Test-Time Scaling (TTS) is a crucial technique for enhancing the performance of LLMs by leveraging additional computational resources during inference.…
Machine Learning
Artificial Intelligence is increasingly integrated into various sectors, yet there is limited empirical evidence on its real-world application across industries.…
The dominant approach to pretraining large language models (LLMs) relies on next-token prediction, which has proven effective in capturing linguistic…
In this post, we discuss what embeddings are, show how to practically use language embeddings, and explore how to use…
AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate…
We introduce ImmerseDiffusion, an end-to-end generative audio model that produces 3D immersive soundscapes conditioned on the spatial, temporal, and environmental…
Multi-agent AI systems utilizing LLMs are increasingly adept at tackling complex tasks across various domains. These systems comprise specialized agents…
Reasoning tasks are yet a big challenge for most of the language models. Instilling a reasoning aptitude in models, particularly…
Artificial intelligence has made significant strides, yet developing models capable of nuanced reasoning remains a challenge. Many existing models struggle…
This paper presents an implementation of machine learning model training using private federated learning (PFL) on edge devices. We introduce…
This paper reports on the shared tasks organized by the 21st IWSLT Conference. The shared tasks address 7 scientific challenges…
The study examines the concept of agency, defined as a system’s ability to direct outcomes toward a goal, and argues…
In many modern Python applications, especially those that handle incoming data (e.g., JSON payloads from an API), ensuring that the…
Competitive programming has long served as a benchmark for assessing problem-solving and coding skills. These challenges require advanced computational thinking,…
Human-robot collaboration focuses on developing intelligent systems working alongside humans in dynamic environments. Researchers aim to build robots capable of…
Generative AI has emerged as a transformative force, captivating industries with its potential to create, innovate, and solve complex problems.…
Transformer-based models have significantly advanced natural language processing (NLP), excelling in various tasks. However, they struggle with reasoning over long…
The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations…
This blog post is co-written with Moran beladev, Manos Stergiadis, and Ilya Gusev from Booking.com. Large language models (LLMs) have…
There’s a growing demand from customers to incorporate generative AI into their businesses. Many use cases involve using pre-trained large…