Perplexity Launches Deep Research: Competing with Gemini and ChatGPT

Here’s another AI company, Perplexity, to launch a comprehensive research tool – Deep Research. In our previous blog, we discussed the same launch that Open AI’s ChatGPT did. Not only Open AI but also Gemini has released the same feature. It is really amazing that companies keep launching new innovations and updates every month. The online world is full of resources and tools, but adding a feature such as Deep Research to AI models is an impressive innovation that makes research tasks easier. The main objective is to provide more to-the-point and exact answers and enhance conversations. This adds value to the projects of researchers, developers, and business operations.

Furthermore, the company says that the research agent can perform various tasks with expertise. Besides, Perplexity – Deep Research saves you hours of time and makes your research work worth it. It acquires great benchmark capabilities and excels in benchmark tests on human-like thinking and human understanding. The most satisfactory advantage of Perplexity’s Deep Research is its free-of-cost availability for users. The Deep Research feature by Perplexity is no less than Open AI and Gemini. Let’s explore further to learn more about its features and functionalities!

Perplexity and Deep Research

It is a decent conversational chatbot and answer engine that provides you with moral and customer-oriented results. The platform amazingly connects with the usual users and provides perfect human-friendly results. You can upload files and documents, and the platform offers thorough insights. It gathers information from the web and provides results on a research basis.

Perplexity’s Deep Research is an AI agent that facilitates research tasks aligning with all contexts and industries. Besides, the tool is a great choice for both everyday users and professionals in specific fields like finance and healthcare. It comprehensively researches, infers, and combines data from numerous different resources across the web. You just need to visit the platform to access the feature. This facilitates multi-step research on the internet for complex tasks. Hence, it is a great helper tool for researchers and creative writers.

Peeping into the Features of Deep Research

1. Instantaneous Search, Collaboration & Citations

Shared Workspaces: Foremost, teams can work in a collaborative environment that is cloud-based.
Live Editing & Suggestions: Secondly, users can make edits, add comments, and receive AI suggestions that improve clarity and lucidity.
Version Control: It records all changes so researchers can revert to previous versions if necessary to prevent accidental data loss.
Cross-Disciplinary Incorporation: Lastly, researchers from different arenas can access applicable interdisciplinary observations without swapping between manifold platforms.

2. Advanced Summarization

As you know, research is work involving days of hard work where you need to look over numerous articles, research papers, and more. But no worries, as the automated research with Deep Research makes it all easy for you. You don’t need to struggle to gather data and information; the tool helps you with data search and analyzing processes. It can summarize numerous contextual and comprehensible pages for you.

3. Multimodal Capabilities

It supports text, images, and even complex data interpretations, making it more versatile than Gemini and ChatGPT in research-focused scenarios. This means users can analyze graphs, interpret equations, and even work with scientific datasets within the same AI interface.

4. Customizable Research Paths

Unlike ChatGPT and Gemini, which often provide static responses, Perplexity Deep Research allows users to refine their searches dynamically. Users can ask follow-up questions, adjust parameters, and receive more precise answers tailored to their research needs.

Set research objectives: You can define whether you need a literature review, hypothesis testing, industry analysis, or policy research.
Choose preferred data sources: Secondly, you can choose between academic journals, market reports, government databases, patents, or news sources.
Apply discipline-specific methodologies: Subsequently, whether it’s quantitative research, qualitative analysis, or mixed methods, the AI adapts accordingly.
Refine search parameters: Lastly, users can narrow results based on publication date, geography, author credibility, and citation count.

Comparison with Gemini and ChatGPT

1. Data Accuracy & Real-Time Search

ChatGPT (GPT-4 & earlier versions): Mostly relies on pre-trained data, though browsing is available in premium versions.
Gemini (Google’s AI model): Has access to Google’s vast search database but is still improving its ability to generate research-grade content.
Perplexity Deep Research: Outperforms both in real-time search accuracy, offering source-cited, up-to-the-minute information.

2. Academic & Professional Research Capabilities

ChatGPT: Useful for general research but less effective in handling in-depth academic citations and live data retrieval.
Gemini: Integrates with Google Scholar but does not yet fully leverage academic databases efficiently.
Perplexity Deep Research: Best for deep academic research, as it processes research papers, legal documents, and scientific journals with higher accuracy.

3. Multimodal Processing

ChatGPT: Offers text-based interaction with limited image processing in some models.
Gemini: Supports text, images, and some code interpretation.
Perplexity Deep Research: Leads in multimodal research by analyzing images, datasets, and complex research reports.

4. Transparency & Citation System

ChatGPT & Gemini: Well, they many times lack proper citations or provide generalized references without direct links.
Perplexity Deep Research: Always cites sources, making it a more trustworthy option for research-heavy users.

Challenges & Limitations

No doubt, Perplexity’s Deep Research is a great tool, but it has some limitations as well:

Limited Adoption: ChatGPT and Gemini have larger user bases, and it may take time for Perplexity to gain mainstream traction.
Subscription Model: Secondly, if Deep Research is locked behind a paywall, it may discourage students and independent researchers from using it.
Potential Biases: AI models are only as unbiased as their training data, so ensuring neutrality in research remains a challenge.
Reliability of Sources: Though Perplexity cites sources, its effectiveness depends on the quality of the databases it pulls from. If it includes biased or outdated sources, it may impact accuracy.

Conclusion

In conclusion, Perplexity’s Deep Research is a great tool for research and report writing tasks. It excels in aligning information in the correct order and presenting it in a meaningful way. Moreover, the tool remains relevant for all users, including students, analysts, and corporate professionals. Nextr Technology is the best web development agency in Delhi. We provide insightful articles to create awareness and understanding among users and professionals. To know more, contact us!

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