Chain-of-Verification Reduces Hallucination in Large Language Models https://
arxiv.org/abs/2309.11495 @shehzaadzd Mojtaba Komeili @jingxu_ml @robertarail Xian Li @real_asli @jaseweston
GENERATIVE AI
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Chain-of-Verification Reduces Hallucination in Large Language Models
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Chain of Density: Advanced GPT-4 Summarization Technique
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From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting https://
arxiv.org/abs/2309.04269 @GriffinAdams92 Alexander Fabbri @faisalladhak @lehmer16 @noemieelhadad -
Large Language Models as Optimizers Research Paper
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Large Language Models as Optimizers https://
arxiv.org/abs/2309.03409 @chengrun_yang Xuezhi Wang @yifenglou @Hanxiao_6 @quocleix @denny_zhou @xinyun_chen_ -
Headless Language Models: Learning Without Predicting
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Headless Language Models: Learning without Predicting with Contrastive Weight Tying https://
arxiv.org/abs/2309.08351 @nthngdy Éric de la Clergerie @bensagot -
Data Pruning Strategies for Large Language Model Pretraining
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When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale https://
cohere.com/research/paper
s/when-less-is-more-investigating-data-pruning-for-pretraining-llms-at-scale-2023-09-08
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RAG Reranking: Enhancing Retrieval with Pinecone Cohere
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RAG with reranking – leveraging @pinecone and @cohere Reranking is a retrieval technique that performs an additional step on top of retrieved results This step uses a separate model to rerank the results, making sure the most relevant ones surface to the top @jamescalam
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Google Research Event Showcases AI Climate Education Healthcare Innovations
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Research@ NYC has come to a close! The event highlighted how researchers at Google are exploring innovations in climate, education, generative AI, health, & more — important work they're doing at Google to help define the technology of today & tomorrow.
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Exciting New AI Paradigm Developments and Opportunities
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It is! Very exciting and fun to try though, especially with the new AI paradigm.
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POTUS AI Policy: Data Access, Bias, and Energy-Efficient Computing
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IMO it’s great to see @potus take a proactive stance on good foundations for advanced AI. We also need action on data access, bias, incentives for AI that consumes less energy (lower carbon footprint) with lower computational resources to scale around the edge (devices). This
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SDXL Fine-Tuned on Toy Story Characters Generates Quirky Images
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I trained SDXL on the slightly weird looking people from Toy Story (1995). Inspired by @skirano
’s really good Toy Story tune. Just more weird. https://
replicate.com/fofr/sdxl-toy-
story-people
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