Spectral clustering is a complex machine learning technique that uncovers patterns in data. Implementing it involves computing affinity and Laplacian matrices, eigenvector embeddings, and performing k-means clustering.
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 discusses the launch of ChatGPT and the rise in popularity of generative AI. It highlights the creation of a web UI called Chat Studio to interact with foundation models in Amazon SageMaker JumpStart, including Llama 2 and Stable Diffusion. This solution allows users to quickly experience conversational AI and enhance the user experience with media integration.
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...
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.
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.
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.
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.
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.
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.
Tesla releases demo video of its Optimus Gen 2 humanoid robot, showcasing significant hardware improvements. Skepticism remains after recent AI demonstration controversies.
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.
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...
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.