Image by Author | Canva Docker containers simplify the development and deployment of applications, but they also introduce security challenges. This tutorial will walk you through five essential best practices to secure your Docker containers effectively. Prerequisites To follow along: You should have Docker installed. You should be comfortable with Docker commands for … Read more
import functools import pprint import re import torch from transformers import AutoTokenizer, AutoModelForSeq2SeqLM class AdvancedTextSummarizer: def __init__(self, model_name=“sshleifer/distilbart-cnn-12-6”, quantize=False): “”“Initialize the advanced summarizer with additional features. Args: model_name (str): Name of the pre-trained model to use quantize (bool): Whether to quantize the model for faster inference ““” self.device = “cuda” if … Read more
Statistical Methods for Evaluating LLM PerformanceImage by Author | Ideogram Introduction The large language model (LLM) has become a cornerstone of many AI applications. As businesses increasingly rely on LLM tools for tasks ranging from customer support to content generation, understanding how these models work and ensuring their quality has never been more important. In … Read more
DistilBart is a typical encoder-decoder model for NLP tasks. In this tutorial, you will learn how such a model is constructed and how you can check its architecture so that you can compare it with other models. You will also learn how to use the pretrained DistilBart model to generate summaries and how to control … Read more
Manus AI agent is China’s latest artificial intelligence breakthrough that’s turning heads in Silicon Valley and beyond. Manus was launched last week via an invitation-only preview, and represents China’s most ambitious entry into the emerging AI agent market. Unlike anything seen to date, the Manus AI agent doesn’t just chat with users – it is … Read more
OpenAI and Google are each urging the US government to take decisive action to secure the nation’s AI leadership. “As America’s world-leading AI sector approaches AGI, with a Chinese Communist Party (CCP) determined to overtake us by 2030, the Trump Administration’s new AI Action Plan can ensure that American-led AI built on democratic principles continues … Read more
GenAI systems affect how we work. This general notion is well known. However, we are still unaware of the exact impact of GenAI. For example, how much do these tools affect our work? Do they have a larger impact on certain tasks? What does this mean for us in our daily work? To answer these … Read more
As we have already seen with the basic components (Part 1, Part 2), the Hadoop ecosystem is constantly evolving and being optimized for new applications. As a result, various tools and technologies have developed over time that make Hadoop more powerful and even more widely applicable. As a result, it goes beyond the pure HDFS … Read more
Traditional language models rely on autoregressive approaches, which generate text sequentially, ensuring high-quality outputs at the expense of slow inference speeds. In contrast, diffusion models, initially developed for image and video generation, have gained attention in text generation due to their potential for parallelized generation and improved controllability. However, existing diffusion models struggle with fixed-length … Read more
The rapid evolution of artificial intelligence (AI) has ushered in a new era of large language models (LLMs) capable of understanding and generating human-like text. However, the proprietary nature of many of these models poses challenges for accessibility, collaboration, and transparency within the research community. Additionally, the substantial computational resources required to train such models … Read more