New NVIDIA paper says AI models do not always need huge amounts of past conversation history (context) to work well. They show that regularly shortening the history (compaction) keeps accuracy almost the same on hard, long tasks.
New NVIDIA paper says AI models do not always need huge amounts of past conversation history (context) to work well. They show that regularly shortening the history (compaction) keeps accuracy almost the same on hard, long tasks.
And invalidate cache in the process, so full context prefill kicks in