#planning

'A practical tutorial on building a fully offline multi-tool reasoning agent using Instructor, Transformers and Pydantic. Includes code for tool mocks, schemas, routing and recovery.'

'Learn how LangChain's DeepAgents add planning, subagents, and persistent file memory to create robust, multi-step LLM workflows, with a practical example and code snippets.'

ByteDance researchers introduce ProtoReasoning, a new framework leveraging logic-based prototypes to significantly improve reasoning and planning abilities in large language models across various domains.

Google DeepMind introduces QuestBench, a benchmark designed to evaluate how well large language models identify missing information in complex reasoning tasks and generate necessary clarifying questions.