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With the emergence of large language models, prompt engineering has become an essential skill. Put simply, prompting involves how humans interact with machines. Engineering…
Vision-language models (VLMs) have gained significant attention due to their ability to handle various multimodal tasks. However, the rapid proliferation of benchmarks for evaluating these models has created a complex…
Unlocking the power of large language models Photo by ZHENYU LUO on UnsplashIn this article, I will examine how large language models (LLMs) can convert natural language into SQL, making…
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…
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…
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…
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. …
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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…
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…
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