Research Notes

Research Note: Meta Llama 3.1

Meta recently released its new Llama 3.1 large language model, setting a new benchmark for open-source models. This latest iteration of the Llama series enhances AI capabilities while underscoring Meta’s continuing commitment to democratizing advanced technology. Along with the updated model, Meta also released a new suite of ethical AI tools.

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Research Note: NVIDIA AI Factory & NIM Inference Microservices

NVIDIA announced its new NVIDIA AI Foundry, a service designed to supercharge generative AI capabilities for enterprises using Meta’s just-released Llama 3.1 models, along with its new NIM Inference microservices.

The new offerings significantly advance the ability to customize and deploy AI models for domain-specific applications.

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Research Note: NTT Data’s New AI Edge Platform

NTT Data unveiled its new Edge AI platform, which aims to accelerate IT/OT convergence by bringing AI processing to the edge. The fully managed solution enables real-time decisions, enhances operational efficiencies, and deploys secure AI applications across various industries, driving the adoption of advanced Industry 4.0 technologies.

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Research Note: Mistral NeMo 12B Small Language Model

Mistral AI and NVIDIA launched Mistral NeMo 12B, a state-of-the-art language model for enterprise applications such as chatbots, multilingual tasks, coding, and summarization. The collaboration combines Mistral AI’s training data expertise with NVIDIA’s optimized hardware and software ecosystem, offering high performance across diverse applications.

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Research Note: AWS Updates Bedrock

Amazon Web Services (AWS) announced a series of significant enhancements to its Bedrock platform aimed at bolstering the capabilities and reliability of generative AI applications. These enhancements focus on improved data connectivity, advanced safety features, and robust governance mechanisms.

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