Analytics Vidhya
DECEMBER 17, 2024
The landscape of AI is evolving rapidly, and language models, particularly those designed for reasoning and problem-solving tasks, are at the heart of this revolution. One such breakthrough in AI is Phi-4, a 14-billion parameter model developed by Microsoft Research.
Analytics Vidhya
OCTOBER 14, 2024
Introduction While FastAPI is good for implementing RESTful APIs, it wasn’t specifically designed to handle the complex requirements of serving machine learning models. FastAPI’s support for asynchronous calls is primarily at the web level and doesn’t extend deeply into the model prediction layer.
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Analytics Vidhya
MARCH 25, 2025
Isnt it impressive how much these models can reason, understand, and generate? But the moment your agent needs to do something real, like check a database, read from a CRM, or fetch a Google Doc; […] The post How to Use MCP: Model Context Protocol appeared first on Analytics Vidhya.
Analytics Vidhya
OCTOBER 18, 2024
As models grow larger and more complex, efficiently managing memory during model loading becomes increasingly important, especially when working with limited GPU or CPU resources. I recently came across a post by Sebastian that caught my attention, and I wanted to dive deeper into its content.
Speaker: Gertjan de Lange
If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data. Don't let uncertainty drive your business.
Analytics Vidhya
NOVEMBER 26, 2024
Andrew Ng recently released AISuite, an open-source Python package designed to streamline the use of large language models (LLMs) across multiple providers. This innovative tool simplifies the complexities of working with diverse LLMs by allowing seamless switching between models with a simple “provider:model” string.
Analytics Vidhya
DECEMBER 18, 2024
Metas Segment Anything Model (SAM) has demonstrated its ability to detect objects in different areas of an image. This models architecture is flexible, and users can guide it with various prompts. During training, it could segment objects that were not in its dataset.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. It is based on interviews with MLOps user companies and several MLOps experts. Which organizational challenges affect MLOps implementations.
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Companies are now running models on a quarterly basis, and sometimes more frequently, to adjust to changes in their business landscape. Analysts who are moving from spreadsheets to more advanced modeling tools. This guide offers hands-on advice that will help you use network design to achieve successful results. Who is this guide for?
Speaker: Nils Davis, Principal, NPD Associates
In this session, Nils Davis will provide a very simple model of what makes a great story - and you will be surprised how powerful this model is! Your end-user is the most important part of your product’s development. Their satisfaction is the blood that runs through the veins of your product. The difficult journey to a solution.
Advertiser: Data Robot
More and more critical decisions are automated through machine learning models, determining the future of a business or making life-altering decisions for real people. The number of critical touch points is growing exponentially with the adoption of AI. With the rising stakes, AI systems must be built to be humble, just like humans.
Advertiser: ZoomInfo
Develop an effective customer health scoring model to mitigate churn and identify opportunities across your customer base. The evolution of every high-functioning, effective customer success strategy centers around three C’s: connected experiences, an engaging customer journey, and a culture built on customer-centricity.
Advertiser: Data Robot
The importance of governance in ensuring consistency in the modeling process. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. AI storytelling in communicating value to your organization. Trusted AI and how vital it is to your AI projects.
Advertiser: Data Robot
Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance. Trust is an essential part of doing business. For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions.
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For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. Learn all about this AI technique and how it can help your organization.
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