Remove AI Modeling Remove Deep Learning Remove Natural Language Processing
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How to Build LLM Apps Using Vector Database?

Analytics Vidhya

Introduction In the field of artificial intelligence, Large Language Models (LLMs) and Generative AI models such as OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Llama, Falcon, Google’s Palm, etc., LLMs use deep learning techniques to perform natural language processing tasks.

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Redefining Xbox Game Development: How Microsoft’s Muse is Transforming Game Creation

Unite.AI

However, while generative AI has a huge potential to transform game development, current generative AI models struggle with complex, dynamic environments. Recognizing these challenges, Microsoft has started its journey towards building generative AI for game development.

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Huawei’s Ascend 910C: A Bold Challenge to NVIDIA in the AI Chip Market

Unite.AI

The Artificial Intelligence (AI) chip market has been growing rapidly, driven by increased demand for processors that can handle complex AI tasks. The need for specialized AI accelerators has increased as AI applications like machine learning, deep learning , and neural networks evolve.

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

Unite.AI

However, as AI becomes more powerful, a major problem of scaling these models efficiently without hitting performance and memory bottlenecks has emerged. For years, deep learning has relied on traditional dense layers, where every neuron in one layer is connected to every neuron in the next.

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Top 10 Free AI Playgrounds For You to Try

Marktechpost

An AI playground is an interactive platform where users can experiment with AI models and learn hands-on, often with pre-trained models and visual tools, without extensive setup. It’s ideal for testing ideas, understanding AI concepts, and collaborating in a beginner-friendly environment.

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This AI Paper from MIT and UCL Introduces a Diagrammatic Approach for GPU-Aware Deep Learning Optimization

Marktechpost

Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than pure processing power. Check out the Paper.

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AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Journey to AI blog

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. Machine learning is a subset of AI. What is artificial intelligence (AI)?