On the modeling capabilities of large language models for sequential decision making.
Large pre-trained models are showing increasingly better performance on reasoning and planning tasks in different modalities, opening up the possibility ...
Tag: Large
Delayed Fusion: Integrating Large Language Models into First-Pass Decoding in End-to-End Speech Recognition
This paper presents an efficient decoding approach for end-to-end automatic speech recognition (E2E-ASR) with large language models (LLM). Although shallow ...
NVIDIA AI Introduces Omni-RGPT: A Unified Multimodal Large Language Model for Seamless Regional Understanding in Images and Video
Multimodal Large Language Models (MLLM) bridge vision and language, enabling effective interpretation of visual content. However, achieving an accurate and ...
ChemAgent: Enhancing Large Language Models for Complex Chemical Reasoning with Dynamic Memory Frameworks
Chemical reasoning involves complex, multi-step processes that require precise calculations, where small errors can lead to major problems. LLMs often ...
ByteDance researchers introduce Tarsier2: a large vision-language model (LVLM) with 7B parameters, designed to address the core challenges of video understanding
Understanding video has long presented unique challenges for ai researchers. Unlike static images, videos involve intricate temporal dynamics and spatio-temporal ...
Large investors prefer these 10 tokens to turn $100,000 into $10 million
<img src="https://crypto.news/app/uploads/2024/08/crypto-news-bull-trading-chart-option08.webp" /> Disclosure: This article does not represent investment advice. The content and materials appearing on this page are ...
SepLLM: A Practical AI Approach for Efficient Sparse Attention in Large Language Models
Large language models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks, from text generation to contextual reasoning. ...
What are large language models (LLM)?
Understanding and processing human language has always been a difficult challenge in artificial intelligence. Early ai systems often struggled to ...
This AI article explores quantization techniques and their impact on mathematical reasoning in large language models
Mathematical reasoning is the backbone of artificial intelligence and is very important in arithmetic, geometric and competitive level problems. Recently, ...
Grayscale Adjusts Large Cap Fund by Raising Bitcoin and Ethereum Allocations to 90%
Key takeaways Grayscale has increased bitcoin and ethereum allocations to a combined 90% in its Digital Large Cap Fund. Cardano ...
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