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Articoli sui LLM
Resta aggiornato sulle tecniche, sugli strumenti e sulla ricerca più recenti sui Large Language Models. Nel nostro blog parliamo di data science, casi d’uso e pratiche di IA responsabile.
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Top 30 RAG Interview Questions and Answers for 2026
Get ready for your AI interview with 30 key RAG interview questions that cover foundational to advanced concepts.
Ryan Ong
22 gennaio 2026
OpenAI o1 Guide: How It Works, Use Cases, API & More
OpenAI o1 is a new series of models from OpenAI excelling in complex reasoning tasks, using chain-of-thought reasoning to outperform GPT-4o in areas like math, coding, and science.
Richie Cotton
Josef Waples
Alex Olteanu
6 dicembre 2024
AI Chips Explained: How AI Chips Work, Industry Trends, Applications
AI chips are specialized processors designed to accelerate the execution of artificial intelligence tasks, typically involving large-scale matrix operations and parallel processing.
Bhavishya Pandit
29 agosto 2024
SAM 2: Getting Started With Meta's Segment Anything Model 2
Meta AI's SAM 2 (Segment Anything Model 2) is the first unified model capable of segmenting any object in both images and videos in real-time.
Dr Ana Rojo-Echeburúa
28 agosto 2024
LLM Distillation Explained: Applications, Implementation & More
Distillation is a technique in LLM training where a smaller, more efficient model (like GPT-4o mini) is trained to mimic the behavior and knowledge of a larger, more complex model (like GPT-4o).
Stanislav Karzhev
28 agosto 2024
13 LLM Projects For All Levels: From Low-Code to AI Agents
Discover 13 LLM project ideas with easy-to-follow guides and code. Build RAG systems, AI apps, and autonomous agents using DeepSeek, LangGraph, and OpenAI.
Abid Ali Awan
28 gennaio 2026
What Are Vector Embeddings? An Intuitive Explanation
Vector embeddings are numerical representations of words or phrases that capture their meanings and relationships, helping machine learning models understand text more effectively.
Tom Farnschläder
13 agosto 2024
Mixture of A Million Experts (MoME): Key Concepts Explained
MoME (Mixture of Million Experts) is a scalable language model using Mixture of Experts (MoE) with a routing mechanism called PEER to efficiently utilize millions of specialized networks.
Bhavishya Pandit
13 agosto 2024
Top 35 AI Interview Questions and Answers For All Skill Levels in 2026
Ace your AI interview with our comprehensive guide. Explore technical and scenario-based questions and answers to increase confidence and unlock your potential.
Vinod Chugani
15 gennaio 2026
What Is OpenAI's Sora? How It Works, Examples, Features
Discover OpenAI’s Sora through example videos and explore its features, including Remix, Re-cut, Loop, Storyboard, Blend, and Style Preset.
Richie Cotton
Matt Crabtree
9 dicembre 2024
Everything We Know About GPT-5
Learn how GPT-5 will evolve into a unified system with advanced features, targeting a summer 2025 release, based on OpenAI’s latest roadmap and GPT history.
Josep Ferrer
21 febbraio 2025
What is Retrieval Augmented Generation (RAG)?
Learn how Retrieval Augmented Generation (RAG) enhances large language models by integrating external data sources.
Natassha Selvaraj
14 marzo 2025