The processing requirements of LLMs pose considerable challenges, particularly for real-time uses where fast response time is vital. Processing each question afresh is time-consuming and inefficient, ...

With researchers aiming to unify visual generation and understanding into a single framework, multimodal artificial intelligence is evolving rapidly. Traditionally, these two domains have been treated ...

Modern software development faces a multitude of challenges that extend beyond simple code generation or bug detection. Developers must navigate complex codebases, manage legacy systems, and address ...

Large language models (LLMs) have progressed beyond basic natural language processing to tackle complex problem-solving tasks. While scaling model size, data, and compute has enabled the development ...

Pre-trained LLMs require instruction tuning to align with human preferences. Still, the vast data collection and rapid model iteration often lead to oversaturation, making efficient data selection a ...

The evolution of robotics has long been constrained by slow and costly training methods, requiring engineers to manually teleoperate robots to collect task-specific training data. But with the launch ...

Learning useful features from large amounts of unlabeled images is important, and models like DINO and DINOv2 are designed for this. These models work well for tasks like image classification and ...

In today’s digital landscape, automating interactions with web content remains a nuanced challenge. Many existing solutions are resource-intensive and tailored for narrowly defined tasks, which limits ...

In the rapidly evolving field of digital communication, traditional text-to-speech (TTS) systems have often struggled to capture the full range of human emotion and nuance. Conventional systems tend ...

In today’s digital landscape, technology continues to advance at a steady pace. One development that has steadily gained attention is the concept of the AI agent—software designed to perform tasks ...

In this tutorial, we will build an efficient Legal AI CHatbot using open-source tools. It provides a step-by-step guide to creating a chatbot using bigscience/T0pp LLM, Hugging Face Transformers, and ...

Optimizing large-scale language models demands advanced training techniques that reduce computational costs while maintaining high performance. Optimization algorithms are crucial in determining ...