiences, integrate APIs, and deploy LLM-based applications in real-world scenarios. 🛠️ Keywords: Large Language Models, LLM, Transformers, Tech Guide, Pre-training, Fine-tuning, Ethical AI, Deploying Applications, Machine Learning, Data Privacy, Continuous Learning, API Integration, User Experience Design, Tech Solutions, Data Science. Ready to master Large Language Models? Hit play, subscribe for more tech insights, and join FreeBirds Crew on a journey of tech exploration and mastery! 🌐🔥 🚀 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 - 📍 FAANG Data Science Interview Questions - https://bit.ly/3QFoJZE 📍 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's deep learning, Krish naik nlp, Krish Naik Python tutorial, Krish naik logistic regression, 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, logistic regression questions, credit risk modelling, interview preparation for FAANG, FAANG Interview questions, Google data science Interview questions, Amazon data scientist interview,