With Panel chat interface — By Andrew Huang and Sophia Yang In the ever-growing world of AI, local models have become a focal point, particularly for their advantages in privacy and safety. The capability to deploy and develop chatbots using local models is notably valuable for data security, privacy, and cost management. Mistral and Llama2…

With LangChain and Panel — By: Andrew Huang and Sophia Yang Retrieval-augmented generation (RAG) has been empowering Conversational AI by allowing it to access and leverage external knowledge bases. In this post, we delve into how to build a RAG chatbot with LangChain and Panel. You will learn: What is Retrieval-Augmented Generation (RAG)? How to…

Powered by OpenAI and LangChain — By: Andrew Huang and Sophia Yang The open-source project Panel, with its latest version 1.3, has just introduced an exciting and highly anticipated new feature: the Chat Interface widget. …

Child-Parent RecursiveRetriever and Sentence Window Retrieval with LlamaIndex — RAG (Retrieval-Augmented Generation) systems retrieve relevant information from a given knowledge base, thereby allowing it to generate factual, contextually relevant, and domain-specific information. However, RAG faces a lot of challenges when it comes to effectively retrieving relevant information and generating high-quality responses. In this series of blog posts/videos, I…

📚 Some people may know that I host a DS/ML book club where we read one book per month. This month, we read ‘Scaling Machine Learning with Spark’ by Adi Polak. This book covers distributed ML systems, Spark/PySpark basics, MLflow, Spark MLlib, and deep learning frameworks PyTorch and TensorFlow. In…

📚 Some people may know that I host a DS/ML book club where we read one book per month. This month, we read ‘Modeling Mindsets’ by Christoph Molnar. Christoph is a statistician and machine learning expert. I have read his first book Interpretable Machine Learning and absolutely loved it. This…

📚 Some people may know that I host a DS/ML book club where we read one book per month. This month, we read ‘Causal Inference in Python’ by Matheus Facure. …

By Andrew Huang, Sophia Yang No library can cover all the specialized widgets a user may want… but a good one makes it easy for the user to create their own specialized widget that can be used alongside the library! Panel is one of those cool libraries–you can create interactive…

📚 Some people may know that I host a DS/ML book club where we read one book per month. This month, we read ‘Machine Learning Q and AI’ by the esteemed Sebastian Raschka. …