Super cool work, congrats!! Has implications on alignment
RESEARCH
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TrustLLM: Trustworthiness in Large Language Models
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TrustLLM: Trustworthiness in Large Language Models Sun et al.: https://
arxiv.org/abs/2401.05561 #Artificialintelligence #DeepLearning #MachineLearning -
Reranking Optimization: Improving Search Relevance with NLP
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Using reranking in a search system pipeline changes the order of results to optimize their relevance and greatly increase search performance. Watch NLP Expert @JayAlammar explain how reranking works.
— Cohere (@cohere) 13 janvier 2024
Learn more about Cohere's Rerank: https://t.co/ANpUYmpx5z. pic.twitter.com/2MtISMfyqZUsing reranking in a search system pipeline changes the order of results to optimize their relevance and greatly increase search performance. Watch NLP Expert @JayAlammar explain how reranking works. Learn more about Cohere's Rerank: https://
txt.cohere.com/rerank/. -
Chain-of-Table: Evolving Tables in Reasoning Chain
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Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding Wang et al.: https://
arxiv.org/abs/2401.04398 #ArtificialIntelligence #DeepLearning #MachineLearning -
Research Advances Large Language Models Beyond Humanlike Responses
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There’s a lot of buzz around the ability of large language models to generate humanlike responses to prompts. But this research project goes further: https://
stanford.io/3ShtNpq -
AI Designed Catheter Reduces Bacterial Contamination by 100x
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Thank you @sciam for covering our recent work on using #AI to design catheter that cuts down bacterial contamination by 100 times. "with help from artificial intelligence, researchers have designed a new catheter that they say could reduce bacterial contamination by up to two
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Graphene shows promise for next-generation semiconductor applications
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Research in graphene — the same substance found in common pencil lead– shows new potential for use in semiconductors, @bellelin_ reports. @GeorgiaTech @Nature #semiconductors #CIO
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GPU Processor Demand Surge in AI Trends 2024
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AI trends to watch in 2024: @StanfordHAI senior fellow @Rbaltman sees increasing pressure for more GPU processors developing this year. https://
stanford.io/3vuLrNn -
NeurIPS Podcast: Large-Scale Model Research with Joel Hestness
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The latest @latentspacepod podcast interviewed our principal scientist Joel Hestness at NeurIPS covering all the large scale model work we are doing. Check it out!
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Performance impact quantization 16-bit versus 4-bit models
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what's the performance dropoff from 16 bits to 4?