<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s2bne8/context_shifting_sliding_window_rag/"> <img alt="Context Shifting + sliding window + RAG"
<!-- SC_OFF --><div class="md"><p>How do you guys deal with long context, for example while coding, when you’re going back and forth for adjustments or fixing some errors and
<!-- SC_OFF --><div class="md"><p>As the title says. I'm getting absolutely no thinking time reported on my prompts, and the answers are coming out completely instant. It feels
<!-- SC_OFF --><div class="md"><p>im using chatgpt for studying, so i ask alot and prefer to have long conversations while it is explaning to me and i usually mention something i
<!-- SC_OFF --><div class="md"><p>Compare to claude, i observed that codex's context easily get bloating to 30%+ for some reason. Is there any reason why or any hint to resolve
<!-- SC_OFF --><div class="md"><p>Been building AI agents for a while and kept hitting the same wall: agents that work great at the start of a session and quietly fall apart by
<!-- SC_OFF --><div class="md"><p>Mainly, i'd like to understand how ChatGPT handles context compaction in long and complex conversations. How efficient is the retrieval of key
<!-- SC_OFF --><div class="md"><p>Is this possible for Qwen3.8-27B in LM Studio? </p> <p>Something similar to what ChatGPT/Codex does. I use that as an example because it does it
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