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LLM2LLM: UC Berkeley, ICSI and LBNL Researchers’ Innovative Approach to Boosting Large Language Model Performance in Low-Data Regimes with Synthetic Data
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The Idea of Compiler-Generated Feedback for Large Language Models
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How Adobe’s bet on non-exploitative AI is paying off
Adobe’s image-generating model Firefly, integrated into Photoshop, is built on licensed data, standing out in how generative AI products can be developed without scraping copyrighted material from the web. With an emphasis on responsible tech and fair compensation for creators, Adobe’s approach sets a new standard in the industry, addressing societal and business goals.
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DomainLab: A Modular Python Package for Domain Generalization in Deep Learning
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Meet Quivr: An Open Source RAG Framework with 38k+ Github Stars
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Microsoft AI Proposes CoT-Influx: A Novel Machine Learning Approach that Pushes the Boundary of Few-Shot Chain-of-Thoughts (CoT) Learning to Improve LLM Mathematical Reasoning
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DenseFormer by EPFL Researchers: Enhancing Transformer Efficiency with Depth-Weighted Averages for Superior Language Modeling Performance and Speed
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Meet Claude-Investor: The First Claude 3 Investment Analyst Agent Repo
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Transforming High-Dimensional Optimization: The Krylov Subspace Cubic Regularized Newton Method’s Dimension-Free Convergence
“`html Transforming High-Dimensional Optimization: The Krylov Subspace Cubic Regularized Newton Method’s Dimension-Free Convergence Searching for efficiency in the complex optimization world leads researchers to explore methods that promise rapid convergence without the burdensome computational cost typically associated with high-dimensional problems. Researchers from UT Austin, Amazon Web Services, Technion, the University of Minnesota, and EPFL have…
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Enhancing User Agency in Generative Language Models: Algorithmic Recourse for Toxicity Filtering