Optimizing large model efficiency
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NVIDIA leverages Meta's Llama 3.1 models and employs structured weight pruning and knowledge distillation to develop smaller, more efficient Llama-Minitron models.
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This reduces resource intensity, making large language models more accessible and cost-effective.
41
AI use cases in
artificial intelligence
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Synechron implemented an enterprise-grade AI chat platform, Synechron Nexus Chat, powered by Azure OpenAI to enable secure and scalable conversational AI. The platform was deployed within an Azure private landing zone and integrated various language models, customizable personas, file uploads, and plugin agents to support natural language interactions and specialized tasks like diagram generation and image analysis. This solution enhanced internal business processes across HR, marketing, legal, and compliance while safeguarding sensitive data.
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Hume AI, a leader in emotionally intelligent AI systems, utilizes Anthropic's Claude to power natural and empathetic voice conversations through their EVI platform. This integration enables Hume's clients in healthcare, customer service, and consumer applications to build trust with users by providing emotionally aware and responsive interactions.
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62
companies using
code agents
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49
solutions powered by
Meta
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