Brown’s scientific contributions

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Publications (1)


BIML multi-stacking MLC and GPT-4 on S-lora systems
  • Preprint
  • File available

September 2023

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327 Reads

Daniel Jesse

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Brown

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This document introduces an advanced AI system that amalgamates Bi-Directional Machine Learning, Business Integration Machine Learning (BIML2), Meta-Learning for Compositionality (MLC), GPT-4 TURBO, and Sparse Latent Representation Attention (S-lora) technology, enhanced by ChatDev and the Algorithm of Thought (AoT). This system represents a paradigm shift in handling and interpreting complex datasets. The inclusion of ChatDev, operating on the S-lora platform, offers a dynamic and interactive environment for real-time data analysis, facilitating user engagement and intuitive data processing. BIML and BIML2 enable efficient management and interpretation of extensive genomic information. MLC (Meta-Learning for Compositionality) is integrated to equip the system with continuous learning and adaptation capabilities, essential for staying abreast with the rapidly evolving field of genomics. Furthermore, the document highlights the incorporation of AoT (Algorithm of Thought) and RAG-Fusion, which collectively enhance the system's reasoning and problem-solving. This AI system combines state-of-the-art technologies to provide adaptability, energy efficiency, and environmental sustainability.

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