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Top 30 Artificial Intelligence (AI) Tools for Data Analysts
The development of Artificial Intelligence (AI) tools has transformed data processing, analysis, and visualization, increasing the efficiency and insight of data analysts’ work. With so many ...
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SmolLM2 Released: The New Series (0.1B, 0.3B, and 1.7B) of Small Language Models for On-Device Applications and Outperforms Meta Llama 3.2 1B
In recent years, the surge in large language models (LLMs) has significantly transformed how we approach natural language processing tasks. However, these advancements are not without their drawbacks.
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PAPILLON: A Privacy-Focused AI Solution that Blends Local and Proprietary Models to Deliver Safe and Accurate Language Model Outputs
Artificial intelligence has recently expanded its role in areas that handle highly sensitive information, such as healthcare, education, and personal development, through advanced language models ...
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Run AI Open Sources Run:ai Model Streamer: A Purpose-Built Solution to Make Large Models Loading Faster, and More Efficient
In the fast-moving world of artificial intelligence and machine learning, the efficiency of deploying and running models is key to success. For data scientists and machine learning engineers, one of ...
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CHESTNUT: A QoS Dataset for Mobile Edge Environments
Quality of Service (QoS) is a very important metric used to evaluate the performance of network services in mobile edge environments where mobile devices frequently request services from edge servers.
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AUTO-CEI: A Curriculum and Expert Iteration Approach to Elevate LLMs’ Response Precision and Control Refusal Rates Across Diverse Reasoning Domains
Large language models (LLMs) are increasingly utilized for complex reasoning tasks, requiring them to provide accurate responses across various challenging scenarios. These tasks include logical ...
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This AI Paper Reveals the Inner Workings of Rotary Positional Embeddings in Transformers
Rotary Positional Embeddings (RoPE) is an advanced approach in artificial intelligence that enhances positional encoding in transformer models, especially for sequential data like language.
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OpenAI Releases SimpleQA: A New AI Benchmark that Measures the Factuality of Language Models
The rise of large language models has been accompanied by significant challenges, particularly around ensuring the factuality of generated responses. One persistent issue is that these models can ...
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Meta AI Releases MobileLLM 125M, 350M, 600M and 1B Model Checkpoints
The widespread adoption of large language models (LLMs) has ushered in significant advancements across fields such as conversational AI, content generation, and on-device applications. However, the ...
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XElemNet: A Machine Learning Framework that Applies a Suite of Explainable AI (XAI) for Deep Neural Networks in Materials Science
Deep learning has made advances in various fields, and it has made its way into material sciences as well. From tasks like predicting material properties to optimizing compositions, deep learning has ...
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MaskGCT: A New Open State-of-the-Art Text-to-Speech Model
In recent years, text-to-speech (TTS) technology has made significant strides, yet numerous challenges still remain. Autoregressive (AR) systems, while offering diverse prosody, tend to suffer from ...
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Meta AI Releases LongVU: A Multimodal Large Language Model that can Address the Significant Challenge of Long Video Understanding
Understanding and analyzing long videos has been a significant challenge in AI, primarily due to the vast amount of data and computational resources required. Traditional Multimodal Large Language ...