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Showing 1-12 of 36 articles for Expert
LMArena: How the Web’s Most-Watched LLM Leaderboard Works in 2025
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Expert

August 28, 2025

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Daniele Moltisanti

8 min

LMArena: How the Web’s Most-Watched LLM Leaderboard Works in 2025

LMArena (formerly Chatbot Arena) in 2025: Arena Elo, category leaderboards, new arenas, caveats, and how to pick models with human-preference data.

What is Mixture of Experts (MoE)? The Secret Behind Efficient AI Models
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Expert

January 30, 2025

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Daniele Moltisanti

5 min

What is Mixture of Experts (MoE)? The Secret Behind Efficient AI Models

Discover how Mixture of Experts (MoE) enables AI models to scale efficiently without massive computational costs. Learn how MoE works, its advantages, and real-world implementations in LLMs

Large Concept Models: Meta’s Next Frontier in AI
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Expert

December 25, 2024

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Daniele Moltisanti

5 min

Large Concept Models: Meta’s Next Frontier in AI

Explore Meta's revolutionary Large Concept Models (LCMs), their high-level abstraction, SONAR embedding space, and performance benchmarks. Discover how LCMs redefine AI capabilities with multilingual and multimodal support.

ModernBERT: Redefining Encoder-Only Transformer Models
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Expert

December 19, 2024

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Daniele Moltisanti

5 min

ModernBERT: Redefining Encoder-Only Transformer Models

Explore ModernBERT, a state-of-the-art evolution of BERT with extended context handling, architectural enhancements, and applications in NLP and code understanding. Discover its benchmarks and practical use cases.

The 2024 Gartner Hype Cycle for Generative AI: A Roadmap for Innovation
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Expert

December 15, 2024

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Daniele Moltisanti

4 min

The 2024 Gartner Hype Cycle for Generative AI: A Roadmap for Innovation

Explore Gartner's 2024 Hype Cycle for Generative AI, highlighting emerging trends, key technologies, and predictions for the future of GenAI. Learn how businesses can leverage these insights to drive innovation and growth

RAGCache: Enhancing Efficiency in Retrieval-Augmented Generation
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Expert

November 30, 2024

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Daniele Moltisanti

3 min

RAGCache: Enhancing Efficiency in Retrieval-Augmented Generation

Discover how RAGCache optimizes Retrieval-Augmented Generation by reducing latency and improving throughput, enabling more efficient AI applications

Why Conditional Data Permutations Are Essential for Accurate XAI Analysis
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Expert

November 29, 2024

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Daniele Moltisanti

4 min

Why Conditional Data Permutations Are Essential for Accurate XAI Analysis

Learn why conditional data permutations are essential for accurate XAI. Discover how they solve the problem of correlation breakdown and improve variable importance and PDP analyses

Docling: Streamlining Document Processing for Generative AI Applications
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Expert

November 28, 2024

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Daniele Moltisanti

3 min

Docling: Streamlining Document Processing for Generative AI Applications

Discover how Docling simplifies document processing for AI applications. Learn about its features, installation, usage, and practical benefits in AI model training

Genesis: Redefining Physics Simulations and AI Development
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Expert

November 22, 2024

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Daniele Moltisanti

4 min

Genesis: Redefining Physics Simulations and AI Development

Discover Genesis, the groundbreaking physics simulation platform redefining AI and robotics with unparalleled speed, generative 4D environments, and user-friendly design. Explore its features and applications today!

Meta Learning for Model Optimization: A Comprehensive Guide
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Expert

November 20, 2024

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Daniele Moltisanti

4 min

Meta Learning for Model Optimization: A Comprehensive Guide

Discover how meta-learning revolutionizes model optimization with a 3-step approach: featurizing meta-data, training a meta-learner, and searching for optimal models. Learn how this method automates AI efficiency

How to Optimally Sample Imbalanced Data Practical Guide
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Expert

October 30, 2024

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Daniele Moltisanti

4 min

How to Optimally Sample Imbalanced Data Practical Guide

Learn how to handle imbalanced data in machine learning with a step-by-step guide. Discover optimal sampling techniques, pilot models, and unbiased likelihood correction for better model performance

KnockKnock: Automate Your Machine Learning Notifications with Ease
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Expert

October 11, 2024

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Daniele Moltisanti

5 min

KnockKnock: Automate Your Machine Learning Notifications with Ease

Automate machine learning notifications with KnockKnock, a Python library that integrates with Desktop, Telegram, Email, and Slack. Save time and monitor your training scripts efficiently

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