📂 LLM & Models
Comparisons, benchmarks and practical guides on large language models: GPT, Claude, Gemini, Llama and free alternatives.
Tokens, Context, Costs: Understanding LLM Pricing
You're using ChatGPT, Claude, or another AI model and seeing terms like "tokens," "200K context," or "$3/million tokens" without really understanding what they
Claude, GPT, Gemini, Llama: Which Model to Choose in 2026?
Choosing a language model (LLM) in 2026 is a bit like choosing a car: there’s no universal "best"—only the best for you. Between Anthropic’s Claude, OpenAI’s...
SigLoMa: a quadruped robot that learns manipulation in the real world using vision alone
Meet SigLoMa, a revolutionary quadruped robot that learns real-world manipulation tasks using vision alone. Explore the future of robotics.
Using Free Models Without Sacrificing Quality
Generative AI is expensive? Not in 2026. Between OpenRouter's free tiers, Groq's lightning speed, Google AI Studio's generosity, and newcomers like Cerebras...
Advanced Prompting That Really Makes a Difference
You've been using ChatGPT, Claude, or Gemini for months, but you feel like you're not getting the most out of it? You're right. The difference between an...
AI Vision: Analyzing Images with LLMs
LLMs are no longer limited to reading text. Multimodal models like Claude 3.5, GPT-4V, and Gemini Pro Vision can see and understand images. OCR, photo...
Fine-tuning vs RAG vs Prompting: Which Approach Should You Choose?
When facing an AI project, the same question always arises: should you fine-tune a model, implement RAG, or simply improve your prompting? The answer isn't "it