One API. Thousands of AI possibilities.
Get $4,000 in free credits to access top AI models with Claude Code, OpenClaw, n8n or any AI agent
Includes Kimi 2.6, GLM 5.2 MiniMax 2.7 & DeepSeek
https://t.co/Rg6wWAwNey
#AI#LLM#ClaudeCode#AIAgents#DeepSeek#Kimi
OSINT: Tracking the Suspect’s Precise Location Using https://t.co/XTpj9xf3Fk
Search by network name or MAC address, zoom to satellite view, and pinpoint exact buildings:
https://t.co/5HJQbLRAi4
You get:
🔍 Keyword research
📈 Rank tracking
🔗 Backlink analysis
🩺 Site audits
👀 Competitor analysis
🤖 AI visibility tracking
🔌 MCP support for AI agents
And the interesting part?
It's not trying to completely replace the massive databases of Semrush or Ahrefs. Instead, it focuses on the core workflows while keeping the cost and complexity much lower.
I wrote a detailed breakdown of OpenSEO, including pricing, features, MCP integration, and self-hosting.
🚨 Semrush costs $139.95/month. What if you only need the core SEO features?
I found OpenSEO an open-source alternative that covers the SEO workflows most developers, freelancers, and small agencies actually use.
🧵 How to Run Kimi K3 GGUF Locally (Step-by-Step)
1/ Kimi K3 is one of the largest open-weight AI models available. If you want to run it on your own machine using Ollama, LM Studio, or llama.cpp, this thread is for you.
4/ Whether you're an AI enthusiast, developer, or researcher, this guide helps you get started quickly without digging through multiple sources.
5/ Read the full guide here:
👉 https://t.co/SGQhrfXbnX
Examples:
🚗 Self-Driving Cars
🎮 Game-Playing AI (AlphaGo)
🤖 Robotics
Goal: Learn the best decision through experience.
Understanding these three types is the foundation of Machine Learning. Every ML project starts by choosing the right learning approach.
#AI#AIEngineer
🤖 Day 13 - #AIEngineerSeries
Types of Machine Learning
Machine Learning is divided into three main types. Each type learns in a different way and is used for different problems.
Supervised Learning
The model learns from labeled data where the correct answer is already known.
Eg
🛍️ Customer Segmentation
💳 Fraud & Anomaly Detection
📝 Topic Grouping in Documents
Goal: Find hidden patterns in data.
Reinforcement Learning
The model learns by trial and error. It receives rewards for good actions and penalties for bad ones, helping it improve over time