Large Language Models (LLMs) have demonstrated impressive performance in tasks like Natural Language Processing, generation, and text synthesis. However, they still encounter major difficulties in more complicated circumstances. These are assignments that call for using tools to solve problems, dealing with structured data, or carrying out complex multi-step reasoning. For instance, although LLMs are adept…
Mistral AI recently announced the release of Mistral-Small-Instruct-2409, a new open-source large language model (LLM) designed to address critical challenges in artificial intelligence research and application. This development has generated significant excitement in the AI community, as it promises to enhance the performance of AI systems, improve accessibility to cutting-edge models, and offer new possibilities…
Artificial intelligence (AI) and natural language processing (NLP) have seen significant advancements in recent years, particularly in the development and deployment of large language models (LLMs). These models are essential for various tasks, such as text generation, question answering, and document summarization. However, while LLMs have demonstrated remarkable capabilities, they encounter limitations when processing long…
Early attempts in 3D generation focused on single-view reconstruction using category-specific models. Recent advancements utilize pre-trained image and video generators, particularly diffusion models, to enable open-domain generation. Fine-tuning on multi-view datasets improved results, but challenges persisted in generating complex compositions and interactions. Efforts to enhance compositionality in image generative models faced difficulties in transferring techniques…
Microscopic imaging is crucial in modern medicine as an indispensable tool for researchers and clinicians. This imaging technology allows detailed examination of biological structures at the cellular and molecular levels, enabling the study of tissue samples in disease diagnosis and pathology. By capturing these microscopic images, medical professionals can better understand disease mechanisms and progression,…
A major challenge in the field of Speech-Language Models (SLMs) is the lack of comprehensive evaluation metrics that go beyond basic textual content modeling. While SLMs have shown significant progress in generating coherent and grammatically correct speech, their ability to model acoustic features such as emotion, background noise, and speaker identity remains underexplored. Evaluating these…
AI Control assesses the safety of deployment protocols for untrusted AIs through red-teaming exercises involving a protocol designer and an adversary. AI systems, like chatbots with access to tools such as code interpreters, become increasingly integrated into various tasks, ensuring their safe deployment becomes more complex. While prior research has focused on building robustly safe…
Large language models (LLMs) have made significant success in various language tasks, but steering their outputs to meet specific properties remains a challenge. Researchers are attempting to solve the problem of controlling LLM generations to satisfy desired characteristics across a wide range of applications. This includes reinforcement learning from human feedback (RLHF), red-teaming techniques, reasoning…
Stochastic optimization problems involve making decisions in environments with uncertainty. This uncertainty can arise from various sources, such as sensor noise, system disturbances, or unpredictable external factors. It can real-time control and planning in robotics and autonomy, where computational efficiency is crucial for handling complex dynamics and cost functions in ever-changing environments. The core problem…
Large language models (LLMs) have seen remarkable success in natural language processing (NLP). Large-scale deep learning models, especially transformer-based architectures, have grown exponentially in size and complexity, reaching billions to trillions of parameters. However, they pose major challenges in computational resources and memory usage. Even advanced GPUs struggle to handle models with trillions of parameters,…