Models & Labs
New Conditional Generator for Data Synthesis
Google Research Blogmedium confidence
Why it matters
- →This advancement could lead to more efficient AI models that require less computational power while maintaining performance.
Google Research has introduced a conditional generator aimed at improving data synthesis in generative AI, potentially reducing the reliance on billion-parameter models.
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llama.cpp Releases
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llama.cpp update enhances compatibility and performance
The latest update to llama-mmap improves compatibility with various platforms and model sizes. Key enhancements include support for 32-bit wasm and updates to gguf.cpp style.
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