Shanto Mathew

Results 23 comments of Shanto Mathew

This segmentation fault appears to be a nil pointer dereference in the balance plan generation code when using MultipleTargetBalancer. Based on the stack trace: - The crash occurs in `(*SegmentAssignPlan).String`...

Critical bug! The namespace isolation issue is a serious production blocker. Based on reproduction steps, the memory storage layer isn't properly scoping queries by namespace. **Root cause**: Database queries lack...

This "CUDA error: an illegal memory access was encountered" typically indicates GPU memory corruption or invalid pointer access. Based on your environment (V100M32, CUDA 12.8, PyTorch 2.5), here are diagnostic...

This backup restoration issue could be caused by a few different factors. Here are some things to investigate: 1. **Android package manager state**: The backup might be restoring the APK...

This OOM error with 7B model on 4x A100 80GB is likely related to memory fragmentation and activation checkpointing configuration. **Quick diagnosis:** 1. **Reduce batch size**: Try `data.train_batch_size=128` or 64...

Excellent suggestion! Adding programming language metadata would significantly improve the resource's utility for developers. Implementation ideas: 1. **Format**: Your proposed format `[Game Name] (link) (Description) - [Language] - [Engine]` is...

This appears to be a classic conversation state management issue. Based on the logs, the LLM is executing the same tool action repeatedly without recognizing that it has already performed...

Great suggestion! The proposed script modification addresses a real pain point for users with limited disk space. The shallow fetch approach is much more efficient. A few additional thoughts: -...

This is an important interface design consideration. Making `tool.Tool` interface more flexible would definitely help with custom tool implementations. A few thoughts: - Exposing the interface could allow for better...

Excellent analysis and proposal! This optimization is exactly what's needed for production deployments. The 50% cost reduction through prompt caching is significant, especially for large-scale indexing operations. **Technical observations:** 1....