Memory and Context Windows: Best Practices for AI Tools
The article discusses best practices for using AI tools effectively, focusing on memory and context windows. It emphasizes the importance of starting new sessions for unrelated tasks to maintain efficiency and reduce memory costs. Additionally, it highlights that AI does not retain memory between sessions, making it crucial to summarize and document information for future reference.
- ▪AI tools are becoming more complex, leading to increased token usage in prompts and responses.
- ▪Starting new sessions for unrelated tasks helps keep sessions clean and improves response efficiency.
- ▪AI does not have a working memory; it retrieves relevant information for each new question, replacing previous memory.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 482378) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Liatmoss Posted on May 16 Memory and Context Windows: Best Practices for AI Tools #ai #programming #productivity #tutorial As new tools and features come out, AI tools get more complex giving us more capabilities and ways of working. What also comes along with these updates and changes, is a higher rate of tokens exchanged in both prompts and responses. From the beginning, we've been told that the more detailed a prompt the more accurate our response from the server is likely to be.
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