The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
At Sakana AI, we have pioneered the use of nature-inspired methods to advance cutting-edge foundation models. Earlier this year, we developed methods to automatically merge the knowledge of multiple LLMs. In more recent work, we harnessed LLMs to discover new objective functions for tuning other LLMs. Throughout these projects, we have been continuously surprised by the creative capabilities of cu
Japan’s push to make all research open access is taking shape
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Elicit: The AI Research Assistant
Automate time-consuming research tasks like summarizing papers, extracting data, and synthesizing your findings.
Self-Rewarding Language Models
We posit that to achieve superhuman agents, future models require superhuman feedback in order to provide an adequate training signal. Current approaches commonly train reward models from human preferences, which may then be bottlenecked by human performance level, and secondly these separate frozen reward models cannot then learn to improve during LLM training. In this work, we study Self-Rewardi
Retentive Network: A Successor to Transformer for Large Language Models
In this work, we propose Retentive Network (RetNet) as a foundation architecture for large language models, simultaneously achieving training parallelism, low-cost inference, and good performance. We theoretically derive the connection between recurrence and attention. Then we propose the retention mechanism for sequence modeling, which supports three computation paradigms, i.e., parallel, recurre
Defining, Measuring, and Managing Technical Debt
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GitHub - facundoolano/software-papers: 📚 A curated list of papers for Software Engineers
A curated list of papers that may be of interest to Software Engineering students or professionals. See the sources and selection criteria below. List of papers by topic Von Neumann's First Computer Program. Knuth (1970). Computer History; Early Programming The Education of a Computer. Hopper (1952). Recursive Programming. Dijkstra (1960). Programming Considered as a Human Activity. Dijkstra (1965
Paper to HTML | Allen Institute for AI
Paper to HTML Converter Paper to HTML is an experimental prototype that aims to render scientific papers in HTML so they can be more easily read by screen readers or on mobile devices. Because of our reliance on statistical machine learning techniques, some errors are inevitable. We are continuing to improve upon our models. To use, upload a scientific paper below, or view a gallery of example pap
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RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation
https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=802fed876e180f32c06ede4d1cc951ba44f79dd2
Wearing an eye mask during overnight sleep improves episodic learning and alertness - PubMed
Unikernel Linux (UKL)
Typst: Compose papers faster
Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service00413-3%2Fpdf)
Strategies for building an effective mentoring relationship
http://arxiv.org/pdf/2201.03051
https://vldb.org/pvldb/vol15/p21-skiadopoulos.pdf
A comparative study of vulnerability reporting by software composition analysis tools
HTTPA: HTTPS Attestable Protocol
Bahis Sitesi Ä°ncelemeleri - Bahis.Market
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