This primer and demo dives into embeddings similarity search and its significance in both development and production workflows. Leveraging the Arize platform, see how similarity search can aid in troubleshooting and pattern recognition, offering valuable insights for improvement. Notebooks: 💬 LLM Summarization: https://colab.research.google.com/github/Arize-ai/tutorials_python/blob/main/Arize_Tutorials/Embeddings/GENERATIVE/Arize_Tutorial_LLM_Text_Summarization.ipynb 🖼️ CV Classification: https://colab.research.google.com/github/Arize-ai/tutorials_python/blob/main/Arize_Tutorials/Embeddings/CV/Arize_Short_Tutorial_CV_Image_Classification.ipynb 🔗 Other Links Follow Dat Ngo on LinkedIn: https://www.linkedin.com/in/datdarylngo/ More about embeddings: https://arize.com/blog-course/embeddings-meaning-examples-and-how-to-compute/ More about LLM observability: https://arize.com/blog-course/large-language-model-monitoring-observability/ Join the Arize community: https://join.slack.com/t/arize-ai/shared_invite/zt-26zg4u3lw-OjUNoLvKQ2Yv53EfvxW6Kg Timestamps 0:00 Introduction to Embeddings 3:20 Practical Applications in Different Domains 3:52 Demo: LLM Summarization 8:13 Image classification #embedding #similaritysearch #llm #gpt4 #autogpt #ai #artificialintelligence #generative #computervision #imageclassification #artificialintelligence #llmobservability
