Data Selection for domain-specific art is an intricate craft, especially if we want to get the desired …
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JetBrains Researchers Introduce CoqPilot: A Plugin for LLM-Based Generation of Proofs
by Techaiappby Techaiapp 4 minutes readIn recent years, formal software verification has gained prominence, especially in fields where software reliability is critical, …
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Researchers from Intel and Salesforce Propose SynthKG: A Multi-Step Document-Level Ontology-Free Knowledge Graphs Synthesis Workflow based on LLMs
by Techaiappby Techaiapp 6 minutes readKnowledge Graph (KG) synthesis is gaining traction in artificial intelligence research because it can construct structured knowledge …
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Google Researchers Introduce UNBOUNDED: An Interactive Generative Infinite Game based on Generative AI Models
by Techaiappby Techaiapp 3 minutes readGames can be thought of as either finite or infinite. Finite games are structured around achieving a …
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UC Berkeley Researchers Propose DocETL: A Declarative System that Optimizes Complex Document Processing Tasks using LLMs
by Techaiappby Techaiapp 4 minutes readLarge Language Models (LLMs) have gained significant attention in data management, with applications spanning data integration, database …
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NVIDIA Researchers Introduce Order-Preserving Retrieval-Augmented Generation (OP-RAG) for Enhanced Long-Context Question Answering with Large Language Models (LLMs)
by Techaiappby Techaiapp 4 minutes readRetrieval-augmented generation (RAG), a technique that enhances the efficiency of large language models (LLMs) in handling extensive …
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MIT researchers use large language models to flag problems in complex systems | MIT News
by Techaiappby Techaiapp 5 minutes readIdentifying one faulty turbine in a wind farm, which can involve looking at hundreds of signals and …
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NVIDIA Researchers Introduce Order-Preserving Retrieval-Augmented Generation (OP-RAG) for Enhanced Long-Context Question Answering with Large Language Models (LLMs)
by Techaiappby Techaiapp 4 minutes readRetrieval-augmented generation (RAG), a technique that enhances the efficiency of large language models (LLMs) in handling extensive …
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TECH
MIT Researchers Introduce Stochastic Quantum Signal Processing (QSP) as a Randomly-Compiled Version of QSP, and Reduce the Cost of QSP-based Algorithms by a Factor of 1/2
by Techaiappby Techaiapp 4 minutes readClassical randomness has emerged as an important tool in addressing the challenge of designing quantum protocols and …
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