Update README.md (#1)

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Co-authored-by: Vaibhav Srivastav <reach-vb@users.noreply.huggingface.co>

README.md

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+# GGML - AI at the edge
+
+ggml is a tensor library for machine learning to enable large models and high performance on commodity hardware. It is used by [llama.cpp](https://github.com/ggerganov/llama.cpp) and [whisper.cpp](https://github.com/ggerganov/whisper.cpp)
+
+Written in C
+- 16-bit float support
+- Integer quantization support (e.g. 4-bit, 5-bit, 8-bit)
+- Automatic differentiation
+- Built-in optimization algorithms (e.g. ADAM, L-BFGS)
+- Optimized for Apple Silicon
+- On x86 architectures utilizes AVX / AVX2 intrinsics
+- Web support via WebAssembly and WASM SIMD
+- No third-party dependencies
+- Zero memory allocations during runtime
+- Guided language output support