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…
"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…
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…
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…
💡 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…
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…
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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.…
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…
Today, we’re releasing two updated production-ready Gemini models: Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002 along with: >50% reduced price on 1.5 Pro (both input and output for prompts <128K) 2x higher rate limits on 1.5 Flash and ~3x higher on 1.5 Pro 2x faster output and 3x lower latency Updated default filter settings These new models build on…
End-to-end Project Implementation 19 min read · Aug 29, 2024 Image created by the authorDeveloping, deploying, and maintaining machine learning models in production can be challenging and complex. This is where Machine Learning Operations (MLOps) comes into play. MLOps is a set of practices that automate and simplify machine learning (ML)…