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How NVIDIA AI Foundry Lets Enterprises Forge Custom Generative AI Models

NVIDIA

NVIDIA AI Foundry is a service that enables enterprises to use data, accelerated computing and software tools to create and deploy custom models that can supercharge their generative AI initiatives. The key difference is the product: TSMC produces physical semiconductor chips, while NVIDIA AI Foundry helps create custom models.

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SecCodePLT: A Unified Platform for Evaluating Security Risks in Code GenAI

Marktechpost

Code generation AI models (Code GenAI) are becoming pivotal in developing automated software demonstrating capabilities in writing, debugging, and reasoning about code. These models may inadvertently introduce insecure code, which could be exploited in cyberattacks.

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Baichuan-Omni: An Open-Source 7B Multimodal Large Language Model for Image, Video, Audio, and Text Processing

Marktechpost

The impressive multimodal abilities and interactive experience of new AI models like GPT-4o highlight its critical role in practical applications, yet it needs a high-performing open-source counterpart. As conclusion the open-sourced Baichuan-Omni is a step toward developing a truly omni-modal LLM that encompasses all human senses.

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How NVIDIA Nim Can Revolutionize Deployment of Generative AI applications?

Towards AI

source) Nvidia Inference Microservice (NIM): In simple terms, NIM is a collection of cloud-native microservices that help in deployment of generative AI models on GPU-accelerated workstations, cloud environments, and data centers. What is Nvidia Nim? Now that we have the API key, let’s get started.

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Revolutionizing Fine-Tuned Small Language Model Deployments: Introducing Predibase’s Next-Gen Inference Engine

Marktechpost

Predibase announces the Predibase Inference Engine , their new infrastructure offering designed to be the best platform for serving fine-tuned small language models (SLMs). The Predibase Inference Engine addresses these challenges head-on, offering a tailor-made solution for enterprise AI deployments.

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Deploying AI at Scale: How NVIDIA NIM and LangChain are Revolutionizing AI Integration and Performance

Unite.AI

However, scaling AI across an organization takes work. It involves complex tasks like integrating AI models into existing systems, ensuring scalability and performance, preserving data security and privacy, and managing the entire lifecycle of AI models.

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ODSC’s AI Weekly Recap: Week of March 8th

ODSC - Open Data Science

They are text-to-text, decoder-only large language models, available in English, with open weights, pre-trained variants, and instruction-tuned variants. gemma.cpp is a lightweight, standalone C++ inference engine for the Gemma foundation models from Google. The Open-Sora Plan project ‘s aim is to reproduce OpenAI’s Sora.