| from langchain_core.prompts import PromptTemplate | |
| from langchain_core.output_parsers import StrOutputParser | |
| synopsis_prompt_template = """ | |
| Research Paper: {paper} | |
| Could you provide a concise summary of this paper, highlighting the following key points: | |
| Objective: Begin by briefly describing the primary goal of the research. What problem is the paper trying to solve, or what hypothesis is it testing? Mention the specific domain of machine learning it pertains to (e.g., supervised learning, unsupervised learning, reinforcement learning, deep learning, etc.). | |
| Background: Provide a concise overview of the context and motivation behind the research. Why is this problem important? What are the key challenges that previous studies have not addressed, which this paper seeks to overcome? | |
| Methods: Summarize the methodology used in the study. What are the key techniques, algorithms, or models proposed or evaluated? Mention any novel approach or significant modification to existing methods. Include information on the dataset(s) used, if applicable. | |
| Results: Highlight the main findings of the paper. What were the outcomes of applying the proposed methods? Include key metrics or statistics that demonstrate the effectiveness, efficiency, or advancements over previous approaches. | |
| Discussion and Implications: Discuss the significance of the results. What do these findings imply for the field of machine learning? How can they be applied in practice, or what future research directions do they suggest? | |
| Limitations: Briefly note any limitations or caveats of the study. Are there any specific conditions under which the findings may not hold? What aspects of the research could be improved upon? | |
| Conclusion: Conclude with a summary of the research paper's contributions to the field of machine learning. Reiterate the importance of the problem addressed and the impact of the findings. | |
| """ | |
| synopsis_output_parser = StrOutputParser() | |
| synopsis_prompt = PromptTemplate( | |
| template=synopsis_prompt_template, | |
| input_variables=["paper"], | |
| ) | |
| synopsis_chain = lambda model: synopsis_prompt | model | synopsis_output_parser | |