Tab-CoT: Zero-shot Tabular Chain of Thought propose a new Chain-of-Thought framework Tab-CoT, which use a tabular format to conduct complex reasoning process in a highly structured manner. Despite its simplicity, we show that our approach is capable of performing reasoning
LLMS
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Display Number of Parameters Using Safetensors
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We’ll display number of params soon! Thanks to safetensors
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Process Supervision Achieves State-of-Art Mathematical Reasoning
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We trained an AI using process supervision — rewarding the thought process rather than the outcome — to achieve new state-of-art in mathematical reasoning. Encouraging sign for alignment of advanced AIs: …
https://
openai.com/research/impro
ving-mathematical-reasoning-with-process-supervision
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Text Splitting: Crucial Preprocessing for RAG Systems
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A underrated part of the preprocessing pipeline, proper splitting of text allows for maintaining semantically meaningful chunks This is crucial when doing retrieval augmented generation in order to ensure the proper context is inserted into the prompt
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GPT-4 Code Quality Decline Reported by Users
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I’ve definitely noticed the quality of GPT-4’s code go down the last few weeks. Anyone else? I hope they fix it!
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ChatGPT vs Bing Chat vs Google Bard: Best AI Chatbot
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ChatGPT vs Bing Chat vs Google Bard: Which is the best AI chatbot?
#ai #ArtificialIntelligence #MachineLearning #deeplearning #google #Bing #ChatGPT https://
buff.ly/3C0FR5c -
Grammar Prompting for Domain-Specific Language Generation with LLMs
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Grammar Prompting for Domain-Specific Language Generation with Large Language Models Large language models (LLMs) can learn to perform a wide range of natural language tasks from just a handful of in-context examples. However, for generating strings from highly structured
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Transformers’ Limitations in Compositional Reasoning Tasks
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Faith and Fate: Limits of Transformers on Compositionality Transformer large language models (LLMs) have sparked admiration for their exceptional performance on tasks that demand intricate multi-step reasoning. Yet, these models simultaneously show failures on surprisingly
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PaLI-X: Scaling Multilingual Vision and Language Models
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PaLI-X: On Scaling up a Multilingual Vision and Language Model present the training recipe and results of scaling up PaLI-X, a multilingual vision and language model, both in terms of size of the components and the breadth of its training task mixture. Our model achieves new
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Enterprise Guide to Generative AI Conversational Systems
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What Enterprises Should Know About Generative AI-Powered Conversational Systems
#AI #AIio #BigData #ML #NLU #Futureofwork @ahier @guzmand
@DavidBrin @denisegarth @dez_blanchfield @diioannid @DioFavatas @gerald_bader http://
ow.ly/ymzs30svtpV