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Technologies
LLM Tutorials
Keep up to date with the latest news, techniques, and resources for Large Language Models. Our tutorials are full of practical walk throughs & use cases you can use to upskill.
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OpenAI AgentKit Tutorial With Demo Project: Build an AI Agent
Learn how to use OpenAI AgentKit to automate GitHub issue reviews with AI agents that classify, detect duplicates, and summarize reports.
Aashi Dutt
8 oktober 2025
GPT-5 Function Calling Tutorial
A practical guide to GPT-5 function calling: from JSON-schema functions to free-form tools, Lark/CFG constraints, preambles, and tool allowlists.
Abid Ali Awan
6 oktober 2025
DeepSeek V3.2: A Guide With Demo Project
Learn about DeepSeek-V3.2-Exp, its new sparse attention mechanism, how it reduces API costs and improves long-context handling, and how to use it in your own projects.
Bex Tuychiev
2 oktober 2025
Docker Ollama: Run LLMs Locally for Privacy and Zero Cost
Set up Ollama in Docker to run local LLMs like Llama and Mistral. Keep your data private, eliminate API costs, and build AI apps that work offline.
Dario Radečić
30 september 2025
Imagine with Claude: A Guide With Practical Examples
Learn how Anthropic's Imagine with Claude introduces a new paradigm for AI-assisted software development, generating functionality on the fly.
François Aubry
30 september 2025
Claude Agent SDK Tutorial: Create Agents Using Claude Sonnet 4.5
Learn how the Claude Agent SDK works by building three projects, from one-shot to custom-tool agents.
Abid Ali Awan
29 september 2025
How to Run Qwen3-Next Locally
Learn how to run Qwen3-Next locally, serve it with transformers serve, and interact using cURL and the OpenAI SDK, making it ready for your app integrations.
Abid Ali Awan
25 september 2025
Self-Rag: A Guide With LangGraph Implementation
Learn how Self-RAG improves traditional RAG by incorporating iterative reasoning and self-evaluation, and how to implement it step-by-step using LangGraph.
Ryan Ong
25 september 2025
LangChain vs LangGraph vs LangSmith vs LangFlow: Key Differences Explained
Compare LangChain, LangGraph, LangSmith, and LangFlow. Learn their roles, strengths, and when to use each for building production-ready AI applications.
Vaibhav Mehra
23 september 2025
LiteLLM: A Guide With Practical Examples
Learn what LiteLLM is and how to use it for unified API calls to various LLM providers, covering basic API usage, error handling, fallbacks, streaming, structured outputs, and cost tracking.
Bex Tuychiev
23 september 2025
Qwen3-Next: A Guide With Demo Project
Learn how to build a Streamlit app for side-by-side comparison of Qwen3-Next-80B-A3B and other Qwen models, focusing on real-world performance metrics.
Aashi Dutt
22 september 2025
Roo Code: A Guide With Seven Practical Examples
Learn how to install and use Roo Code, an open-source AI coding assistant, and compare its features and functionalities with Cline.
Bex Tuychiev
17 september 2025