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March 31, 2025 — Preferred Computational Chemistry Inc. (PFCC) announces that it will team up with ENEOS Corp. to enable AI-driven formulation optimization of chemicals and materials using NVIDIA ALCHEMI software. The collaboration was announced at NVIDIA GTC.
Building a RAG (Retrieval-Augmented Generation) application isnt just about plugging in a few toolsits about choosing the right stack that makes retrieval and generation not just possible but efficient and scalable. Lets say youre working on something like Smart Chat with PDFan AI app that lets users interact with PDFs conversationally. Its not as simple […] The post A Comprehensive Guide to RAG Developer Stack appeared first on Analytics Vidhya.
WALTHAM, Mass., April 3, 2025 Metadata-driven unstructured data management Starfish Storage today announced it has won the Data Solution of the Year for Education award in the 6thannual Data Breakthrough Awards program conducted byData Breakthrough, a market intelligence organization that recognizes companies, technologies and products in the data technology market today.
Fine-tuning large language models is no small featit demands high-performance GPUs, vast computational resources, and often, a wallet-draining budget. But what if you could get the same powerful infrastructure for a fraction of the cost? Thats where affordable cloud platforms come in. Instead of paying premium rates on AWS, Google Cloud, or Azure, smart AI […] The post 5 Affordable Cloud Platforms for Fine-tuning LLMs appeared first on Analytics Vidhya.
Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. But with the right AI implementation, these inefficiencies become opportunities for transformation. So how do you identify where to start and how to succeed? Learn how to develop a clear, practical roadmap for leveraging AI to streamline processes, automate knowledge work, and unlock real operational gains.
Large Language Models (LLMs) have transformed natural language processing, but face significant challenges in widespread deployment due to their high runtime cost. In this paper, we introduce SeedLM, a novel post-training compression method that uses seeds of a pseudo-random generator to encode and compress model weights. Specifically, for each block of weights, we find a seed that is fed into a Linear Feedback Shift Register (LFSR) during inference to efficiently generate a random matrix.
As AI agents take on more complex tasks, simply building them isnt enough; managing their performance, reliability, and efficiency is just as crucial. Thats where Agent Ops comes in. It helps organizations monitor, optimize, and scale AI agents, ensuring they work seamlessly and adapt to real-world challenges. From AI tools for Agent Ops to agent […] The post Top 10 Tools for Agent Ops appeared first on Analytics Vidhya.
You are what you buyor at least, thats what your language model thinks. In a recently published study , researchers set out to investigate a simple but loaded question: can large language models guess your gender based on your online shopping history? And if so, do they do it with a side of sexist stereotypes? The answer, in short: yes, and very much yes.
You are what you buyor at least, thats what your language model thinks. In a recently published study , researchers set out to investigate a simple but loaded question: can large language models guess your gender based on your online shopping history? And if so, do they do it with a side of sexist stereotypes? The answer, in short: yes, and very much yes.
Evaluating large language models (LLMs) is essential. You need to understand how well they perform and ensure they meet your standards. The Hugging Face Evaluate library offers a helpful set of tools for this task. This guide shows you how to use the Evaluate library to assess LLMs with practical code examples. Understanding the Hugging […] The post How to Evaluate LLMs Using Hugging Face Evaluate appeared first on Analytics Vidhya.
A risk prediction score that uses machine learning and a patient’s genetic information may identify autoimmune conditions up to 1,000% more accurately than current models, according to findings published in Nature Communications.
OpenAI’s GPT-4.5 outperformed humans in a recent Turing test from UC San Diego, showing how easily people can mistake AI for real conversation by engaging in side-by-side chats. The Turing test has long measured whether a machine can pass as human through text-based interaction. In this updated version, nearly 300 participants from UC San Diegos Language and Cognition Lab each chatted with a human and an AI before deciding which was which.
Clustering is a widely applied method in many domains like customer and image segmentation, image recognition, bioinformatics, and anomaly detection, all to group data into clusters in terms of similarity.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Google is shaking up its AI leadership, with Josh Woodward replacing Sissie Hsaio as the head of the Gemini app, according to Semafor. The move signals a strategic shift as Google gears up for what it calls the “next evolution” of its AI chatbot. Sissie Hsaio, who spearheaded the launch of Google’s Gemini AI chatbot (formerly Bard ), is stepping down after nearly two decades with the company.
The hype around Ghibli-style AI-generated art has exploded with the introduction of GPT-4os image generation capabilities. Social media platforms are flooded with dreamy, nostalgic visuals reminiscent of Studio Ghibli films. However, the massive demand has overwhelmed OpenAIs servers, leading to long wait times – even for paid users. But dont worry!
