Large language model
This week’s AI news roundup covers various interesting developments in the field. From AI pranks involving presidents to controversies surrounding OpenAI, the article delves into diverse topics such as AI’s influence on elections, advancements in AI technology, and the potential application of AI in various domains. The implications of uncensored AI models and the ethical…
Researchers at Cohere have introduced a pioneering development in the Mixture of Experts (MoE) architecture, addressing scalability issues in AI models. The innovative MoE variant demonstrates superior parameter efficiency, outperforming traditional techniques in fine-tuning instructions. Their study showcases remarkable adaptability and competitive performance, exhibiting the potential for broader application across various domains.
The text discusses DATACOMP, a dataset testbed featuring 12.8 billion image-text pairs from Common Crawl. Researchers can use it to design filtering techniques, curate data, and assess datasets for improving multimodal models. DATACOMP-1B achieves a 3.7 percentage point improvement over OpenAI’s CLIP ViT-L/14 in zero-shot accuracy on ImageNet. Access the Paper, Code, and Project for…
The article “Advanced Validation Techniques with Pandera” explores the comprehensive data validation method, Pandera. It introduces Pandera’s functionalities, such as schema enforcement, customizable validation, and integration with Pandas. It exemplifies how to define and validate a schema using Pandera and demonstrates complex validations and statistical hypothesis testing. The article emphasizes the importance of data integrity…
In 2024, Large Language Models (LLMs) are expected to become the interface between humans and computer systems. Prompt Engineering, the process of writing high-quality natural language instructions for LLMs and producing code that uses conditional prompting, will play a crucial role in this. LLMs are anticipated to significantly impact programming and AI-assisted tasks, increasing efficiency…
The text outlines the LangChain framework, demonstrating the ability to query SQL databases using human language. It describes how LangChain allows the integration of Large Language Models (LLMs) with other tools, enabling the creation of interactive applications. The sample application, a simple Q&A agent, exemplifies LangChain’s potential for complex business analytics with LLMs.
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…