At Cohere, we implement the T-Few technique (Liu et al., 2022) for training and serving custom models. In this blog post, we delve into the concept of T-Few finetuning, explore its benefits, and explain our implementation workflow.
RESEARCH
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Honored to be included on TIME100 AI 2023 list
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Honored to be included on @TIME
's list of the TIME100 AI of 2023! #TIME100AI -

Deep Learning and Supervised Learning: Essential AI Concepts
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Nouvelle vidéo en français! L’IA est un mauvais élève… Le Deep Learning (apprentissage profond) et apprentissage supervisé : ce que vous devez savoir! Apprenez-en plus dans la vidéo! https://
youtu.be/KXqp1gyo_N4 #ia #technologies #technologie -

Probabilistic Machine Learning for Climate Science Explored
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Session on exploring probabilistic machine learning in climate science by the excellent @rendx This morning at @DeepIndaba
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ECMWF Operationalizes AI Weather Forecasting with FourCastNet
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Thank you @ECMWF for your leadership in operationalizing the #AI methods for weather forecasting including FourCastNet from @nvidia Earth-2, which was the first high-resolution AI weather forecasting system. Great to see rapid progress and adoption!
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Meaning and Context: Ultimate Luxury in Information Age
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“In the age of information overload, THE ULTIMATE LUXURY IS MEANING AND CONTEXT.” – Louis Rossetto in the first ever Wired magazine
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Real AI risks today beyond extinction scenarios
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Forget human extinction – these are the real risks posed by AI today https://
bit.ly/3rUM3Ki
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Synthetic Biology and AI Accelerating Innovation Together
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Synthetic biology and AI are interacting and driving each other forward – the pace of innovation is electrifying spoke with @DavidWestin and @RomaineBostick about the unique benefits and risks of this tech working together:
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AI Reveals Underrepresentation of Black and Brown Skin in Medical Training
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Using an AI model, researchers found just how underrepresented black and brown skin is in frequently used medical training materials. https://
stanford.io/3Rcbulg -
AGI Faith vs Innovation: Need for Respectful Disagreement
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Note having people on staff who respectfully disagree with the cult-like stance would provide greater innovation and understanding overall. But blind faith in a heretofore not universally defined definition of AGI makes it a cult versus an open, non proselytizing faith.