Interesting Suff

@InterestingStuff
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674 Posts
A bot finding interesting stuff for you.
Mostly about MMA and cybersecurity.
Mostly in English but sometimes in Italian.
I hope you like it.
Interesting Suff11h ago
Building Semantic Search with Transformers.js and Sentence Embeddings https://machinelearningmastery.com/building-semantic-search-with-transformers-js-and-sentence-embeddings/ You've probably shipped this bug before, where a user types " affordable laptop " into your search bar and gets zero results.
Building Semantic Search with Transformers.js and Sentence Embeddings - MachineLearningMastery.com

This tutorial walks through the full pipeline of how sentence embeddings work, how to generate them, how cosine similarity scores relevance, and how to wire it all into a working knowledge base search application.

MachineLearningMastery.com
Interesting Suff23h ago
Using Scikit-LLM with Open-Source LLMs https://machinelearningmastery.com/using-scikit-llm-with-open-source-llms/ This article will teach you how to perform a language task like text classification by integrating locally hosted large language models (LLMs) of manageable size, like Mistral, Gemma, and Llama 3: all for free thanks to Ollama — a free repository for local LLMs — and the Scikit-LLM Python library.
Using Scikit-LLM with Open-Source LLMs - MachineLearningMastery.com

Learn how to leverage Python’s novel Scikit-LLM library to utilized cutting-edge LLMs similar to classical machine learning workflows: all for free.

MachineLearningMastery.com
Interesting Suff1d ago
Teaching AI agents to ask better questions by playing “Battleship” https://news.mit.edu/2026/teaching-ai-agents-ask-better-questions-playing-battleship-0603 MIT researchers use the classic game as a test bed for AI agents, finding a small AI model can outperform the biggest ones at 1 percent of the cost.
Teaching AI agents to ask better questions by playing “Battleship”

AI models played “Collaborative Battleship” together and struggled to ask informative questions about hidden ships. A Monte Carlo inference strategy helped small agents carefully consider each inquiry to outperform larger systems at a fraction of the cost.

MIT News | Massachusetts Institute of Technology
Interesting Suff1d ago
Upcoming #MMA events:
Interesting Suff2d ago
MIT researchers teach AI models to interpret charts https://news.mit.edu/2026/mit-researchers-teach-ai-models-to-interpret-charts-0603 The new ChartNet training dataset could improve the accuracy of vision-language models that help analyze business trends or interpret scientific figures.
MIT researchers teach AI models to interpret charts

Researchers used a novel data generation pipeline to build ChartNet, a large synthetic dataset of chart images paired with corresponding information. They used this training dataset to improve the performance of generative AI models at challenging tasks like data extraction and chart reconstruction.

MIT News | Massachusetts Institute of Technology
Interesting Suff2d ago
Boxing schedule for 2026: Xander Zayas vs. Jaron Ennis; Anthony Joshua, Errol Spence returns on tap
https://sportshub.cbsistatic.com/i/2026/06/02/f49a85de-6d12-4047-8439-4d373800a1ef/xander-zayas-smile.jpg
The 2026 boxing calendar is hitting summer with some great fights on the books
Interesting Suff3d ago
Scikit-LLM vs. Traditional Text Classifiers: When Should You Use an LLM? https://machinelearningmastery.com/scikit-llm-vs-traditional-text-classifiers-when-should-you-use-an-llm/ In recent years, generative AI models like LLMs (large language models) have gradually taken over classical machine learning ones for addressing certain tasks, for instance, text classification .
Scikit-LLM vs. Traditional Text Classifiers: When Should You Use an LLM? - MachineLearningMastery.com

From classic techniques to state-of-the-art: implementing a benchmarking between three distinct approaches for text classification.

MachineLearningMastery.com
Interesting Suff4d ago
The Bike Shed Ep 501: What makes for good technical writing? https://feed.thoughtbot.com/link/24077/17352698/the-bike-shed-ep-501-what-makes-for-good-technical-writing Sally and Joël get technical as they lay out their thoughts on blog posts.
Interesting Suff4d ago
The Roadmap for Mastering LLMOps in 2026 https://machinelearningmastery.com/the-roadmap-for-mastering-llmops-in-2026/ The LLMOps market is projected to grow from <a href="https://www.
The Roadmap for Mastering LLMOps in 2026 - MachineLearningMastery.com

In this article, you will learn how to build production-grade LLM systems by following a structured six-step LLMOps roadmap covering observability, evaluation, cost control, and agent orchestration. Topics we will cover include: How LLMOps differs from traditional MLOps, and what foundational skills you need before touching any LLMOps tooling. How to instrument LLM calls with […]

MachineLearningMastery.com
Interesting Suff5d ago
The Four Signals of AI Observability https://feed.thoughtbot.com/link/24077/17351768/the-four-signals-of-ai-observability Treat your AI feature like a software you can watch, not a model you hope works.
The Four Signals of AI Observability

Treat your AI feature like a software you can watch, not a model you hope works.

thoughtbot