4 Context Engineering Principles for building AI Agents
Context Engineer is taking over the AI Engineering space. Learn how to offload, implement one shot prompting, isolate and reduce context in this guide
Posts tagged with "llm"
Context Engineer is taking over the AI Engineering space. Learn how to offload, implement one shot prompting, isolate and reduce context in this guide
Learn how to wrap Ollama models with a CPU temperature check in Python. This tutorial shows you how to prevent overheating by pausing execution when system temperatures exceed safe limits.
Ollama is a great tool to run local llm models, but it's not the fastest and sometimes has some bugs. To run everything smoother you can use llama.cpp. This guide shows how to use existing ollama models for llama.cpp
Understand what each of these errors and learn how to fix it. This is a summary of all the error messages I get in langgrapgh and track how it's been solved to avoid doing the error again
What new things have been introduced in the v1 of langgraph and langchain? Read further to discover them and learn how to use it
Learn to build AI agents with the MCP protocol. This tutorial provides a complete Python example of setting up a tool server and using a local Ollama model to perform structured function calls. A practical introduction to MCP for real-world AI applications.
Analyzing the code from the public open deep research project from the langchain team to research information online using tools and llms.
A deep-dive tutorial on building a real-world AI agent with LangGraph. Learn key architectural patterns, state management techniques, and performance optimizations from the implementation of translateprompt.com
Stop making the same corrections. TranslatePrompt is the smart translator that learns from your instructions to build custom glossaries and rules, ensuring perfect translations every time.
A practical guide to building a chatbot with human review capabilities. Learn how to combine AI chat with human oversight using React, FastAPI, and Gemini LLM. Perfect for developers looking to create more reliable AI chat applications that benefit from human expertise
In this part we'll see how to make the chatbot to remember things in our langgraph chatbot, this will be useful so our chatbot can remember a conversation
This post explains how to use assistant ui to render a chatbot and handle the calls with the backend
How to use langgraph to create a chatbot that is wrapped around by a fastapi istance and displayed in the frontend with React. This second part explains how to use fastapi to create the endpoints that will be accessed from the frontend
How to use langgraph to create a chatbot that is wrapped around by a fastapi istance and displayed in the frontend with React. This first part explains how to set up the project
How to create your custom tools in a chatbot so you're able to realize specific functions like accessing a database, or calling an api.
How can we achieve that a chatbot has memory? Langgraph has the tools for it, in this quick guide we'll see how to add memory to a chatbot and how to persist this memory in a database.
Modal allows you to host your own small services on the cloud to run it's operations there. Great for open source llms, ocr... in general things that require heavy computation or where you want to have an small microservice that is easily deployable