Hugging Face & Transformers

Transformer Neural Networks Derived from Scratch

Transformer models and BERT model: Overview

Update 1.1 as of  29/01/2025Generative AILLM LangChain Hugging Face Ollama OpenAI Gemini Deep Seek Google NotebookLM Azure AI Services (Azure OpenAI Service)Recent reviews: "Thorough explanation, going great so far. A very simplistic and straightforward introduction to Natural Language Processing. I will recommend this class to any one looking towards Data Science""This course so far is breaking down the content into smart bite-size pieces and the professor explains everything patiently and gives just enough background so that I do not feel lost.""This course is really good for me. it is easy to understand and it covers a wide range of NLP topics from the basics, machine learning to Deep Learning.The codes used is practical and useful.I definitely satisfy with the content and surely recommend to everyone who is interested in Natural Language Processing"Update 1.0 :Fasttext Library for Text classification section added.Hi Data Lovers,Do you have idea about Which Artificial Intelligence field is going to get big in upcoming year?According to statista dot com which field of AI is predicted to reach $43 billion by 2025?If  answer is 'Natural Language Processing', You are at right place. Do you want to know How Google News classify millions of news article into hundreds of different category.How Android speech recognition recognize your voice with such high accuracy.How Google Translate actually translate hundreds of pairs of different languages into one

Master Generative AI with LangChain and Hugging Face Unlock the potential of generative AI and LL Ms (Large Language Models) with our hands-on course. Dive deep into LangChain and Hugging Face, two of the most powerful tools in the AI space, and learn prompt engineering through practical examples. This course is designed to provide you with the skills to implement gen AI models effectively.Why Choose This Course?Generative AI is transforming industries from marketing to healthcare. Our course offers a unique opportunity to harness this technology effectively.Project-Based Learning: Engage in innovative projects, from text summarizers to text-to-video animations.Hands-On Expertise: Master LangChain and Hugging Face by applying them to real-world scenarios.Up-to-Date Knowledge: Work with the latest models and frameworks, staying ahead in the rapidly evolving AI landscape.What You’ll Build This course is structured around four key projects designed to teach you the practical applications of generative AI:Text Summarizer with GUI Integrate LangChain components with Hugging Face's BART model.Load and summarize text from PDF documents.Design an intuitive graphical user interface (GUI) for a seamless user experience.Interactive AI Assistant with GUI Develop a multi-functional assistant to handle summaries, queries, and more.Implement LangChain's query and summary handlers for efficiency.Create a user-friendly GUI and test the assistant's capabilities.Text-to-Image Generator Transform text inputs into visually stunning images using Hugging Face

Do not take this course if you are an ML beginner. This course is designed for those who are interested in pure coding and want to fine-tune LL Ms instead of focusing on prompt engineering. Otherwise, you may find it difficult to understand.Welcome to "Mastering Transformer Models and LLM Fine Tuning", a comprehensive and practical course designed for all levels, from beginners to advanced practitioners in Natural Language Processing (NLP). This course delves deep into the world of Transformer models, fine-tuning techniques, and knowledge distillation, with a special focus on popular BERT variants like Phi2, LLAMA, T5, BERT, DistilBERT, MobileBERT, and TinyBERT.Course Overview:Section 1: Introduction Get an overview of the course and understand the learning outcomes.Introduction to the resources and code files you will need throughout the course.Section 2: Understanding Transformers with Hugging Face Learn the fundamentals of Hugging Face Transformers.Explore Hugging Face pipelines, checkpoints, models, and datasets.Gain insights into Hugging Face Spaces and Auto-Classes for seamless model management.Section 3: Core Concepts of Transformers and LL Ms Delve into the architectures and key concepts behind Transformers.Understand the applications of Transformers in various NLP tasks.Introduction to transfer learning with Transformers.Section 4: BERT Architecture Deep Dive Detailed exploration of BERT's architecture and its importance in context understanding.Learn about Masked Language Modeling (MLM) and Next Sentence Prediction (NSP) in BERT.Understand BERT fine-tuning and evaluation techniques.Section 5: Practical Fine-Tuning with BERT</strong

