v3.3.0 fixes SQLite performance issue
Version 3.3.0 includes a fix for an SQLite performance issue.
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Open the 30-day AI Change IndexVersion 3.3.0 includes a fix for an SQLite performance issue.
The update includes a bump to ggml v0.26.0 and fixes for CUDA and Vulkan.
The patch release v1.14.2 corrects generation path issues in GRPO, RLOO and Distillation. It also fixes metrics errors with vLLM.
The PEFT release v0.21.2 resolves a bug affecting encoder-decoder models with Transformers 5.18.0.
The v1.14.1 release fixes a server-mode crash during initial weight sync on vLLM 0.20 to 0.25.
The v0.21.1 release supports Tensor Parallel with PEFT. It requires Transformers version 5.17.0 or higher.
The v1.14.0 release of TRL removes six experimental trainers, including GRPOWithReplayBufferTrainer and BCOTrainer.
Flax 0.12.10 now uses attribute lookup for HiPrim fallback.
v3.2.0 includes a new cache implementation by gaudyb.
The release includes a new agnostic validation mode and updated documentation tooling to version 0.12.6.
v1.40.1 includes two new speech separation models for 8 kHz audio. It also adds SDK and CLI compatibility for agent identity management.
PaddlePaddle 3.4.0 lists a Muon optimizer for distributed training and a uniform-generation alignment fix for large tensors.
This commit removes the obsolete ggml-metal.metal file, clearing a path for the whisper.cpp release.
The Windows arm64 (CUDA) build of whisper-bin-win-cuda is experimental, using a preview edition of the CUDA Toolkit.
Lightning 2.6.6 restricts _instantiator hyperparameter to prevent code execution.
OpenCV 5.0.0 now supports Windows-on-Arm binaries validated on Qualcomm Snapdragon devices.
Renku 2.20.1 resolves a backend issue affecting session log collection during anonymous sessions.
The update includes new parsing for Icelandic verb structures and quoted questions.
Renku 2.20.0 adds project storage shared among users, with administrators setting size limits.
OpenCompass v0.5.4 adds LiteLLM as an AI gateway backend and includes new benchmarks for finance and code reasoning.
The release also speeds tokenization and USB copy-in, and removes Tensor.training and Tensor.train().
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