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The Complete Guide to NetSuite Integrations in 2024

UncategorisedOctober 9, 202450Views 0Likes 0Comments

Oracle NetSuite is the most popular mid-market ERP (enterprise resource planning) software in the world today, and has more than 40,000 customers worldwide. While the core ERP is used by pretty much all of these businesses, more than two-thirds of them also use NetSuite to make their business workflows more efficient - by merging customer…

Best OCR APIs in 2024

UncategorisedOctober 8, 202451Views 0Likes 0Comments

Optical Character Recognition (OCR) technology has become a vital component for businesses looking to automate document processing and streamline data extraction. Very simply put, OCR involves scanning documents and converting the scanned image into machine-readable text, allowing organisations to process a wide variety of documents, such as invoices, contracts, and receipts, without manual data…

Harnessing AI for Climate Change Mitigation

IoTOctober 8, 202485Views 3Likes 0Comments

AI enthusiasts in all sectors are finding creative ways to implement artificial intelligence’s predictive analytics and modelling capabilities to mitigate climate change. What are some examples across industries where effective installation yields results? Smart Grid Management in the Energy Sector “Urban planners, electricians and engineers are collaborating to grow the grid’s capacity and resilience…

Best practices and automation tips

NanonetsOctober 7, 202466Views 1Like 0Comments

"Let's just ensure that going forward, all the invoices are forwarded to Mr. X for validation before processing." If only invoice validation were that simple. In reality, it requires systematic checks and balances, not just one person's oversight. Studies show that 25% of invoice errors slip through accounts payable processes undetected despite internal correction…

Lotus: A Diffusion-based Visual Foundation Model for Dense Geometry Prediction

AI NewsOctober 7, 202448Views 0Likes 0Comments

Dense geometry prediction in computer vision involves estimating properties like depth and surface normals for each pixel in an image. Accurate geometry prediction is critical for applications such as robotics, autonomous driving, and augmented reality, but current methods often require extensive training on labeled datasets and struggle to generalize across diverse tasks. Existing methods for…

Supercharge Your LLM Apps Using DSPy and Langfuse | by Raghav Bali | Oct, 2024

Data ScienceOctober 7, 202448Views 1Like 0Comments

As illustrated in figure 1, DSPy is a pytorch-like/lego-like framework for building LLM-based apps. Out of the box, it comes with: Signatures: These are specifications to define input and output behaviour of a DSPy program. These can be defined using short-hand notation (like “question -> answer” where the framework automatically understands question is the input…

Fine-Tuning Vision Language Models (VLMs) for Data Extraction

UncategorisedOctober 3, 202444Views 0Likes 0Comments

💡 Note that this is the 3rd and final article in the series of VLMs for data extraction. You can find - the one about surveying VLMs here, and - evaluating VLMs on your own dataset here Introduction If you’re beginning your journey into the world of Vision Language Models (VLMs), you’re entering an…

🚀 Limited Time Offer: Get Your Exclusive Online Passes to the Chatbot Conference — Act Fast! 🚀 | by Cassandra C. | Sep, 2024

Human AiOctober 3, 2024100Views 2Likes 0Comments

Exciting news ahead! With an incredible surge of enthusiasm, we're rolling out an exclusive Online Only option for this year's Chatbot Conference, kicking things off with an absolutely phenomenal launch! Today kicks off an incredible flash sale, showcasing a limited selection of tickets—only 18 passes available at this unbeatable price. Prepare to grab this incredible…

Efficient Knowledge Management for Data Teams Using Notion

Data AnalyticsOctober 2, 202480Views 1Like 0Comments

Image by Editor | Ideogram An organization's data teams often encounter complex projects with a variety of resources and structures scattered around. As the number of projects and team members increases, the information becomes more tangled and increasingly complex to manage. This is why we need to consolidate the information in a single platform.…

Microsoft Researchers Unveil RadEdit: Stress-testing Biomedical Vision Models via Diffusion Image Editing to Eliminate Dataset Bias

AI NewsOctober 2, 202450Views 1Like 0Comments

Biomedical vision models are increasingly used in clinical settings, but a significant challenge is their inability to generalize effectively due to dataset shifts—discrepancies between training data and real-world scenarios. These shifts arise from differences in image acquisition, changes in disease manifestations, and population variance. As a result, models trained on limited or biased datasets often…