Are you ready to boost your Python skills and explore the exciting world of Generative AI? This course is designed to help you ace certification exams and deepen your understanding of the essential Python tools used in generative AI development. With 50 practice questions based on real-world AI scenarios, you’ll test and expand your knowledge of Large Language Models (LL Ms), Hugging Face Transformers, LangChain, and image generation frameworks like Stable Diffusion.Through this course, you’ll cover critical concepts in Python programming, AI model integration, and prompt engineering. The multiple-choice and multi-choice questions are structured to challenge you on real-world AI applications, helping you prepare for AI developer interviews, certification exams, and hands-on projects. Whether you're new to Python or already an experienced developer, this course is your perfect guide to mastering Generative AI technologies.Learn how to efficiently interact with AI libraries, manage data workflows, and develop advanced AI solutions. By the end of this course, you’ll be ready to apply your skills to create AI-driven applications and confidently face the challenges of Generative AI development.Why Take This Course?50 real-world-based MC Qs &amp; advanced AI problem-solving Practical exposure to top AI frameworks &amp; Python integration Ideal prep for AI certifications and developer interviews Hands-on focus: LL Ms, Hugging Face, LangChain, Stable Diffusion Certification Note:Upon successful completion of this course and its assessments, you are eligible for an official course certificate.Linked Topics:Python Programming Generative AI Large Language Models (LL Ms)Hugging Face Transformers LangChain Stable Diffusion</

Welcome to "Learn Hugging Face for Mastering Generative AI with LL Ms". In today's AI-driven world, Hugging Face has become a central platform for working with Large Language Models (LL Ms), which have revolutionized generative AI by enabling machines to generate human-like text, answer questions, and even create original content. This course is meticulously designed to give you a deep understanding of these models and how to harness their power using Hugging Face.Our journey begins with a robust introduction to LL Ms, exploring their intricacies and how to manage their compute requirements, all within the Hugging Face ecosystem. From there, we dive into the world of Hugging Face, which provides an extensive collection of pre-trained models that can be applied in a wide range of innovative applications.Practical knowledge is essential, so the course transitions into a deep dive into Transformers, a key technology behind LL Ms, with a special focus on Hugging Face implementations. You'll get hands-on experience with Hugging Face tools, manipulating datasets, building custom models, and mastering tokenization.Finally, we emphasize training, fine-tuning, and quantization, with models downloaded from Hugging Face. Learn how to adjust LL Ms to your needs, whether for summarization or text generation. With techniques like Instruction Fine-tuning and PEFT, you'll master the art of fine-tuning models. We’ll even show you how to train a GPT-2 from scratch using Hugging Face to generate text from a custom dataset. Then finally, we will show you how to quantize your models so that they take up less memory.

Are you interested in harnessing the power of AI to create groundbreaking language-based applications? Look no further than LangChain and Gen AI - a comprehensive course that will take you from a novice to an expert in no time. Implement Generative AI (GenAI) apps with LangChain framework using different LL Ms.By implementing AI applications powered with state-of-the-art LLM models like OpenAI and Hugging Face using Python, you will embark on an exciting project-based learning journey.With LangChain, you will gain the skills and knowledge necessary to develop innovative LLM solutions for a wide range of problems.Here are some of the projects we will work on:Project 1: Construct a dynamic question-answering application with the unparalleled capabilities of LangChain, OpenAI, and Hugging Face Spaces.Project 2: Develop an engaging conversational bot using LangChain and OpenAI to deliver an interactive user experience.Project 3: Create an AI-powered app tailored for children, facilitating the discovery of related classes of objects and fostering educational growth.Project 4: Build a captivating marketing campaign app that utilizes the persuasive potential of well-crafted sales copy, boosting sales and brand reach.Project 5: Develop a ChatGPT clone with an added summarization feature, delivering a versatile and invaluable chatbot experience.Project 6: MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and Pinecone.Project 7: CSV Data Analysis Toll - Helps you analyze your CSV file by answering your queries about its data.Project 8: Youtube Script Writing Tool -&nbsp; Effortlessly create compelling You Tube scripts with this user-friendly and efficient script-writing tool.Project