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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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Claude is Now Available on GitHub Copilot: A New Era for AI-Assisted Coding
The rise of AI-assisted coding has undoubtedly revolutionized software development, but not without its challenges. One of the main pain points for developers has been the lack of choice and ...
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Mini-InternVL: A Series of Multimodal Large Language Models (MLLMs) 1B to 4B, Achieving 90% of the Performance with Only 5% of the Parameters
Multimodal large language models (MLLMs) rapidly evolve in artificial intelligence, integrating vision and language processing to enhance comprehension and interaction across diverse data types. These ...
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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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Top 10 Platforms to Practice Python
Python is a high-level, flexible programming language that is well-known for its extensive ecosystem, ease of use, and readability. Python’s vast libraries and frameworks offer advanced capabilities ...
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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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AutoRAG: An Automated Tool for Optimizing Retrieval-Augmented Generation Pipelines
Retrieval-Augmented Generation (RAG) is a framework that enhances language models by combining two main components: Retriever and Generator. A RAG pipeline combines the retriever and generator in an ...