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3 Oct
Posted by
Nandan
Advanced prediction agent
This AI agent supports organizations in managing and optimizing multivariate financial prediction models. It combines financial, operational, and external data to enhance predictive forecasting. By processing diverse internal and external data factors, the agent provides insights into hidden patterns or trends. As a result, organizations can generate timely and accurate revenue forecasts, leading …
25 Sep
Posted by
Nandan
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use…
Large language models (LLMs) are revolutionizing how we interact with data. By augmenting LLMs with external data, we can create applications that deliver accurate, domain-specific insights tailored to user queries. This approach enhances the models’ expertise, timeliness, and alignment with domain experts while reducing hallucinations and improving controllability and explainability.
Overco…
24 Sep
Posted by
Nandan
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
Large Language Models (LLMs) have revolutionized various applications, but their performance heavily relies on the clarity of prompts. A new method called “Rephrase and Respond” (RaR) allows LLMs to rephrase and expand questions posed by humans, leading to improved comprehension and more accurate responses.
Ambiguity in Human-LLM Communication
Misunderstandings often arise when humans …