Prompt engineering has emerged as a vital discipline in optimizing language models (LMs) for a variety of applications. By mastering this skill, developers and researchers can harness the full potential of large language models (LLMs) for tasks ranging from question...
Getting Started with Catalyst for Accelerated Deep Learning R&D
Catalyst is a potent framework built on top of PyTorch, crafting a seamless journey for deep learning researchers and developers. With its focus on reproducibility, rapid prototyping, and modularity, Catalyst is designed to reduce boilerplate code, allowing you to get...
How to Create a Conversational AI Agent Using Alan AI SDK for Flutter
If you're venturing into the world of conversational AI, the Alan AI SDK for Flutter is a game-changer. With this comprehensive toolkit, you can add voice capabilities to your app without the heavy-lifting typically associated with building conversational interfaces....
Zshot: Mastering Zero and Few Shot Named Entity Relationships Recognition
Zero and Few shot named entity relationships recognition Zshot is a highly customizable framework designed for zero and few shot named entity recognition (NER) and relationship extraction. It offers a range of features such as mention extraction, wikification, and...
How to Set Up and Use Amazon SageMaker Studio Lab for AIML Projects
Are you ready to embark on your journey into the world of Artificial Intelligence and Machine Learning (AIML)? Amazon SageMaker Studio Lab is your launchpad, offering a user-friendly environment to kickstart your projects without spending a dime. This guide will walk...
How to Navigate the World of AIOps: A Comprehensive Guide
AIOps, or Artificial Intelligence for IT Operations, is revolutionizing how organizations manage their IT environments. This guide will help you explore resources, tools, and practices to enhance your AIOps journey. Key Areas to Explore in AIOps White Paper Courses...
How to Implement SSD: Single Shot MultiBox Detector in TensorFlow
In the world of object detection, the Single Shot MultiBox Detector (SSD) provides a swift and efficient approach utilizing a single neural network. Originally proposed in a research article, this unified framework has gained popularity due to its effectiveness. This...
How to Autocomplete Python Code with an LSTM Model
In the world of programming, efficiency is key. Auto-completing code can save significant time and effort, and LSTM models shine in this area. In this article, we’ll walk through how to implement a simple LSTM model that can autocomplete Python code, allowing you to...
How to Create a Recommendation System with TensorRec
Welcome to your guide on how to leverage TensorRec, a recommendation system framework built on TensorFlow! With TensorRec, you can easily build and customize recommendation algorithms to rank products, services, or any items users may be interested in. We will walk...