AI

The financial and banking industry can significantly enhance investment research by integrating generative AI into daily tasks like financial statement analysis. By taking advantage of advanced natural language processing (NLP) capabilities and data analysis techniques, you can streamline common tasks like these in the financial industry: Automating data extraction – The manual data extraction process to analyze financial statements can be time-consuming and prone to human errors. Generative AI models can automate finding and extracting financial data from documents like 10-Ks, balance sheets, and income statements. Foundation model (FMs) are trained to identify and extract relevant information like expenses, revenue,…

UNICOM Engineering Releases Immersion Ready HGX 8-Way GPU Platform for AI - AI-Tech Park This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. ACCEPT Privacy PolicyPrivacy & Cookies Policy Source link lol

Live streaming has been gaining immense popularity in recent years, attracting an ever-growing number of viewers and content creators across various platforms. From gaming and entertainment to education and corporate events, live streams have become a powerful medium for real-time engagement and content consumption. However, as the reach of live streams expands globally, language barriers and accessibility challenges have emerged, limiting the ability of viewers to fully comprehend and participate in these immersive experiences. Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock, an AWS managed…

You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards, making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks. Model cards are an essential component for registered ML models, providing a standardized way to document and communicate key model metadata, including intended use, performance, risks, and business information. This transparency is particularly important for registered models, which are often deployed in high-stakes or regulated industries, such as financial services and healthcare. By including detailed model cards, organizations can establish the…

Just a heads up, if you buy something through our links, we may get a small share of the sale. It’s one of the ways we keep the lights on here. Click here for more. Gemini now powers a new Google Home tool, “Help Me Create,” simplifying home automation. Instead of navigating complex menus, you can set up routines by describing them in plain language.  For instance, when you say, “Turn on the Christmas lights outside, play my Holiday tunes playlist, and turn on the Christmas tree lights every night at sunset,” Gemini will set up the sequence automatically. This…

Snowflake’s Internal Marketplace enables enterprises to easily discover and share data, apps, and now fine-tuned LLMs across teams and business unitsThe Snowflake Native App Framework Integration with Snowpark Container Services accelerates developers’ time-to-value for delivering sophisticated AI-powered appsEnterprises can now develop, distribute, and monetize AI models to third-parties on Snowflake Marketplace with Secure Model Sharing Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at its annual developer conference, BUILD 2024, new innovations that make it easy and secure for teams to find, evaluate, and share data, AI models, and apps internally, and with external partners and customers. Through Snowflake’s leading cross-cloud collaboration capabilities, users can now accelerate…

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. The results are similar to fine-tuning LLMs without the complexities of fine-tuning models. We used a method called Generative Tabular Learning (GTL) based on the whitepaper From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models and demonstrate the advantages of GTL using fully managed JupyterLab notebooks in Amazon SageMaker notebooks to interact with Meta…

Iceotope announced the launch of KUL AI - AI-Tech Park This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. ACCEPT Privacy PolicyPrivacy & Cookies Policy Source link lol

This post is co-written with Etzik Bega from Agmatix. Agmatix is an Agtech company pioneering data-driven solutions for the agriculture industry that harnesses advanced AI technologies, including generative AI, to expedite R&D processes, enhance crop yields, and advance sustainable agriculture. Focused on addressing the challenge of agricultural data standardization, Agmatix has developed proprietary patented technology to harmonize and standardize data, facilitating informed decision-making in agriculture. Its suite of data-driven tools enables the management of agronomic field trials, the creation of digital crop nutrient prescriptions, and the promotion of sustainable agricultural practices. Widely embraced by agronomists, scientists, and R&D teams in…