{"version":"1.0","type":"card","id":"e8e10b9d-7466-4a9f-b3ab-7eebab5cc04f","url":"https://stacklist.com/card/e8e10b9d-7466-4a9f-b3ab-7eebab5cc04f","title":"What Is a Context Window? — IBM Think","source_url":"https://www.ibm.com/think/topics/context-window","note":"The best zero-jargon starting point. IBM explains context windows clearly without vendor bias — what they are, why they matter, and how they limit what an LLM can \"remember\" in a conversation. Read this first if you're new to the topic.","image":{"url":"https://ucarecdn.com/4f84cd65-3b97-4bdf-bdce-6ce7f4551f66/","alt":"What Is a Context Window? — IBM Think","width":3051,"height":2334},"stack":{"id":"e16dcdcb-06b9-481c-aef9-40b6d73a5c8e","title":"Master AI & LLM Context: From Basics to Production","url":"https://stacklist.com/c/technology/stack/e16dcdcb-06b9-481c-aef9-40b6d73a5c8e"},"created_at":"2026-07-02T10:08:36.380Z","updated_at":null,"aco":{"summary":"Context windows define the amount of text, measured in tokens, that a large language model can process or \"remember\" at any one time, functioning as the model's working memory. The article explains how tokenization works, the tradeoffs of increasing context length—such as improved accuracy versus higher computational costs—and how different languages and tokenizers affect token efficiency.","tags":["context-window","large-language-models","tokenization","artificial-intelligence","natural-language-processing","tokens","llm-architecture"],"key_entities":[{"name":"Context Window","type":"concept","confidence":1},{"name":"Tokenization","type":"concept","confidence":0.95},{"name":"Large Language Model","type":"concept","confidence":0.95},{"name":"Dave Bergmann","type":"person","confidence":0.9},{"name":"IBM","type":"organization","confidence":0.85},{"name":"Hugging Face","type":"organization","confidence":0.8},{"name":"Hallucinations","type":"concept","confidence":0.6},{"name":"Adversarial Attacks","type":"concept","confidence":0.55}],"classification":"reference","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-07-02T10:08:44.210Z"},"token_counts":{"approximate":3717,"cl100k":2936},"content_hash":"sha256:1447c15fc55eabcecb0cf9197114b2ec2338d2db68a7cf14abf26e3dd90c4438","acp_version":"0.2","body_available":true,"body_tokens":3717,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/e8e10b9d-7466-4a9f-b3ab-7eebab5cc04f.json","html":"https://stacklist.com/card/e8e10b9d-7466-4a9f-b3ab-7eebab5cc04f","md":"/api/public/card/e8e10b9d-7466-4a9f-b3ab-7eebab5cc04f.md","stack_json":"/api/public/stack/e16dcdcb-06b9-481c-aef9-40b6d73a5c8e.json"}}