NEWS IN BRIEF: AI/ML FRESH UPDATES

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Revolutionizing Mining Equipment Monitoring with AWS Prototyping and Computer Vision

ICL, a multinational manufacturing and mining corporation, developed in-house capabilities using machine learning and computer vision to automatically monitor their mining equipment. With support from the AWS Prototyping program, they were able to build a framework on AWS using Amazon SageMaker to extract vision from 30 cameras, with the potential to scale to thousands.

Preventing AI Hallucination: Harnessing Pinecone Vector Database & Llama-2 for Retrieval Augmented Generation

LLMs like Llama 2, Flan T5, and Bloom are essential for conversational AI use cases, but updating their knowledge requires retraining, which is time-consuming and expensive. However, with Retrieval Augmented Generation (RAG) using Amazon Sagemaker JumpStart and Pinecone vector database, LLMs can be deployed and kept up to date with relevant information to prevent AI Hallucination.

NANA: Moonshine Studio's AI Receptionist Revolutionizes Guest Greetings

Moonshine Studio's 3D artist, Eric Chiang, creates an AI-powered virtual assistant named NANA using GPU-accelerated features and a GeForce RTX 4090 graphics card. NVIDIA Studio Drivers now support Reallusion iClone AccuFACE plugin and other enhancements, while the #WinterArtChallenge invites artists to share their winter-themed creations for a chance to be featured.

Streamline MLOps with Amazon SageMaker Pipelines and GitHub Actions

MLOps is essential for integrating machine learning models into existing systems, and Amazon SageMaker offers features like Pipelines and Model Registry to simplify the process. This article provides a step-by-step implementation for creating custom project templates that integrate with GitHub and GitHub Actions, allowing for efficient collaboration and deployment of ML models.

Unleashing the Power of Classical Computation in Neural Networks

This article explores the importance of classical computation in the context of artificial intelligence, highlighting its provable correctness, strong generalization, and interpretability compared to the limitations of deep neural networks. It argues that developing AI systems with these classical computation skills is crucial for building generally-intelligent agents.

Mixtral 8x7B: The French AI Challenger to OpenAI

Mistral AI announces Mixtral 8x7B, an AI language model that matches OpenAI's GPT-3.5 in performance, bringing us closer to having a ChatGPT-3.5-level AI assistant that can run locally. Mistral's models have open weights and fewer restrictions than those from OpenAI, Anthropic, or Google.

Revolutionizing Last-Mile Delivery: Streamlining Workforce Management with Amazon Forecast and AWS Step Functions

Getir, the ultrafast grocery delivery pioneer, has implemented an end-to-end workforce management system using Amazon Forecast and AWS Step Functions, resulting in a 70% reduction in modelling time and a 90% improvement in prediction accuracy. This comprehensive project calculates courier requirements and solves the shift assignment problem, optimizing shift schedules and minimizing missed orders.

Revolutionizing Enterprises: The Rise of Generative AI and Collaborative Partnerships

Generative AI and large language models dominated enterprise trends this year, with companies like Amdocs, Dropbox, and SAP building customized applications using RAG and LLMs. Open-source pretrained models are set to revolutionize businesses' operational strategies, while off-the-shelf AI and microservices make it easier for developers to create complex applications.

Dropbox's Controversial AI Feature Raises Privacy Concerns

Dropbox faces backlash after enabling a default setting that shares user data with OpenAI for AI-powered search, but assures data is only shared when actively used and is deleted within 30 days. CEO Drew Houston apologizes for customer confusion and emphasizes that no customer data is automatically sent to third-party AI services.