Blas
PulseAugur coverage of Blas — every cluster mentioning Blas across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Colibri engine enables 744B parameter LLMs on desktop via novel weight streaming
A new inference engine called Colibri allows users to run extremely large Mixture-of-Experts (MoE) models, such as those with 744 billion parameters, on standard desktop hardware. Instead of compressing the model to fit…
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AI alignment advocates call for regulation of GEMM and GEMV operations
A call has been made to regulate GEMM and GEMV operations, which are fundamental to AI alignment and model execution. The proposal suggests that entities utilizing BLAS (Basic Linear Algebra Subprograms) without proper …
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AI assists in developing Pascal version of LAPACK, aiming for GPU acceleration
A user on Mastodon is collaborating with GitHub Copilot to develop a Pascal version of the LAPACK numerical library, which is approximately 30% complete. They anticipate reaching 80% completion within two days and plan …
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AI assists programmer in creating Pascal Numeric Library, rivaling NumPy
A programmer, assisted by GitHub Copilot, has developed a comprehensive implementation of BLAS levels 1-3 in Pascal. This project aims to create a Pascal Numeric Library (PNL) that rivals the functionality of Python lib…
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Free Pascal and BLAS offer deterministic HPC for SLM projects
A user on Mastodon is exploring the use of BLAS, a set of Fortran-based matrix routines, for their Small Language Model (SLM) project. They express a preference for Free Pascal over languages like C, Python, Rust, and C…
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Free Pascal and BLAS offer faster matrix multiplication for AI development
A user explored the performance of Python for AI tasks, noting its slowness but acknowledging the extensive AI ecosystem as its primary advantage. They conducted a test comparing Free Pascal and BLAS for matrix multipli…
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New research tackles LLM factuality, architecture inference, and specialized evaluation
Researchers are developing new methods to improve the accuracy and reliability of large language models (LLMs). Google Research has introduced SLED (Self Logits Evolution Decoding), a technique that leverages all layers…