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LLM reasoning

8 posts about LLM reasoning by 5 contributors.

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Articles: 8
Contributors: 5

Articles about LLM reasoning

Article · Copilot
GitHub Copilot Cloud Agent: Measuring Reasoning Level vs Development Cost
Explore how GitHub Copilot Cloud Agent reasoning levels affect code quality, latency, token usage, and development costs with practical benchmarking strategies.
Aarav PatelAug 212,8971,000
Article · Prompt Engineering
High-Fidelity Multi-Step Reasoning Chains with Automated Feedback in LangGraph
LangGraph enables high-fidelity multi-step LLM reasoning with automated feedback for e-commerce logistics, ensuring reliable, auditable, and constraint-compliant decision-making.

Tuhin PaulJun 223201,000

Article · Context Engineering

What techniques help improve reasoning capabilities in LLMs?

Unlock LLM reasoning! Explore Chain-of-Thought, Few-Shot Learning, RLHF, & more to build AI that solves complex problems with accuracy and reliability.

Aarav PatelMar 113,3281,000

Article · Langchain

Agents 2.0 and Deep Agents: The Future of Autonomous AI Systems

Explore how Agents 2.0 and Deep Agents are transforming AI autonomy through reasoning, multi-agent collaboration, and real-world integration.

Rohit GuptaOct 20, 20254,3541,000

Article · Prompt Engineering

Chain of Thought, Tree of Thoughts, and GSCP: Choosing the Right Prompting Technique

Explore Chain of Thought (CoT), Tree of Thoughts (ToT), and Gödel's Scaffolded Cognitive Prompting (GSCP) for AI reasoning. Understand how each technique guides large language models, from linear steps to governed workflows. Discover the strengths, limitations, and best use cases for each, and why GSCP offers the most comprehensive and enterprise-ready approach for reliable AI.

John GodelSep 10, 20251,1251,000

Article · Prompt Engineering

What Is ReAct Prompting in AI? (Reasoning + Acting for Smarter AI)

ReAct prompting is a powerful technique that combines reasoning and acting to make AI systems smarter, more accurate, and interactive. Learn how ReAct works, see examples, and explore how to use it in AI agents and business workflows.

Mahesh ChandAug 16, 20252,3751,000

Article · Generative AI

Godel's Scaffolded Cognitive Prompting (GSCP): A Unified Framework for Reliable AI Reasoning

GSCP (Godel’s Scaffolded Cognitive Prompting) is an advanced prompting method combining reasoning, memory, branching logic, and real-time fact-checking to create accurate, explainable, and verifiable LLM outputs.

John GodelJul 14, 20255,9501,000

Article · Generative AI

Inner Monologue: Teaching Machines to Think Before They Speak

Discover how AI models are evolving with inner monologue-like reasoning, enabling them to think step-by-step before responding, making machines more accurate, reliable, and human-like.

John GodelJun 19, 20258,8941,000

LLM reasoning · by contributions

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John Godel3 posts · 16k readsMVP 2

Aarav Patel2 posts · 6.2k reads 3

Rohit Gupta1 post · 4.4k readsMVP 4

Mahesh Chand1 post · 2.4k readsMVP 5

Tuhin Paul1 post · 320 readsMVP

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