Topic: selection

The ggml/llama.cpp project released version b10290, which includes an update adding `ggml_build_forward_order` to better manage tensor computation ordering. This update is significant as it addresses potential issues with using `ggml_build_forward_expand` as an ordering hint, ensuring that unselected branches are properly handled during forward pass computations.

The choice of large language model (LLM) backbone significantly impacts vision-language model (VLM) performance but lacks clear guidelines, as existing compute-based scaling laws do not reliably predict VLM success across different model families.

arxiv.org↗

A study proposes using entropy-based pruning to compress Chain-of-Thought reasoning in large language models without significant accuracy loss, highlighting its potential for making complex models more efficient.

arxiv.org↗

The ggml/llama.cpp project released version b10195, which includes updates to tests to prevent redundant builds of `get-model.cpp` and fixes quant type selection. These changes aim to improve the efficiency and reliability of model testing in the project.