Remove 2024 Remove AI Modeling Remove Inference Engine
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IBM Releases Granite 3.0 2B and 8B AI Models for AI Enterprises

Marktechpost

Organizations require models that are adaptable, secure, and capable of understanding domain-specific contexts while also maintaining compliance and privacy standards. Traditional AI models often struggle with delivering such tailored performance, requiring businesses to make a trade-off between customization and general applicability.

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Mistral AI Introduces Les Ministraux: Ministral 3B and Ministral 8B- Revolutionizing On-Device AI

Marktechpost

High-performance AI models that can run at the edge and on personal devices are needed to overcome the limitations of existing large-scale models. These models require significant computational resources, making them dependent on cloud environments, which poses privacy risks, increases latency, and adds costs.

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OpenAI Introduces ChatGPT Windows App

Marktechpost

The ChatGPT Windows app delivers a native desktop experience for users, designed to improve interaction with the AI model. With the release of this dedicated app, OpenAI aims to extend the reach and convenience of its conversational AI. If you like our work, you will love our newsletter.

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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. If you like our work, you will love our newsletter.

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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. Finally, the “ Omni-Alignment ” stage combines image, video, and audio data for comprehensive multimodal learning.

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How NVIDIA Nim Can Revolutionize Deployment of Generative AI applications?

Towards AI

Last Updated on July 3, 2024 by Editorial Team Author(s): Suhaib Arshad Originally published on Towards AI. Image source) There has been a drastic increase in number of generative AI products since the debut of ChatGPT in 2022. What is Nvidia Nim?

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Refined Local Learning Coefficients (rLLCs): A Novel Machine Learning Approach to Understanding the Development of Attention Heads in Transformers

Marktechpost

By allowing the model to focus on the most relevant parts of the data, transformers can perform complex tasks that require understanding and prediction across various domains. One major issue in AI model development is understanding how internal components, such as attention heads in transformers, evolve and specialize during training.