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Listen "Harnessing LLMs for Computational Neuroscience with Llama-3–8b-Smith-Neuroscience"
Episode Synopsis
Medium Article: https://medium.com/@jsmith0475/harnessing-large-language-models-for-computational-neuroscience-bridging-biology-and-artificial-448c6ad1bc0f
Dr. Jerry Smith's Medium article details the development and application of Llama-3–8b-Smith-Neuroscience, a fine-tuned large language model specializing in computational neuroscience. This model, based on unsloth/llama-3–8b-Instruct-bnb-4bit, uses techniques like LoRA and QLoRA for efficient processing and offers domain-specific expertise in areas such as spiking neural networks and neuromorphic computing. Its accessibility and capabilities are highlighted, along with its potential uses in research, education, and AI development. The article also addresses the model's limitations and future development.
Dr. Jerry Smith's Medium article details the development and application of Llama-3–8b-Smith-Neuroscience, a fine-tuned large language model specializing in computational neuroscience. This model, based on unsloth/llama-3–8b-Instruct-bnb-4bit, uses techniques like LoRA and QLoRA for efficient processing and offers domain-specific expertise in areas such as spiking neural networks and neuromorphic computing. Its accessibility and capabilities are highlighted, along with its potential uses in research, education, and AI development. The article also addresses the model's limitations and future development.
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