A protein located in the wrong part of a cell can contribute to several diseases, such as …
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Researchers
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CMU Researchers Propose QueRE: An AI Approach to Extract Useful Features from a LLM
by Techaiappby Techaiapp 4 minutes readLarge Language Models (LLMs) have become integral to various artificial intelligence applications, demonstrating capabilities in natural language …
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Researchers from Princeton University Introduce Metadata Conditioning then Cooldown (MeCo) to Simplify and Optimize Language Model Pre-training
by Techaiappby Techaiapp 4 minutes readThe pre-training of language models (LMs) plays a crucial role in enabling their ability to understand and …
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AWS Researchers Propose LEDEX: A Machine Learning Training Framework that Significantly Improves the Self-Debugging Capability of LLMs
by Techaiappby Techaiapp 4 minutes readCode generation using Large Language Models (LLMs) has emerged as a critical research area, but generating accurate …
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Researchers at Stanford Present ZIP-FIT : A Novel Data Selection AI Framework that Chooses Compression Over Embeddings to Finetune Models on Domain Specific Tasks
by Techaiappby Techaiapp 4 minutes readData 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 …
