CDAO Financial Services 2024: explore data and analytics in financial services

The new release from NousResearch, Nous Hermes 2 Mixtral 8x7B, addresses challenges in AI language models. The model is trained on extensive data, demonstrating exceptional performance across various tasks and surpassing existing benchmarks. Its innovative SFT…

Researchers from Microsoft Azure and Microsoft Research have developed a framework for low-precision training using FP8, which can significantly reduce the costs associated with training large language models (LLMs). The framework offers fast processing, minimal memory…

Generative Models and Their Impact Generative models have transformed areas like language, vision, and biology by learning from complex data. However, they face challenges in improving performance during inference, especially diffusion models, which are used for…

Practical Solutions for Diffusion Models Challenges in Deploying Diffusion Models Diffusion models, while powerful in generating high-quality images, videos, and audio, face challenges such as slow inference speeds and high computational costs, limiting their practical deployment.…

Daron Acemoglu, an economist at MIT, has been awarded the prestigious A.SK Social Science Award from the WZB Berlin Social Science Center. The award recognizes his influential work on the role of institutions in capitalist economies,…

Improving Inference in Large Language Models (LLMs) Inference in large language models is tough because they need a lot of computing power and memory, which can be expensive and energy-intensive. Traditional methods like sparsity, quantization, or…

Amazon SageMaker Canvas, introduced in 2021, allows business analysts to build and deploy machine learning (ML) models without coding. With recent updates, SageMaker Canvas now supports foundation models (FMs), enabling users to query documents from their…

UK parliamentarians and advocacy organizations are calling for a temporary halt to the use of live facial recognition technology by the police. Concerns are being raised about the potential misuse and ineffectiveness of the technology, as…

The article explains the challenge of estimating true audience size on social media and introduces the Lincoln Index as a statistical tool to address this. It uses probability theory and simulations to demonstrate the effectiveness of…

Practical Solutions for AI Operations Guardrails for Reliable and Safe AI Portkey AI replaces the Gateway Framework with Guardrails, ensuring reliable interaction with large language models (LLMs). Guardrails format requests and responses according to predefined standards,…

Researchers from Microsoft and Georgia Tech have introduced VCoder, a method that enhances Multimodal Large Language Models’ (MLLMs) object perception abilities. By integrating additional perception modalities, VCoder significantly improves model performance on vision-language tasks, particularly in…

The Solution: Patch-Level Training for Large Language Models LLMs Reducing Training Costs and Improving Efficiency without Compromising Model Performance Overview The proposed patch-level training method offers a potential solution to the challenge of large language model…

The Challenge in Multilingual NLP The increasing availability of digital text in diverse languages and scripts presents a significant challenge for natural language processing (NLP). Multilingual pre-trained language models (mPLMs) often struggle to handle transliterated data…

Practical AI Solution: Cognita – Building Modular RAG Applications Value of Cognita Framework Managing and deploying Retrieval-Augmented Generation (RAG) systems for production environments can be challenging, but Cognita offers a solution. It provides a well-organized framework…

Understanding Hypothesis Validation Hypothesis validation is crucial in scientific research, decision-making, and gathering information. Researchers in various fields like biology, economics, and policymaking depend on testing hypotheses to draw conclusions. Traditionally, this involves designing experiments, collecting…

This text is about effectively handling indices in data frames. For more information, please read the full article on Towards Data Science.

K-Sort Arena: A Benchmarking Platform for Visual Generation Models Practical Solutions and Value A team of researchers from the Institute of Automation, Chinese Academy of Sciences, and the University of California, Berkeley have introduced K-Sort Arena,…

Revolutionizing Personalized Travel Planning Through AI-Driven Itineraries Practical Solutions and Value As global tourism grows, the demand for AI-driven travel assistants is increasing. These systems provide practical and highly customized itineraries based on real-time data and…