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In today’s world of video and image analysis, detector models play a vital role in the technology. They should be ideally accurate, speedy and scalable. Their applications vary from small factory detection tasks to self-driving cars and also help in advanced image processing. The YOLO (You Only Look Once) model has purely pushed the boundaries […] The post A Comprehensive Guide to YOLOv11 Object Detection appeared first on Analytics Vidhya.
Real-world applications vary in inference requirements for their artificial intelligence and machine learning (AI/ML) solutions to optimize performance and reduce costs. Examples include financial systems processing transaction data streams, recommendation engines processing user activity data, and computer vision models processing video frames. In these scenarios, customized model monitoring for near real-time batch inference with Amazon SageMaker is essential, making sure the quality of predic
IBM’s latest addition to its Granite series, Granite 3.0, marks a significant leap forward in the field of large language models (LLMs). Granite 3.0 provides enterprise-ready, instruction-tuned models with an emphasis on safety, speed, and cost-efficiency focused on balancing power and practicality. The Granite 3.0 series enhances IBM’s AI offerings, particularly in domains where precision, […] The post IBM Granite-3.0 Model: A Guide to Model Setup and Usage appeared first on Analytics Vid
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) workshop at NeurIPS Workshop 2024. While large language models (LLMs) dominate the AI landscape, Small-scale large Language Models (SLMs) are gaining attention due to cost and efficiency demands from consumers. However, there is limited research on the training behavior and computational requirements of SLMs.
Meta has introduced an open implementation of the generate-a-podcast feature that Google offers in its NotebookLM platform. Named NotebookLlama, this new project utilizes Meta’s own Llama models for most of its processing. Similar to NotebookLM , NotebookLlama allows users to create podcast-style digests from text files, such as PDFs of articles or blog posts.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Generative AI (GenAI) initiatives should support broader public goals and needs, says global AI and analytics firm SAS’ Ensley Tan. While governments recognize GenAI's potential to improve operational efficiency and citizen experience, there is more to it than setting up projects and expecting them to work. Tan, Asia-Pacific Lead for Public [.
Various technological advancements have made synthetic identity theft easier than ever. At the same time, massive breaches are exposing sensitive personally identifiable information (PII) at an unnerving rate. Can data science techniques protect individuals’ identities? What Is Synthetic Identity Fraud? Synthetic identity fraud is a type of identity theft that occurs when a fraudster uses some combination of real and fake credentials to steal someone’s identity and commit financial fraud.
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Summary: Data Science Bootcamps offer a fast and cost-effective way to gain essential skills for a Data Science career. With hands-on projects, networking opportunities, and dedicated career support, participants are well-prepared to enter the job market quickly and effectively. Introduction Data Science Bootcamp are intensive program designed to teach essential skills quickly.
To learn more about current AI capabilities and to challenge myself, I decided to see what I could create in just 24 hours. This story is about making a complete music video clip, from start to finish, using AI tools. Everything in this music video is AI-generated, and I mean EVERYTHING: lyrics, music, voice, images, and videos.
For a machine that’s designed to replicate a star, the world’s newest stellarator is a surprisingly humble-looking apparatus. The kitchen-table-size contraption sits atop stacks of bricks in a cinder-block room at the Princeton Plasma Physics Laboratory (PPPL) in Princeton, N.J., its parts hand-labeled in marker. The PPPL team invented this nuclear-fusion reactor, completed last year, using mainly off-the-shelf components.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Invisibly to us, insects and other tiny creatures use static electricity to travel, avoid predators, collect pollen, and more. New experiments explore how evolution may have influenced this phenomenon.
Organizations invest considerable resources into collecting customer data to build digital footprints and profiles for enhancing the customer experience (CX). Previous technologies and toolsets limited businesses to simple, structured data, which included mainly transactional information as well as customer and call center conversations. Then, they would use a solution like sentiment analysis to determine if […] The post Best Practices for Getting Company Data Ecosystems AI-ready appeared
HTML Forms have powerful validation mechanisms, but they are heavily underused. In fact, not many people even know much about them. Is this because of some flaw in their design? Let’s explore.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Home Table of Contents NeRFs Explained: Goodbye Photogrammetry? How Do NeRFs Work? Block #A: We Begin with a 5D Input Block #B: The Neural Network and Its Output Block #C: Volumetric Rendering The NeRF Problem and Evolutions Summary and Next Steps Next Steps Citation Information NeRFs Explained: Goodbye Photogrammetry? In this blog post, you will learn about 3D Reconstruction.
Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Summary: Artificial Intelligence engineer in India offers lucrative salary prospects, with entry-level positions starting around INR 6-8 lakhs annually and senior roles exceeding INR 20 lakhs. Factors such as experience, location, industry demand, and educational background significantly influence earnings. Understanding these elements is crucial for aspiring AI professionals navigating their careers.
Summary: The Bootstrap Method is a versatile statistical technique used across various fields, including estimating confidence intervals, validating models in Machine Learning, conducting hypothesis testing, analysing survey data, and assessing financial risks. Its ability to provide robust estimates without strict assumptions makes it invaluable for data-driven decision-making.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
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