Going Beyond the LLM Context Window Limitation: How Alani AI Outperforms Claude 3.5 Sonnet Outright for Research

bundleIQ
3 min readJul 5, 2024
Photo by Steve Johnson on Unsplash

Are you using Large Language Models (LLMs) to process extensive datasets like multiple reports or transcripts? If so, you’re likely aware of both the power and limitations of these AI tools.

In this post, we’ll explore a comparison between two AI-powered tools: Alani, an AI-powered knowledge base, and Claude, a Large Language Model. This comparison focuses on their performance in analyzing sustainability reports from major tech companies, while also highlighting the unique features of Alani’s architecture that set it apart from standard LLMs. Whether you’re conducting ESG research, analyzing market trends, or processing large volumes of textual data, understanding the differences between these approaches could significantly impact the quality and efficiency of your analysis.

Watch the side-by-side comparison video below.

Key Observations

AI Architecture:

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Written by bundleIQ

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