Siemens is dropping $5.1 billion to acquire Dotmatics, a Boston-based Life Sciences R&D software provider, from Insight Partners. The deal, announced April 2, 2025, aims to bolster Siemens’ AI-powered Product Lifecycle Management (PLM) portfolio and expand its reach into the life sciences sector. According to Siemens AG President and CEO Roland Busch, acquiring Dotmatics strategically strengthens Siemens’ position in Life Sciences, creating an AI-powered PLM software portfolio as
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
Inspecting wind turbines, power lines, 5G towers, and pipelines is a tough job. Its often dangerous, time-consuming, and prone to human error. Thats why we at Amazon Web Services (AWS) are working on AI Workforcea system that uses drones and AI to make these inspections safer, faster, and more accurate. This post is the first in a three-part series exploring AI Workforce, the AWS AI-powered drone inspection system.
Author– Hakob Astabatsyan, Co-Founder & CEO of Synthflow AI agents bring a new world of possibilities for companies to provide seamless customer support 24/7, empower their employees, and drive business growth. The market size of AI agents is expected to grow from $5.1 billion in 2024 to an astonishing $47.1 billion by 2030. Meaning a Compound Annual Growth Rate (CAGR) of 44.8% over the next six years.
Every year, AWS Sales personnel draft in-depth, forward looking strategy documents for established AWS customers. These documents help the AWS Sales team to align with our customer growth strategy and to collaborate with the entire sales team on long-term growth ideas for AWS customers. These documents are internally called account plans (APs). In 2024, this activity took an account manager (AM) up to 40 hours per customer.
t-SNE (t-distributed stochastic neighbor embedding) has become an essential tool in the realm of data analytics, standing out for its ability to unravel the complexities inherent in high-dimensional data. Researchers, data scientists, and machine learning practitioners alike have embraced t-SNE for its effectiveness in transforming extensive datasets into visual representations, enabling a clearer understanding of relationships, clusters, and patterns within the data.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
As you might expect, there is a big income difference between those with college degrees and those with none. But there’s been a shift lately. For Bloomberg Businessweek, Dorothy Gambrell and Marie Patino show the breakdowns by age, generation, and race. In 2023, the last year for which data is available, 25- to 34-year-olds with a bachelors degree earned exactly 200%or twice as muchas people from the same cohort without one did.
Micro-models have emerged as powerful tools within the field of predictive analytics, allowing analysts to delve deeply into specific data segments of larger systems. With the ability to provide precise insights, these models serve unique functions across various disciplines, enhancing decision-making processes and helping organizations adapt to ever-changing environments.
Random initialization is an essential technique in deep learning, particularly critical for ensuring that neural networks can learn effectively. Choosing the initial weights thoughtfully affects a model’s ability to break symmetry and explore diverse patterns in data. As networks grow in complexity, understanding the nuances of weight initialization becomes even more vital for achieving superior performance.
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Anthropic just dropped Claude for Education, a tailored version of its AI assistant aimed at higher education. Universities can now integrate AI into their teaching, research, and administrative processes, giving students and educators a hands-on role in shaping AIs impact on academia. The launch includes several key components: Learning mode: A Claude experience focused on guiding students’ reasoning rather than providing direct answers, fostering critical thinking.
Pascal VOC is a cornerstone in the realm of machine learning and computer vision. It serves as a vital resource for researchers and developers focused on object detection and image segmentation tasks. While many datasets exist, Pascal VOCs standardized format, rich annotations, and historical significance make it a preferred choice for training and benchmarking models.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Artificial intelligence is projected to reach $4.8 trillion in market value by 2033, but the technology's benefits remain highly concentrated, UNCTAD says.
Adobe’s Premiere Pro 25.2 has arrived, armed with AI to extend video footage, enhance search, and translate captions automatically. The headliner is Generative Extend, an AI-powered tool that stretches video clips by up to two seconds and is currently free for a limited time. Premiere Pro 25.2 introduces Generative Extend, a tool powered by the Firefly Gen AI video model, that extends video clips up to two seconds to fix unexpected movements or add transition options.
Generative AI has vastly expanded the toolkit available to hackers and other bad actors. Its now possible to do everything from deepfaking a CEO to creating fake receipts. OpenAI, the biggest generative AI startup of them all, knows this better than anyone.
When Harshit Sharan began his career, he wasnt satisfied with simply working on software systemshe envisioned building scalable services that could power groundbreaking solutions for millions of users. His work today reflects this vision. He spearheads innovations in distributed systems, big-data pipelines, and social media advertising technologies, shaping the future of marketing globally.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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