Model Context Protocol (MCP) https://modelcontextprotocol.io/ Below are notes from: https://learn.deeplearning.ai/courses/mcp-build-rich-context-ai-apps-with-anthropic What is MCP? MCP = Standar...

LangGraph Agent with Tool Calling Example This example demonstrates a LangGraph agent that can intelligently decide when to call external tools during its reasoning process. The agent uses Groq to ...

Example of a LangGraph agent with memory that allows iterative refinement of LLM responses based on user feedback. The agent uses Ollama LLM and LangGraph’s InMemorySaver for state persistence acro...

LangGraph Basic Agent Example LangGraph is a new orchestration framework from LangChain for building, managing, and deploying long-running, stateful agents. It is part of the LangChain stack which...

Ollama provides a way to run large language models (LLMs) locally or in the cloud. It supports various models including open-source ones. Langchain, a popular framework for building applications wi...

A customer service airline booking Agent using DSPy + Ollama cloud models The code below is based on https://dspy.ai/tutorials/customer_service_agent/ and modified to use Ollama cloud model so one ...

I ran my first ultra marathon in Austin Rattler on Nov 2nd 2024 at Burnet, TX. I had trained for it for couple months especially the months of September and October. The venue was Reveille Peak Ra...

The Must-Know Mathematics & Statistics Behind AI Probability probability and conditional probability probability of an event occuring = # outcomes / total # outcomes probability of even...

Colab provides TPUs and we can use the environment to run our code in Colab VM. Running ML code locally is slow. Mount google drive in Colab Notebook with following lines of code. from googl...

Numpy Numerical Python library Creating Arrays import numpy as np # Creating arrays mylist = [1, 2, 3, 4, 5] x = np.array(mylist) print(x) y = np.array([6, 7, 8, 9, 10]) print(y) print(y.shape...