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.
OpenAI's ChatGPT, a groundbreaking AI language model, sparked excitement with its impressive abilities, including excelling in exams and playing chess. However, skeptics argue that true intelligence should not be confused with memorization, leading to scientific studies exploring the distinction and making the case against AGI.
LM Studio is a tool that allows local machine usage of large language models like GPT-x, LLaMA-x, and Orca-x, offering a clean and intuitive UI for exploring models and conducting reasoning tasks. However, its creator and potential connections with other companies remain unclear.
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.
Mathew Schwartz, an assistant professor at the New Jersey Institute of Technology, is using NVIDIA Omniverse and OpenUSD to help designers address the challenge of accessibility in building design. Schwartz's team developed open-source code that generates a complex accessibility graph, providing feedback on human movement and energy expenditure. With Omniverse, designers can visualize the graph...
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.
Summarization is essential in our data-driven world, saving time and improving decision-making. It has various applications, including news aggregation, legal document summarization, and financial analysis. With advancements in NLP and AI, techniques like extractive and abstractive summarization are becoming more accessible and effective.
The article explores common data clustering techniques, with a focus on spectral clustering. Using k-means to compute cluster labels from eigenvectors is found to be the best approach, despite variations and complexities.
GeForce NOW adds 17 new games, including The Day Before and Avatar: Frontiers of Pandora, with over 500 games now supporting RTX ON. Ultimate members can experience cinematic ray tracing and stream at up to 4K resolution, while Priority members can build and survive at 1080p and 60fps.
Conversational AI has evolved with generative AI and large language models, but lacks specialized knowledge for accurate answers. Retrieval Augmented Generation (RAG) connects generic models to internal knowledge bases, enabling domain-specific AI assistants. Amazon Kendra and OpenSearch Service offer mature vector search solutions for implementing RAG, but analytical reasoning questions requir...
Large language models (LLMs) like GPT NeoX and Pythia are gaining popularity, with billions of parameters and impressive performance. Training these models on AWS Trainium is cost-effective and efficient, thanks to optimizations like rotational positional embedding (ROPE) and partial rotation techniques.
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.
Data projects often fail to deliver real-life impact due to macro-elements such as data availability, skillset, timeframe, organizational readiness, and political environment. The availability and accessibility of relevant data are fundamental, and if data is unattainable, the feasibility of the project should be reconsidered.
Vodafone is transforming into a TechCo by 2025, with plans to have 50% of its workforce involved in software development and deliver 60% of digital services in-house. To support this transition, Vodafone has partnered with Accenture and AWS to build a cloud platform and engaged in an AWS DeepRacer challenge to enhance their machine learning skills.
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.