This AI paper from DeepSeek-AI Explores How DeepSeek-V3 Delivers High-Performance Language Modeling by Minimizing Hardware Overhead and Maximizing Computational Efficiency

This AI paper from DeepSeek-AI Explores How DeepSeek-V3 Delivers High-Performance Language Modeling by Minimizing Hardware Overhead and Maximizing Computational Efficiency

The growth in developing and deploying large language models (LLMs) is closely tied to architectural innovations, large-scale datasets, and hardware improvements. Models like DeepSeek-V3, GPT-4o, Claude 3.5 Sonnet, and LLaMA-3 have demonstrated how scaling enhances reasoning and dialogue capabilities. However, as their performance increases, so do computing, memory, and communication bandwidth demands, placing substantial strain…

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TxAgent: An AI Agent that Delivers Evidence-Grounded Treatment Recommendations by Combining Multi-Step Reasoning with Real-Time Biomedical Tool Integration

TxAgent: An AI Agent that Delivers Evidence-Grounded Treatment Recommendations by Combining Multi-Step Reasoning with Real-Time Biomedical Tool Integration

Precision therapy has emerged as a critical approach in healthcare, tailoring treatments to individual patient profiles to optimise outcomes while reducing risks. However, determining the appropriate medication involves a complex analysis of numerous factors: patient characteristics, comorbidities, potential drug interactions, contraindications, current clinical guidelines, drug mechanisms, and disease biology. While Large Language Models (LLMs) have…

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