QuickBooks is one of the most widely used apps for bookkeeping, and it offers a convenient way to reconcile credit cards without needing external tools. In this article, we guide you through the credit card reconciliation process in QuickBooks, addressing common issues and providing useful tips to streamline the procedure. In the top help…
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Imagine a world where machines are able to understand what you say and how you feel; where you can talk to a computer, and it’ll respond; and where technology can sift through the text and summarize it for you. Wait a minute. You don’t have to imagine anything — it’s…
Exploring robust RAG development with LlamaPacks, Lighthouz AI, and Llama Guard Image generated by DALL-E 3 by the authorSince the launch in late November 2023, LlamaPacks has curated over 50 packs to help jump-start your RAG pipeline development. Among these, many advanced retrieval packs emerged. In this article, let’s dive into seven advanced retrieval packs;…
Learning to reconcile with QuickBooks Online is a starting step for using QuickBooks to manage books. QuickBooks is a handy tool to help you reconcile your accounts without using any external tools. In this article, we walk through the reconciliation process in QuickBooks, address common issues, and provide useful tips. Search for “Reconcile” in…
Methods for creating fine-tuning datasets for text-to-Cypher generation. Created with ChatGPT-DALLECypher is Neo4j’s graph query language. It was inspired and bears similarities with SQL, enabling data retrieval from knowledge graphs. Given the rise of generative AI and the widespread availability of large language models (LLMs), it is natural to ask which LLMs are capable of…
Vision-language models (VLMs) are increasingly prevalent, offering substantial advancements in AI-driven tasks. However, one of the most significant limitations of these advanced models, including prominent ones like GPT-4V, is their constrained spatial reasoning capabilities. Spatial reasoning involves understanding objects’ positions in three-dimensional space and their spatial relationships with one another. This limitation is particularly pronounced…
Machine learning revolves around algorithms, which are essentially a series of mathematical operations. These algorithms can be implemented through various methods and in numerous programming languages, yet their underlying mathematical principles are the same. A frequent argument is that you don’t need to know maths for machine learning because most modern-day libraries and packages abstract…
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$300k/year. That’s probably the first thing you saw and you’re probably thinking ‘Huh, how?.’ I asked myself the exact same thing. But I am not surprised. With the way Generative AI was going in the year 2023, this was bound to be the next hot career that everybody wanted a…
Optimize the Embedding Space for Improving RAG Image by author. AI generated.Embeddings are vector representations that capture the semantic meaning of words or sentences. Besides having quality data, choosing a good embedding model is the most important and underrated step for optimizing your RAG application. Multilingual models are especially challenging as most are pre-trained on…
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You’ve read on these pages (and I’m guilty of writing some of those articles) that data science projects are crucial for developing the whole package of technical data science skills. That’s true, they are. But what’s also vital is having high-quality datasets for your data science projects. Collecting quality data…