Topic: Models
-
Reasoning Models Explained: Chain-of-Thought and Test-Time Compute
Reasoning models spend extra computation thinking before answering. The gains on hard problems are real, the costs are substantial, and the tradeoffs…
-
Context Windows Explained: Why AI Forgets, and What Changed
A context window is the model’s entire working memory. Understanding its limits explains most practical AI failures — and why a bigger…
-
What Is a Large Language Model? How LLMs Actually Work
A large language model learns to predict the next piece of text. That single mechanism explains both what these systems can do…
-
Mistral Large 3
European open-weight option with competitive pricing and a permissive licence.
-
Claude Sonnet 5
Balanced capability and cost; the default choice for most production workloads.
-
Claude Haiku 4.5
Fast and inexpensive, suited to high-volume classification and extraction.
-
Llama 4 70B
Open-weight model suitable for self-hosting where data cannot leave your infrastructure.
-
Claude Opus 5
Anthropic’s most capable model, aimed at complex reasoning and long-context work.
-
AlexNet wins ImageNet
GPU training turns a dormant idea into an industry, cutting error rates dramatically overnight.
-
ResNet solves depth
Residual connections let networks go far deeper without degrading.