Local LLMs prioritize privacy over security. Our research reveals a 95% backdoor injection success rate. If you’re running a local LLM for privacy and security, you need to read this

As more and more of us use Large Language Models (LLMs) for daily tasks, their potential biases become increasingly important. We investigated whether today’s leading models, such as those from OpenAI, Google, and others, exhibit ideological leanings. Our results reveal that LLMs are not ideologically uniform. Different models displayed distinct “personalities”, with some favouring progressive, libertarian, or regulatory stances, for example, while others frequently refused to answer.

An honest to god, non-algorithmic reverse chrono list of tech news that passes my signal-to-noise tests, updated hourly. A lightweight a page design as I’ve been able to keep; simple, clean, fast. No commercial features or aspirations - this is a passion project, something I’ve been fooling around with on and off for decades.

There’s a “Top” view too with an LLM edited front page & summary, and categorized views for a large number of topics - see the Directory. A few more buried features to explore, but the fundamental use case is pop in, scan, exit - fast and concise.

Gemini still has treasures.

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems. The rag-cookbooks GitHub repository provides a collection of Jupyter notebooks offering tutorials, best practices, and practical use cases for implementing Retrieval Augmented Generation (RAG) systems.

The impact of AI on the workforce will be influenced by what different institutions throughout society—including businesses, nonprofit institutions, worker organizations, colleges and universities, and government—choose to do to guide its development and use.

Psst, kid, want some cheap and small LLMs? This blog post provides a comprehensive guide on how to set up and use llama.cpp, a C++ library, to efficiently run large language models (LLMs) locally on consumer hardware.

This Nature Neuroscience article discusses the emerging role and potential applications of large language models (LLMs) in accelerating research and advancing understanding within the field of neuroscience.

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