@@ -83,7 +83,7 @@ \section{Overview}
8383\begin {frame }{OpenVINO at a Glance}
8484 \begin {itemize }
8585 \item \textbf {Purpose: } Optimize and deploy AI inference across CPUs (x86, ARM, RISC-V), GPUs, NPUs, and other accelerators
86- \item \textbf {Core components: } Runtime (Inference Engine), Post-Training Optimization Tool, Benchmark tools, Notebooks
86+ \item \textbf {Core components: } Runtime (Inference Engine), Plugins (Targets), Frontends
8787 \item \textbf {Model formats (Frontends): } IR (\texttt {.xml/.bin }), ONNX (\texttt {.onnx }), TensorFlow (SavedModel/MetaGraph/frozen \texttt {.pb/.pbtxt }), TensorFlow Lite (\texttt {.tflite }), PaddlePaddle (\texttt {.pdmodel }), PyTorch (TorchScript/FX \texttt {.pt/.pth })
8888 \item \textbf {Targets: } CPU, GPU (e.g., Intel Arc), NPU, and more via plugins
8989 \item \textbf {Key benefits: } Performance, portability, unified API, quantization (INT8), easy deployment
@@ -212,7 +212,7 @@ \section{API Examples}
212212\end {frame }
213213
214214\section {Tools and Benchmarks }
215- \begin {frame }{Command-line Tools Overview}
215+ \begin {frame }{Brief Tools Overview}
216216 \begin {itemize }
217217 \item \textbf {benchmark\_ app }: measures latency / throughput on target devices
218218 \item \textbf {OpenVINO Notebooks }: interactive tutorials for many models (YOLO, SSD, Segmentation, LLMs) \\
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