TPOT: Automating ML Pipelines with Genetic Algorithms in Python
You can train, evaluate, and export a full ML pipeline in Python using TPOT with just a few lines of code.
You can train, evaluate, and export a full ML pipeline in Python using TPOT with just a few lines of code.
Large language models (LLMs) are based on the transformer architecture, a complex deep neural network whose input is a sequence of token embeddings.
In this article, I discuss the main problems of standard LLMs (OpenAI and the likes), and how the new generation of LLMs addresses these issues. The focus is on Enterprise LLMs. LLMs with Billions of Parameters Most of the LLMs still fall in that category. The first ones (ChatGPT) appeared around 2022, though Bert is an early precursor. Most recent books discussing LLMs still define them as transformer architecture with deep neural networks (DNNs), costly training, and reliance […]
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Technology is supercharging the attack on democracy by making it easier to spy on people, block free speech, and control what we do. The Electronic Frontier Foundation’s activists, lawyers, and technologists are fighting back. Join the movement to Take Back CTRL. DONATE TODAY Join EFF and Fight Back Take Back CTRL is EFF’s new website to give you insight into the ways that technology has become the veins and arteries of rising global authoritarianism. It’s not just because […]
Schools across Northern Europe are safely and responsibly integrating Google and Gemini for Education tools in the classroom, saving teachers and administrations signifi…
Strange as it may sound, large language models (LLMs) can be leveraged for data analysis tasks, including specific scenarios such as time series analysis.
Mistral AI has introduced Devstral 2, a next generation coding model family for software engineering agents, together with Mistral Vibe CLI, an open source command line coding assistant that runs inside the terminal or IDEs that support the Agent Communication Protocol. https://mistral.ai/news/devstral-2-vibe-cli Devstral 2 and Devstral Small 2, model sizes, context and benchmarks Devstral 2 is a 123B parameter dense transformer with a 256K token context window. It reaches 72.2 percent on SWE-bench Verified, which places it among […]
Data leakage is an often accidental problem that may happen in machine learning modeling.
In the future, tiny flying robots could be deployed to aid in the search for survivors trapped beneath the rubble after a devastating earthquake. Like real insects, these robots could flit through tight spaces larger robots can’t reach, while simultaneously dodging stationary obstacles and pieces of falling rubble. So far, aerial microrobots have only been able to fly slowly along smooth trajectories, far from the swift, agile flight of real insects — until now. MIT researchers have demonstrated […]