Awesome-LLM-Reasoning is a GitHub project that explores chain-of-thought prompting and the latest large language models.
The Awesome-LLM-Reasoning project focuses on the application of chain-of-thought prompting to the use of state-of-the-art language models such as OpenAI o1 and DeepSeek-R1. This project not only provides theoretical knowledge but also includes practical code and case studies, helping researchers and developers better understand and utilize these models for solving complex problems.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
[
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"@id": "https://agentsignals.ai/agents/awesome-llm-reasoning",
"name": "Awesome-LLM-Reasoning",
"description": "The Awesome-LLM-Reasoning project focuses on the application of chain-of-thought prompting to the use of state-of-the-art language models such as OpenAI o1 and DeepSeek-R1. This project not only provides theoretical knowledge but also includes practical code and case studies, helping researchers and developers better understand and utilize these models for solving complex problems.",
"url": "https://agentsignals.ai/agents/awesome-llm-reasoning",
"applicationCategory": "研究",
"operatingSystem": "GitHub",
"sameAs": "https://github.com/atfortes/Awesome-LLM-Reasoning",
"installUrl": "https://github.com/atfortes/Awesome-LLM-Reasoning",
"offers": {
"@type": "Offer",
"price": "0",
"priceCurrency": "USD",
"description": "免费",
"availability": "https://schema.org/InStock"
},
"featureList": [
"Supports multiple language models",
"Includes practical code and case studies",
"Combines theory with practice"
],
"datePublished": "2025-12-05T17:02:21.047653+00:00",
"dateModified": "2025-12-19T05:10:02.65228+00:00",
"publisher": {
"@type": "Organization",
"name": "Agent Signals",
"url": "https://agentsignals.ai"
}
},
{
"@context": "https://schema.org",
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://agentsignals.ai"
},
{
"@type": "ListItem",
"position": 2,
"name": "Agents",
"item": "https://agentsignals.ai/agents"
},
{
"@type": "ListItem",
"position": 3,
"name": "Awesome-LLM-Reasoning",
"item": "https://agentsignals.ai/agents/awesome-llm-reasoning"
}
]
},
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is Awesome-LLM-Reasoning?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Awesome-LLM-Reasoning is a GitHub project that explores chain-of-thought prompting and the latest large language models."
}
},
{
"@type": "Question",
"name": "What features does Awesome-LLM-Reasoning offer?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Supports multiple language models, Includes practical code and case studies, Combines theory with practice"
}
},
{
"@type": "Question",
"name": "What are the use cases for Awesome-LLM-Reasoning?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Natural Language Processing Research, AI Application Development, Complex Problem Solving"
}
},
{
"@type": "Question",
"name": "What are the advantages of Awesome-LLM-Reasoning?",
"acceptedAnswer": {
"@type": "Answer",
"text": "资源丰富, 实践性强, 更新及时"
}
},
{
"@type": "Question",
"name": "What are the limitations of Awesome-LLM-Reasoning?",
"acceptedAnswer": {
"@type": "Answer",
"text": "需要一定的AI基础, 代码可能需要自定义调整"
}
}
]
}
]