Artificial intelligence research has steadily advanced toward creating systems capable of complex reasoning. Multimodal large language models (MLLMs) represent a…
Machine Learning
Large Language Models (LLMs) have significantly advanced artificial intelligence, particularly in natural language understanding and generation. However, these models encounter…
Owing to the advent of Artificial Intelligence (AI), the software industry has been leveraging Large Language Models (LLMs) for code…
Large Language Models (LLMs) aim to align with human preferences, ensuring reliable and trustworthy decision-making. However, these models acquire biases,…
Scientific research is often constrained by resource limitations and time-intensive processes. Tasks such as hypothesis testing, data analysis, and report…
In this post, I’ll show you how to use Amazon Bedrock—with its fully managed, on-demand API—with your Amazon SageMaker trained…
Figure 1: Training models to optimize test-time compute and learn “how to discover” correct responses, as opposed to the traditional…
The o1 model’s impressive performance in complex reasoning highlights the potential of test-time computing scaling, which enhances System-2 thinking by…
Language-based agentic systems represent a breakthrough in artificial intelligence, allowing for the automation of tasks such as question-answering, programming, and…
Microsoft has released Phi-4, a compact and efficient small language model, on Hugging Face under the MIT license. This decision…
Advancements in neural networks have brought significant changes across domains like natural language processing, computer vision, and scientific computing. Despite…
Large language models (LLMs) have revolutionized natural language processing, enabling applications that range from automated writing to complex decision-making aids.…
Complex domains like social media, molecular biology, and recommendation systems have graph-structured data that consists of nodes, edges, and their…
The pre-training of language models (LMs) plays a crucial role in enabling their ability to understand and generate text. However,…
Video-Language Representation Learning is a crucial subfield of multi-modal representation learning that focuses on the relationship between videos and their…
Multimodal foundation models are becoming increasingly relevant in artificial intelligence, enabling systems to process and integrate multiple forms of data—such…
Ovarian lesions are frequently detected, often by chance, and managing them is crucial to avoid delayed diagnoses or unnecessary interventions.…
This blog post is co-written with Siokhan Kouassi and Martin Gregory at Parameta. When financial industry professionals need reliable over-the-counter…
Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are…
This post was co-written with Ben Doughton, Head of Product Operations – LCH, Iulia Midus, Site Reliability Engineer – LCH,…