N-Gram House

Tag: planning frameworks

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.

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  • Machine Learning (87)
  • History (50)
  • Business AI Strategy (21)
  • Software Development (19)
  • AI Security (11)

Recent Posts

Employment Law and Generative AI: Monitoring, Productivity Tools, and Worker Rights in 2026 Mar, 5 2026
Employment Law and Generative AI: Monitoring, Productivity Tools, and Worker Rights in 2026
Chinchilla's Compute-Optimal Ratio and Its Limits for LLM Training Mar, 3 2026
Chinchilla's Compute-Optimal Ratio and Its Limits for LLM Training
Instruction Tuning for Large Language Models: Building Better Followers Jun, 25 2026
Instruction Tuning for Large Language Models: Building Better Followers
Prompt Injection Risks in Large Language Models: Attacks and Defenses Jun, 26 2026
Prompt Injection Risks in Large Language Models: Attacks and Defenses
Adapter Layers and LoRA for Efficient Large Language Model Customization Jan, 16 2026
Adapter Layers and LoRA for Efficient Large Language Model Customization

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