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Technologies
AI Tutorials
Keep up to date with the latest techniques, tools, and research in artificial intelligence. Out AI tutorials will walk you though challenging machine learning models.
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Gemini 2.0 Flash: How to Process Large Documents Without RAG
Learn how to use Gemini 2.0 Flash's massive context window to build a SaaS sales insights tool that answers business queries without needing RAG.
Aashi Dutt
2025年2月19日
Deploying DeepSeek R1 on Databricks: A Step-by-Step Guide
Learn how to set up a Databricks account, register the DeepSeek R1 model, deploy it to an endpoint, and access it locally for seamless AI integration!
Abid Ali Awan
2025年2月17日
How to Use Sora AI: A Guide With 10 Practical Examples
Learn how to use Sora AI to create and edit videos, including using remix, loop, re-cut, style presets, and storyboards.
François Aubry
2026年1月21日
Building Multimodal AI Application with Gemini 2.0 Pro
Build a chat app that can understand text, images, audio, and documents, as well as execute Python code. Truly a multimodal application closer to AGI.
Abid Ali Awan
2025年2月15日
Policy Gradient Theorem Explained: A Hands-On Introduction
Learn about the policy gradient theorem in RL and how to derive it mathematically. Implement an algorithm based on policy gradients to solve a simple RL environment in Gymnasium.
Arun Nanda
2025年2月13日
DeepSeek R1 RAG Chatbot With Chroma, Ollama, and Gradio
Learn how to build a local RAG chatbot using DeepSeek-R1 with Ollama, LangChain, and Chroma.
Aashi Dutt
2025年2月11日
DeepSeek API: A Guide With Examples and Cost Calculations
Learn how to use the DeepSeek API, including model selection, parameter management, cost optimization, context caching, and chain-of-thought optimization.
Dr Ana Rojo-Echeburúa
2025年2月11日
Llama 3.2 Vision With RAG: A Guide Using Ollama and ColPali
Learn the step-by-step process of setting up a RAG application using Llama 3.2 Vision, Ollama, and ColPali.
Ryan Ong
2025年2月7日
How to Deploy Llama 3.3 70B on the Cloud: A Hands-On Guide
Deploy the AWQ version of Llama 3.3 70B using vLLM, BentoML, and BentoCloud to create a highly efficient, low-latency system with exceptional throughput.
Abid Ali Awan
2025年2月6日
Implementing the Hill Climbing Algorithm for AI in Python
Learn the hill climbing algorithm in Python. This guide covers types, limitations, and real-world AI applications with code examples.
Bex Tuychiev
2025年2月4日
Lovable AI: A Guide With Demo Project
Learn how to build and publish a mobile app using Lovable AI, integrating it with Supabase for backend services and GitHub for version control.
François Aubry
2025年2月3日
How to Use Qwen2.5-VL Locally
Learn about the new flagship vision-language model and run it on a laptop with 8GB VRAM.
Abid Ali Awan
2025年2月3日