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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…
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Couriers in all areas of the States, particularly in the bustling and bustling city of Los Angeles, use various technologies to support their daily operations. These advanced technologies can automate delivery processes, maintain high customer satisfaction, and support businesses in meeting customer demands.
Here are some of the many technologies that los…
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Image by Author | DALLE-3 & Canva
Nowadays, a lot of applications are time-sensitive and hence require effective date and time management. Python provides many libraries to handle this task, and one of the most effective is Pendulum.
Pendulum inherits from its parent DateTime library with a more intuitive interface. The…
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Large Language Models (LMMs) are developing significantly and proving to be capable of handling more complicated jobs that call for a blend of different integrated skills. Among these jobs include GUI navigation, converting images to code, and comprehending films. A number of…
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Building robustness and determinism in LLM applications Image by the authorOpenAI recently announced support for Structured Outputs in its latest gpt-4o-2024–08–06 models. Structured outputs in relation to large language models (LLMs) are nothing new — developers have either used various prompt engineering techniques, or 3rd party tools. In this article we will explain what…
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As the tech world buzzes with the unveiling of Apple Intelligence, expectations are soaring. The leap from iPhone to AI-Phone paints a picture of a future where our devices aren’t just tools but partners capable of anticipating our needs and actions. Yet, amidst this enthusiastic anticipation, it’s crucial to examine the potential pitfalls that…
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Introduction We’ve all asked Alexa to play a song, or Siri to call someone, or ChatGPT to answer our questions. It’s quite fascinating how technology has advanced to a point where it can understand our intent and give us context aware responses. But what exactly is the technology behind all of this? Large Language…
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Data annotation is the process of labeling data available in video, text, or images. Labeled datasets are required for supervised machine learning so that machines can clearly understand the input patterns. In autonomous mobility, annotated datasets are essential for training self-driving vehicles to recognize and respond to road conditions, traffic signs, and potential hazards.…
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Introduction 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…