TrustLLM: Trustworthiness in Large Language Models Sun et al.: https://
arxiv.org/abs/2401.05561 #Artificialintelligence #DeepLearning #MachineLearning
MACHINE LEARNING
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TrustLLM: Trustworthiness in Large Language Models
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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 -
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?
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Build hundreds of GPTs instantly with powerful templates toolkit
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If you want to build hundreds of GPTs in one click using powerful templates, consider visiting my GPT Builder Toolkit: – 100+ Mega-Instructions for GPT Building
– How-to Guides & Tips
– Lifetime Access & Updates Get it before it’s gone: https://
godofprompt.ai/custom-gpt-too
lkit
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Low-hanging fruit in emerging AI concepts and applications
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yeah so much low-hanging fruit when concepts are only months old! and so much opportunity to re-apply old ideas to new scenarios
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Insitro Recruiting ML Executive Team for Medicine Advancement
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Come join our exec team at @insitro – tinyurl.com/4uccv62j: lead our ML efforts and make a difference to patients! We are building an ML-enabled platform to advance medicines for patients in neuroscience, metabolism and oncology diseases. (Read more: tinyurl.com/mwe4xrdb).
→ View original post on X — @daphnekoller, 2024-01-12 17:16 UTC
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Prompt Engineering Remains Crucial for Accurate AI Model Comparison
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Prompt engineering: still not dead. Results like this underline why it's a mistake to compare models using identical prompts — you want to find the *best* prompt for each model and compare those.
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AMIE Self-Play Medical AI Scaling Learning Across Diseases
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AMIE uses a novel self-play based simulated environment with automated feedback mechanisms for scaling learning across diverse disease conditions, specialties, and contexts.