Introduction Retrieval Augmented Generation, or RAG, is a mechanism that helps large language models (LLMs) like GPT become more useful and knowledgeable by pulling in information from a store of useful data, much like fetching a book from a library. Here’s how retrieval augmented generation makes magic with simple AI workflows: Knowledge Base (Input):…
In the AI space, where technological development is happening at a rapid pace, Retrieval Augmented Generation, or RAG, is a game-changer. But what is RAG, and why does it hold such importance in the present AI and natural language processing (NLP) world? Before answering that question, let's briefly talk about Large Language Models (LLMs).…
A couple of days ago, the New York Times published an article by Emma Goldberg asking, “Will AI Kill Meaningless Jobs?” Goldberg begins the article with a techno-optimist’s perspective, suggesting that when generative AI destroys opportunities for humans to work, it’s an ultimately of benefit to human workers, because the jobs that are replaced by…
Maintaining strict temperature controls is paramount in cold chain logistics. The integrity of perishable goods, including food and pharmaceuticals, hinges on precise temperature management throughout the supply chain.
However, traditional monitoring methods often fall short, leaving gaps that can lead to spoilage, financial losses and regulatory noncompliance. This situation is where real-time AI…
Image by Pexels
Machine Learning (ML for short) is not just about making predictions. There are other unsupervised processes, among which clustering stands out. This article introduces clustering and cluster analysis, highlighting the potential of cluster analysis for segmenting, analyzing, and gaining insights from groups of similar data
What is Clustering?
In…
A new research addresses a critical issue in Multimodal Large Language Models (MLLMs): the phenomenon of object hallucination. Object hallucination occurs when these models generate descriptions of objects not present in the input data, leading to inaccuracies undermining their reliability and effectiveness. For instance, a model might incorrectly assert the presence of a “tie” in…
Technologies
Published
31 July 2024
…
User Persona based Personalization of LLM generated Responses ChatGPT, or the underlying large language models (LLMs) today, are able to generate contextualized responses given a prompt. As a next step in the LLM evolution, we expect the responses to be more and more personalized with respect to the persona, conversation history, current conversation context and…
Quickbooks is an accounting software that helps small and medium businesses perform financial operations such as expense tracking, reconciliation, and invoicing. Quickbooks imports transaction data from uploaded bank statements to perform financial operations. In order to import transaction data, bank statements need to be uploaded in Quickbooks supported formats such as Quicken (QFX), QuickBooks Online…
Businesses often use a third-party finance and accounting software, such as Quickbooks, to process financial and transactional data for efficient accounting and financial due diligence. A firm’s financial data is mostly present in PDF documents such as invoices, receipts, bank statements, and purchase orders. However, financial data in this form cannot be uploaded or imported…