lakera.ai
Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.
llama.cpp guide
llama.cpp guide is a blog post on SteelPh0enix's blog that explains how to run large language models (LLMs) locally on any hardware using llama.cpp. Published on 2024-10-28 and updated on 2024-12-25, the guide covers building llama.cpp, obtaining and quantizing models, running the server, configuring settings, and hardware requirements.
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Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.
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0Q, ChatGPT for Slack is an officially approved Slack app powered by OpenAI. Users interact with it using @Q in channels or without @Q in direct messages, and it offers plugins such as Google search and document search. It includes a 14-day free trial with no credit card required.
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0Apache Mahout builds an environment for quickly creating scalable, performant machine learning applications. Its current work centers on quantum machine learning in Python, with Qumat, a high-level library for writing quantum circuits once and running them on supported backends, and QDP, a GPU-accelerated engine that turns classical data into quantum states. The earlier Mahout Classic codebase is in maintenance mode.
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0The Pile is an 825 GiB open source language modelling data set made of 22 smaller high-quality datasets combined together. It is offered as a training set and as a benchmark, and is distributed as jsonlines data compressed with zstandard.
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0FigureLabs is an AI scientific figure generator that creates illustrations, flowcharts and plots. It accepts text, sketches, lab photos, spreadsheets, PDFs or reference figures as input, then allows editing of text, colors, backgrounds and resolution on a canvas. Figures can be exported as editable PPTX or SVG, or as PNG and JPG images.
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0LAION, the Large-scale Artificial Intelligence Open Network, is a non-profit organization that provides datasets, tools and models to support open machine learning research. Its offerings include the LAION-400M dataset of 400 million English image-text pairs, LAION-5B of 5.85 billion multilingual CLIP-filtered pairs, and the CLIP H/14 vision transformer model.
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