30 November 2024
Daniele Moltisanti
7 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
29 November 2024
Daniele Moltisanti
14 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
28 November 2024
Daniele Moltisanti
9 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
20 November 2024
Daniele Moltisanti
14 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
30 October 2024
Daniele Moltisanti
16 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
11 October 2024
Daniele Moltisanti
19 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
20 September 2024
Daniele Moltisanti
11 min
Microsoft Open-Sources BitNet: A 1-Bit LLM Framework Revolutionizing AI Efficiency
Microsoft open-sources BitNet, a 1-bit LLM framework that optimizes AI efficiency by reducing memory and energy demands. Learn how BitNet is transforming large language models
12 September 2023
Daniele Moltisanti
39 min
The Power of Synthetic Data: Enhancing AI Model
Unlock AI's potential with synthetic data. Explore GANs, VAEs, and Diffusion Models, code examples, and quality checks. Elevate your AI's performance!
12 April 2023
Daniele Moltisanti
8 min
Elevate Your Time Series Analytics with Temporal Fusion Transformer
Time series analysis made easy with Temporal Fusion Transformer. Discover its versatility and improve your decision-making process
24 March 2023
Marcello Politi
11 min
TensorFlow CNN for Multilabel Image Classification Task
TensorFlow CNN for Multilabel Image Classification Task
15 March 2023
Francesco Di Salvo
6 min
Contextualized Embeddings with ELMo
Discover the power of ELMo, the state-of-the-art deep-learning model that generates contextualized word representations for improved natural language processing tasks.
21 February 2023
Francesco Di Salvo
6 min
Increase your productivity with your own PyTorch template
Enhance productivity with a custom PyTorch deep learning pipeline. Streamline model experimentation, secure reproducibility, and tailor to your needs.
13 February 2023
Gabriele Cola
4 min
Why Software Engineering is important in Data Science
Software engineering is an important aspect of the data science field that helps to ensure the development of high-quality, scalable, and maintainable systems
02 February 2023
Daniele Moltisanti
5 min
Using Autoencoders for Anomaly Detection in Strong Unbalanced Datasets
Anomaly detection is a critical task in various domains such as fraud detection, network intrusion detection, and medical diagnosis. One of the main challenges in anomaly detection is dealing with strong unbalanced datasets, where the number of anomalous examples is significantly smaller than the number of normal examples.
24 January 2023
Matteo Villosio
7 min
Measure the distance between documents with cosine similarity
Discover Cosine Similarity in NLP: Outperforms Euclidean, ideal for sparse data. Learn about its computation, benefits, and use in document comparison