I ran memory accuracy tests on small models, here's what I found
This story is from 2026-08-30. It is preserved in the archive; the latest stories are on the live feed.
I've been building ChatSorter, a memory layer API for AI chatbots, and I wanted to put it through a real benchmark. So I ran 5 configurations against the LoCoMo long-term conversation memory dataset using three models: Gemma 2 9B, Gemma 3 4B, and Gemma 3 12B. Here's what I got: https://preview.redd…
Read the full story at r/artificial ↗
Timeline · 1 report
- 2026-08-30 13:40 · r/artificial
I ran memory accuracy tests on small models, here's what I found
More stories
- Anthropic says Claude 'leads' 26 percent of its AI R&D work — Engadget
- Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
- Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
- Optimizing agent system prompts with Amazon Bedrock AgentCore — AWS Machine Learning Blog
- Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
- Introducing Astra for Law — OpenAI News
- Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
- OpenAI reveals cases of ‘concerning’ AI behaviour as it announces new disclosure system — The Guardian AI
Get the daily brief of stories like this at 6:30 every morning →