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ENTITY Bulgarian lev

Bulgarian lev

PulseAugur coverage of Bulgarian lev — every cluster mentioning Bulgarian lev across labs, papers, and developer communities, ranked by signal.

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SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_277767 ·

    New open-source System One models Laya, Lev, and CLM offer distinct architectures

    New open-source alternatives to the proprietary Jev model, named Laya, Lev, and CLM, have emerged, each offering a distinct architectural approach to System One models. These models, built upon foundational language mod…

  2. TOOL · CL_277476 ·

    Local LLM Setup Guide Updated with New Models and APIs

    Thomas Bley has updated his presentation on running large language models locally, incorporating new decision models like Clef-Flash, Laya, Lev, Kev, and OpenJev. These models are integrated using the llama.cpp framewor…

  3. TOOL · CL_276151 ·

    llama.cpp adds /v1/systemone API for new local LLM models

    The llama.cpp project has integrated a new API endpoint, /v1/systemone, enabling support for several new models. These models include Laya, julia-1, lev, openjev, and kev, with links provided to their GGUF versions on H…

  4. RESEARCH · CL_100565 ·

    Polish fund invests 42M PLN in ElevenLabs to create AI talent hub

    The Polish state-backed fund Vinci, part of BGK, is investing 42 million PLN into ElevenLabs. This partnership aims to establish AI Lab Poland, a new hub designed to retain top engineering talent within the country.

  5. TOOL · CL_87753 ·

    Peter Sarsgaard joins The Last of Us Season 3 as new character

    Peter Sarsgaard has been cast as Amon, a leader of the Seraphite cult, in the third season of HBO's The Last of Us. This character does not appear in the original game. The Seraphites are an apocalyptic faction at war w…

  6. RESEARCH · CL_44023 ·

    FAME framework uses LLMs for efficient log anomaly detection

    Researchers have developed FAME, a novel framework for message-level log anomaly detection that significantly reduces the need for manual labeling. This system utilizes a Mixture-of-Experts approach, employing large lan…