Back to feed
Dev.to
Dev.to
6/16/2026
Overcoming LLM Limitations

Overcoming LLM Limitations

Short summary

Overcome LLM hallucinations and math errors by building a research agent with search and calculator tools. Complete Python tutorial using Oxlo.ai's API, with system prompts that enforce fact-checking via tool calls and LRU caching for performance optimization.

  • •Build LLM agents with tool calling for search and arithmetic verification
  • •System prompt forces fact-checking before answering with source citations
  • •Complete runnable Python code using Oxlo.ai's models with LRU caching

Generated with AI, which can make mistakes.

#ai-tools#ai-agents
Read full article at Dev.to

Is this a good recommendation for you?

Comments

Failed to load comments. Please try again.

Explore more

Building Multi-Step Research Agents with Oxlo.ai and Llama 3.3
Dev.to
The original title is "Building Your First AI Agent in 2026: A Complete Hands-On Guide"
Dev.to
Build a Conversational Language Tutor with Oxlo.ai and Llama 3.3
Dev.to
The original title is about building a RAG system with tool use for autonomous LLM searching. Let me rewrite this for a mobile feed.
Dev.to