Amazon, a major employer of Ph.D. graduates in economics and related fields, offers economist roles close to data science and machine learning. The Amazon Economist interview process blends insights applicable across both domains, covering behavioral questions aligned with Amazon’s Leadership Principles and technical questions focused on applying econometric models to real-world business problems.
The research investigates the UNet encoder in diffusion models, identifying changes in encoder and decoder features. It introduces an innovative encoder propagation scheme for accelerated sampling and a noise injection method for texture enhancement. Validation across tasks shows significant speed gains for specific models while maintaining high-quality generation. The FasterDiffusion code release aims to encourage…
Automate RAG evaluation without manual intervention. Understand RAG importance and its impact on production. Learn to generate a synthetic test set and compute RAG metrics using Ragas package. Navigate through the implementation details in the accompanying notebook. Evaluate RAG with Ragas framework using VertexAI LLMs and embeddings for comprehensive analysis and understanding.
Stanford Internet Observatory found over 3,200 suspected child sexual abuse images in the LAION database used to train AI image generators. With the Canadian Centre for Child Protection’s assistance, they reported their findings to law enforcement. AI generators have been implicated in child sex abuse cases. LAION removed datasets and emphasized zero-tolerance for illegal content.…
Summary: The article discusses the challenges of running machine learning inference at scale and introduces Hugging Face’s new Candle Framework, designed for efficient and high-performing model serving in Rust. It details the process of implementing a lean and robust model serving layer for vector embedding and search, utilizing Candle, Bert, Axum, and REST services. Note:…
The text discusses common challenges encountered in data science projects and provides practical solutions to address them, such as writing maintainable and scalable code, utilizing Jupyter Notebooks appropriately, using descriptive variable names, improving code readability, eliminating duplicated code segments, avoiding frequent use of global variables, and implementing proper code testing. The article emphasizes the importance…
Generative AI in contact centers is becoming increasingly crucial, driving customer experience excellence and operational efficiency. The “SageMaker Canvas” tool, embedded with Amazon Bedrock and JumpStart models, empowers the creation of customer-centric, compliance-improved call scripts. Combined with Amazon Connect features, this facilitates seamless, AI-enhanced customer-agent interactions, ensuring prompt issue resolution and personalized support.
The article emphasizes that valuable skills can earn substantial income. It introduces the “Expert Playbook” used by successful internet entrepreneurs like Daniel, Iman Ghadzi, Russel Brunson, and Alex Becker. The playbook involves learning an in-demand skill, driving traffic, offering low ticket and high ticket products, providing coaching, and creating valuable software.
Midjourney, known for creating AI artwork, can also incorporate text directly into images using prompts. To achieve this, users must access the Midjourney server on Discord, enable V6, and use specific prompts to add text to images. The new V6 model offers enhanced features for prompt lengths and image control, making the storytelling aspect of…
In 2023, Towards Data Science reflected on the diversity and dynamism of the data science field, curating memorable posts in programming, career growth, and creative projects. The selection included articles on Python coding, career advice, and responsible AI deployment. The authors expressed gratitude for the support and announced a short hiatus for the holiday season.
A groundbreaking AI death calculator, “life2vec,” developed by researchers in Denmark and the United States, can predict individual lifespans with 78% accuracy. It analyzes personal details like income, profession, residence, and health history. Despite its predictive power, its use will not inform individuals of their death predictions due to responsibility concerns.
Large Language Models (LLMs) have shown proficiency in various tasks, prompting researchers to explore their application in mathematical problem-solving. They introduce a multimodal geometry dataset, Geo170K, and a model named G-LLaVA, addressing limitations of current models in solving geometric problems. G-LLaVA outperforms leading models on the MathVista benchmark, showcasing its potential and impact.
Amphion, by researchers from The Chinese University of Hong Kong, Shenzhen, Shanghai AI Lab, and Shenzhen Research Institute of Big Data, is a versatile open-source toolkit for audio, music, and speech generation. It emphasizes reproducible research, offers unique visualizations of classic models, supports diverse generation tasks, and includes vocoders and evaluation metrics for high-quality audio…
The Alibaba research team introduces SCEdit, a novel image synthesis framework addressing the need for high-quality image generation and precise control. Leveraging innovative modules SC-Tuner and CSC-Tuner, SCEdit enables efficient skip connection editing, exhibiting superior performance in text-to-image generation and controllable image synthesis tasks. Comparative analyses highlight its efficiency and flexibility, positioning SCEdit as a…
ReLoRA, developed by a team from University of Massachusetts Lowell, Eleuther AI, and Amazon, is a parameter-efficient method revolutionizing large language model (LLM) fine-tuning. It enables training of large neural networks with up to 1.3B parameters, achieving comparable performance to regular training while saving up to 5.5Gb of GPU memory and improving training speed by…
The text provides a hands-on guide for adding a motivational GitHub action to improve code test coverage. It emphasizes the importance of test coverage and introduces a new GitHub Action tool that generates test coverage reports and sets a minimal coverage threshold. The tool aims to improve the development process and increase production stability through…
Machine learning is not the optimal solution for every task. The KISS principle, exemplified in signature detection, serves as a reminder to keep things simple. For further details, refer to the article on Towards Data Science.
Northwestern University researchers have developed deep learning models to analyze polyadenylation in the human genome. These models accurately identify potential polyA sites, consider genomic context, and demonstrate the impact of genetic variants on polyadenylation activity. The research advances understanding of molecular processes regulating gene expression and their role in human disorders. For more information, refer…
Apple researchers have developed an innovative approach to efficiently run large language models (LLMs) on devices with limited memory. Their method involves storing LLM parameters on flash memory and selectively transferring data to DRAM as needed, resulting in significant improvements in inference speed and I/O latency. The study emphasizes the importance of considering hardware characteristics…
Artificial intelligence is revolutionizing video generation, with Google AI introducing VideoPoet. This large language model integrates various video generation tasks, such as text-to-video, image-to-video, and video stylization, using tokenizers for processing. Its unique approach offers the ability to create high-quality multimedia content and has vast potential in AI-driven video generation.