Tag: LLM agents

Planning and Tool Use for LLM Agents: From Objectives to Actions

Planning and Tool Use for LLM Agents: From Objectives to Actions

Explore how LLM agents evolve from text generators to action-takers using planning frameworks like ReAct and GRASE-DC. Learn about tool integration, real-world challenges, and implementation strategies for 2026.

Task Decomposition Strategies for Planning in Large Language Model Agents

Task Decomposition Strategies for Planning in Large Language Model Agents

Explore task decomposition strategies for LLM agents, including ACONIC, Chain-of-Code, and Task Navigator. Learn how breaking down complex tasks improves accuracy by up to 40% and reduces costs.

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Recent Posts

Debugging Large Language Models: Diagnosing Errors and Hallucinations Mar, 6 2026
Debugging Large Language Models: Diagnosing Errors and Hallucinations
Encoder-Decoder vs Decoder-Only Transformers: What You Need to Know About Large Language Models Mar, 10 2026
Encoder-Decoder vs Decoder-Only Transformers: What You Need to Know About Large Language Models
Vibe Coding for Product Managers: How to Cut Time-to-Feedback in Half Jun, 27 2026
Vibe Coding for Product Managers: How to Cut Time-to-Feedback in Half
Calibrating Confidence in Large Language Models: Techniques and Metrics for Trustworthy AI Jul, 6 2026
Calibrating Confidence in Large Language Models: Techniques and Metrics for Trustworthy AI
Building a Community of Practice for Vibe Coding: Peer Reviews and Office Hours Apr, 13 2026
Building a Community of Practice for Vibe Coding: Peer Reviews and Office Hours

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