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Words don’t come easy (… to LLMs): Universal Text-Encoding for dynamic, multi-lingual alphabets revolutionizing efficiency and effectiveness for LLM training and inference

The remarkable advancements of Large Language Models (LLMs) frequently capture attention as they become valuable collaborators in daily situations, all while progressing towards breakthroughs beyond simple language completion.
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Introducing Pharia-1-LLM: transparent and compliant

We are pleased to announce our new foundation model family that includes Pharia-1-LLM-7B-control and Pharia-1-LLM-7B-control-aligned, now publicly available under the Open Aleph License, which explicitly allows for non-commercial research and educational use.
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Quality Diversity through AI Feedback

Language models carry implicit distributional biases based on their training data, which can reinforce existing norms. In this work, we take one step towards addressing the challenge of unwanted biases by enabling language models to return outputs with a broader spectrum of attribute traits, specified by a user. This is achieved by asking language models to evaluate and modify their outputs.
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Luminous Performance Benchmarks

The research compares Luminous to the models from GPT-3 and ChatGPT developer OpenAI, among others. The scientific comparison included tasks related to text classification, evaluation, and generation, as well as answering questions about specific text contents. The result is impressive – with Luminous, a European AI language model is, for the first time, on par with the world's leading AI language models, while being much more efficient.
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Aleph Alpha and Graphcore demonstrate 80% sparsified AI Model

Aleph Alpha and our partner Graphcore are unveiling a significant advance in AI compute efficiency, with the sparsification of a 13bn parameter model down to just 2.6bn parameters.
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Luminous-Explore – A model for world-class semantic representation

AI becomes meaningfully more capable almost every month. With this new fidelity and transformative use-cases, society is rethinking the human-machine-collaboration and ethical alignment.
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Alignment and emotions for humans and AI: If we want to trust AI, we may need to hurt it

AI becomes meaningfully more capable almost every month. With this new fidelity and transformative use-cases, society is rethinking the human-machine-collaboration and ethical alignment.
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