Raymond-dev-546730 commited on
Commit
e416ad6
·
verified ·
1 Parent(s): 57ac9f0

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +21 -15
README.md CHANGED
@@ -1,21 +1,27 @@
1
  ---
2
  license: cc-by-4.0
3
  ---
4
- Research-Reasoner: AI-Powered Research Planning Assistant
5
- Research-Reasoner is a specialized AI model designed to help researchers systematically plan and structure research projects. Built on top of Mistral 7B Instruct v0.3, this model has been fine-tuned with LoRA (Low-Rank Adaptation) to excel specifically at breaking down research topics into comprehensive, actionable research plans.
6
- How It Works
7
 
8
- A user inputs a research title, question, or project idea
9
- The model processes this input using chain-of-thought reasoning
10
- The model then outputs a structured, actionable research plan
11
 
12
- Who Can Benefit
13
 
14
- Early career researchers and graduate students who need guidance in structuring comprehensive research plans
15
- Established researchers exploring new domains outside their primary expertise
16
- Research proposal writers preparing grant applications
17
- Interdisciplinary teams who need to develop shared understanding across different fields
18
- Academic advisors and mentors who could use this as a teaching tool
19
- Research administrators evaluating proposed research plans
20
- Citizen scientists and independent researchers without formal training in methodology
21
- Corporate R&D teams exploring new research directions
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: cc-by-4.0
3
  ---
4
+ # Research-Reasoner-7B: AI-Powered Research Planning Assistant
 
 
5
 
6
+ Research-Reasoner-7B is a specialized AI model designed to help researchers systematically plan and structure research projects. Built on top of Mistral 7B Instruct v0.3, this model has been fine-tuned with LoRA (Low-Rank Adaptation) to excel specifically at breaking down research topics into comprehensive, actionable research plans.
 
 
7
 
8
+ ## How It Works
9
 
10
+ 1. A user inputs a research title, question, or project idea
11
+ 2. The model processes this input using **chain-of-thought reasoning**
12
+ 3. The model then outputs a **structured, actionable research plan**
13
+
14
+ ## This Kind of Tool Would Be Incredibly Useful For:
15
+
16
+ * **Early career researchers and graduate students** who need guidance in structuring comprehensive research plans but may lack experience in breaking down complex projects
17
+ * **Established researchers exploring new domains** outside their primary expertise who need help identifying methodological approaches in unfamiliar fields
18
+ * **Research proposal writers** preparing grant applications who want to ensure they've considered all critical aspects of their research design
19
+ * **Interdisciplinary teams** who need to quickly develop shared understanding of research approaches across different fields
20
+ * **Academic advisors and mentors** who could use this as a teaching tool to help students learn systematic research planning
21
+ * **Research administrators** who need to evaluate the comprehensiveness of proposed research plans
22
+ * **Citizen scientists and independent researchers** who might not have formal training in research methodology
23
+ * **Corporate R&D teams** exploring new research directions who need structured approaches to novel problems
24
+
25
+ ## Example Input/Output
26
+
27
+ ### Input Example