Remove Computer Vision Remove Large Language Models Remove Natural Language Processing
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Huawei’s Ascend 910C: A Bold Challenge to NVIDIA in the AI Chip Market

Unite.AI

The Ascend 910C delivers high computational power, consuming around 310 watts. The chip is designed for flexibility and scalability, enabling it to handle various AI workloads such as Natural Language Processing (NLP) , computer vision , and predictive analytics.

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10 Best JavaScript Frameworks for Building AI Systems (October 2024)

Unite.AI

The ecosystem has rapidly evolved to support everything from large language models (LLMs) to neural networks, making it easier than ever for developers to integrate AI capabilities into their applications. The framework's strength lies in its simplicity and pre-trained models optimized for creative applications.

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Exploring Parameter-Efficient Fine-Tuning Strategies for Large Language Models

Marktechpost

Large Language Models (LLMs) signify a revolutionary leap in numerous application domains, facilitating impressive accomplishments in diverse tasks. Yet, their immense size incurs substantial computational expenses. With billions of parameters, these models demand extensive computational resources for operation.

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Google DeepMind Researchers Propose Optimization by PROmpting (OPRO): Large Language Models as Optimizers

Marktechpost

With the constant advancements in the field of Artificial Intelligence, its subfields, including Natural Language Processing, Natural Language Generation, Natural Language Understanding, and Computer Vision, are getting significantly popular.

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Can a Language Model Revolutionize Radiology? Meet Radiology-Llama2: A Large Language Model Specialized For Radiology Through a Process Known as Instruction Tuning

Marktechpost

Large language models (LLMs) built on transformers, including ChatGPT and GPT-4, have demonstrated amazing natural language processing abilities. The creation of transformer-based NLP models has sparked advancements in designing and using transformer-based models in computer vision and other modalities.

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Alix Melchy, VP of AI at Jumio – Interview Series

Unite.AI

Alix Melchy is the VP of AI at Jumio, where he leads teams of machine learning engineers across the globe with a focus on computer vision, natural language processing and statistical modeling.

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Meta AI’s Scalable Memory Layers: The Future of AI Efficiency and Performance

Unite.AI

Artificial Intelligence (AI) is evolving at an unprecedented pace, with large-scale models reaching new levels of intelligence and capability. From early neural networks to todays advanced architectures like GPT-4 , LLaMA , and other Large Language Models (LLMs) , AI is transforming our interaction with technology.