Search Results for: Transformers

Table of Contents DETR Breakdown Part 1: Introduction to DEtection TRansformers Why DETR and What’s So Special? 🤔 What Is Object Detection? 😯 So What’s New in DETR? 🎁 Life Is Not a Bed of Roses 🌹: Past Challenges The…

Table of Contents Train a MaskFormer Segmentation Model with Hugging Face 🤗 Transformers Project Structure Requirements Bonus An Introduction to Image Segmentation What Is MaskFormer? 🤗Transformers Ecosystem How to Train an Instance Segmentation Model with MaskFormer? Setup Loading the Dataset…

Table of Contents A Deep Dive into Transformers with TensorFlow and Keras: Part 3 Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Config Dataset Attention Utility Functions Positional Encoding Feed Forward Rate Schedule Loss Accuracy…

Table of Contents A Deep Dive into Transformers with TensorFlow and Keras: Part 2 A Brief Recap The Land of Attention Connecting Wires Skip Connections Layer Normalization Feed-Forward Network Positional Encoding Summary Citation Information A Deep Dive into Transformers with…

Table of Contents A Deep Dive into Transformers with TensorFlow and Keras: Part 1 Introduction The Transformer Architecture Encoder Decoder Evolution of Attention Version 0 Version 1 Version 2 Problems Solution Scaling of the Dot Product Version 3 Version 4…

Table of Contents Deploying a Vision Transformer Deep Learning Model with FastAPI in Python What Is FastAPI? Advantages of FastAPI Positioning FastAPI Among Web Frameworks Brief Overview of Vision Transformers Patch + Position Embedding Linear Projection of Flattened Patches Transformer…

Table of Contents LLMOps with DSPy: Build RAG Systems Using Declarative Programming Introduction to DSPy: LLMOps Without Prompt Tuning Building Blocks of DSPy Language Models Signatures Modules Data Metrics Optimizers Building a RAG Framework for Biomedical Question Answering with DSPy…

Table of Contents LlamaIndex: Building a Smarter RAG-Based Chatbot Understanding Retrieval Augmented Generation Limitations of Standalone Large Language Models in Production What Is Retrieval Augmented Generation (RAG)? Different Stages of a RAG System Loading Indexing and Storing Querying Evaluating Introduction…

Table of Contents llama.cpp: The Ultimate Guide to Efficient LLM Inference and Applications The Evolution of Large Language Models The Challenge with LLMs Enters llama.cpp Understanding llama.cpp Background on Gerganov Contributions Unique Selling Point (USP) of llama.cpp Which Foundational Models…