🤔️ Need to execute tasks in bulk?
👍️️️️️️ Try GPT for Sheets!
- 📄 Create product descriptions at once
- 💼 Generate leads and enrich data
- 🔗️️️️️️ Scrapping sites
- 🌎 Google Search
- 🔍 Programmatic SEO & bulk page generation
- 📣 AI-powered social media post generator
- 📈 Extract top-ranked competitor keywords
- 🤖 Support Perplexity, Claude, Mistral, Gemini, OpenRoute
Thesis and Academic Articles Literature Review 2024
Case of usage:
Write Literature Reviews Best 100% Quality
Prerequisites
Before starting the tutorial, make sure you have the following ready to use these prompts in Google Sheets for batch results:
- GPT for Sheets, Docs, Slides, Forms Add-on: Installed from the GPT for Google Sheets.
Enabling GPT Functions
If you cannot see the GPT functions in your spreadsheet, follow these steps to enable them:
- Go to Extensions in the menu.
- Navigate to GPT for Sheets, Docs, Slides, Forms.
- Select Launch.
Prompt for GPT in Google Sheets:
write literature review 5 paragraphs with updated not over 10 years and cited with in-text APA citations and references for this topic:
Use following formula inside GPT for Sheets
=GPT(prompt)
Also you can try with others AI models Claude, Mistral, Perplexity, Gemini
Here some examples for calling this models in Google Sheets:
=CLAUDE(prompt) =MISTRAL(prompt) =GEMINI(prompt) =PERPLEXITY(prompt)
Try also SERP() function for getting top keywords, titles for a Google Search query in Google Sheets
Get top ranked pages for docgpt.ai:
=SERP(“docgpt.ai”)
Benefits of an AI-Driven Thesis and Academic Articles Literature Review 2024
In the rapidly evolving academic landscape of 2024, utilizing AI for literature review in thesis and academic articles presents a multitude of benefits that streamline research processes and enhance the quality of scholarly work. Firstly, AI tools are impeccably adept at handling vast amounts of data, which allows for a comprehensive curation of existing literature across various disciplines. This ensures that researchers can efficiently access and incorporate relevant studies, thereby significantly reducing the time traditionally required for manual literature review. Secondly, AI technologies possess advanced algorithms capable of identifying patterns and trends within the literature, which provides researchers with insightful analytics and emerging thematic areas that might be overlooked otherwise. This facilitates a more robust understanding of the subject matter and fosters innovative research directions. Additionally, AI-driven literature reviews can enhance the accuracy and objectivity of the research by mitigating human biases and errors, leading to the production of more reliable and credible academic articles. Moreover, AI systems are continually updated, ensuring researchers remain abreast of the latest advancements and publications in their field. This dynamic and proactive approach not only supports the development of high-quality theses and academic articles but also contributes to the advancement of knowledge and fosters academic excellence.