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Recently, AI large language models (LLMs) have been performing remarkably well in various tasks, effortlessly writing poetry, coding, and chatting; they seem to be capable of anything! But can you believe it? These 'genius' AIs are actually 'math novices'! They often fail dramatically when tackling simple arithmetic problems, leaving people astonished. A recent study unveiled the 'quirky' secret behind LLMs' arithmetic reasoning abilities: they rely neither on powerful algorithms nor solely on memory, but instead adopt a strategy known as 'heuristic hodgepodge'!

Neo4j has introduced a significant upgrade to its fully managed cloud graph database service AuraDB, greatly enhancing usability and data processing efficiency, achieving a 15-fold improvement in data reading capability. The upgraded version introduces a generative AI assistant that uses OpenAI’s large language model to provide real-time query optimization, explanations, and suggestions, helping users quickly extract data insights by generating Cypher query code with just natural language questions. Additionally, the new NeoDash tool allows users to operate without coding.

How to transform chaotic data into useful information is becoming increasingly important. Recently, Neo4j introduced a brand-new tool – the Neo4j LLM Knowledge Graph Builder, which can easily convert unstructured data into structured knowledge graphs, making data processing more efficient.Product Access: https://top.aibase.com/tool/llm-graph-builder The Neo4j LLM Knowledge Graph Builder leverages a series of powerful machine learning models, including OpenAI, Gemini, Llama3, etc. Through these