· SuperML.dev · agenticAI
How to Build a Real-Time Sentiment-Aware Stock Predictor with FinBERT + Astro + OpenAI
Learn to combine FinBERT, OpenAI, and Astro to build a real-time stock market sentiment analysis blog and pipeline.
agenticAI
· SuperML.dev · agenticAILangChain Output Parsers: Structuring LLM Responses
Learn how to use output parsers in LangChain to format, validate, and transform raw LLM output into structured data. Covers usage, purpose, and code examples.
· SuperML.dev · agenticAIHow to Build an Agentic Stock Analyst with LangChain and YFinance
Create an intelligent AI agent that performs stock analysis using real tools, technical indicators, economic data, and even triggers mock trades.
· SuperML.dev · agenticAILangChain Agents: Tool-Augmented Reasoning with LLMs
Learn what LangChain Agents are, how they work, and the problems they solve through dynamic tool invocation and decision making.
· SuperML.dev · agenticAILangChain Document Loaders & Vector Stores: Powering RAG Applications
Learn how to use document loaders, text splitters, and vector stores in LangChain to enable retrieval-augmented generation (RAG) and semantic search.
· SuperML.dev · agenticAIExplaining Frauds in Finance: A Real-World ML Example with Credit Card Authorization
A deep dive into real-time fraud detection with Credit Card Authorization using XGBoost, SHAP, and more