@aman_priyanshu54

Recherche-Auto, harnessed through the advanced prowess of the state-of-the-art Language Learning Model (LLM) - Claude, is revolutionizing the domain of web-based news research by streamlining the organization and encoding of vast datasets into bespoke knowledge graphs. We further streamline the process by automating knowledge aggregation using search results and preparing concise, informational summaries, significantly enhancing the efficiency and effectiveness of data acquisition and analysis. Our implementation includes Retrievable Automated Generation (RAG) systems, which bolster our platform's ability to deliver targeted information discovery, ensuring that search outcomes are precisely aligned with the user's unique informational needs. In addition to RAGs, Recherche-Auto employs LLMs for automatic error correction, particularly for search queries that result in dead ends. This feature dynamically suggests alternative queries or modifies the existing ones to circumvent informational deadlocks, thus maintaining the momentum of research without manual intervention. From a market research and economics perspective, Recherche-Auto is poised to automate and economize the extraction of valuable insights from web-based sources. By minimizing the time and resources needed for comprehensive market analysis, it offers businesses a competitive edge in data-driven decision-making, potentially saving billions in research expenditures while fostering a more informed, agile, and adaptive corporate strategy. We aim to revolutionize the global market research industry that generates more than $118.8 billion in annual revenue.

Create noteworthy apps with advanced reasoning across audio, vision, and text in real time with GPT-4o. 🕒 72 hours to complete the challenge 💡 Create revolutionary apps which use GPT-4o advanced features 🤝 Take part alone or form a team with other participants 🚀 Engage in a 3-day virtual development marathon and network with tech and business leaders 🏆 Win opportunity to participate in LabLab NEXT acceleration program

🕒 24 hours to complete the challenge 💡 Create apps with enhanced vision and increased trustworthiness from Claude 3 Opus 🤝 Take part alone or form a team with other participants 🚀 The final project can be used for your portfolio, and the startup application to the Slingshot accelerator

Revolutionize AI with TruLens by TruEra - Your Gateway to Building Better LLM Applications! Build with TruLens, LLMs development and explainability tool by TruEra Leverage AI observability for dynamic app enhancement Collaborate with like-minded individuals! For the Hackathon you can work in a team from 1 to 6 members. In this Hackathon, you can also join with a project from the TruLens 48-Hours Hackathon, provided you adhere to the following rules. Consider it a warm-up, and explore the world of technology by participating in the TruLens 48-Hours Hackathon.