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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.
Scammers operate everywherejob recruitment sites, across social media, on dating apps and in your text messages. Arguably the most hurtful and damaging of these scams is romance scams, where the perpetrator spends weeks or months seducing a victim and earning their trust before conning them out of as much money as they can get. While people are getting better at spotting these scams, scammers are constantly advancing, too.
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
Dartmouth researchers conducted the first clinical trial of an AI-powered therapy chatbot and found that, on average, people with diagnosed mental disorders experienced clinically significant improvements in their symptoms over eight weeks, according to results published in& NEJM AI, a journal from the publishers of the New England Journal of Medicine.
Fluidstack, an AI cloud platform, announced it is deploying and managing exascale clusters across Iceland and Europe in collaboration with Borealis Data Center, Dell Technologies and NVIDIA. Our mission has.
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.
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.
We consider the problem of instance-optimal statistical estimation under the constraint of differential privacy where mechanisms must adapt to the difficulty of the input dataset. We prove a new instance specific lower bound using a new divergence and show it characterizes the local minimax optimal rates for private statistical estimation. We propose two new mechanisms that are universally instance-optimal for general estimation problems up to logarithmic factors.
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.
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.
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?
Recent advancements in reasoning models, such as OpenAI’s o1 and DeepSeek R1, have propelled LLMs to achieve impressive performance through techniques like Chain of Thought (CoT). However, the verbose nature of CoT leads to increased computational costs and latency. A novel paper published by Zoom Communications presents a new prompting technique called Chain of Draft […] The post Chain of Draft Prompting with Gemini and Groq appeared first on Analytics Vidhya.
This course, intended for undergraduates familiar with elementary calculus and linear algebra, introduces the extension of differential calculus to functions on more general vector spaces, such as functions that take as input a matrix and return a matrix inverse or factorization, derivatives of ODE solutions, and even stochastic derivatives of random functions.
Effective error analysis is critical for the successful development and deployment of CVML models. One approach to understanding model errors is to summarize the common characteristics of error samples. This can be particularly challenging in tasks that utilize unstructured, complex data such as images, where patterns are not always obvious. Another method is to analyze error distributions across pre-defined categories, which requires analysts to hypothesize about potential error causes in advan
Transformer is a deep learning architecture that is very popular in natural language processing (NLP) tasks. It is a type of neural network that is designed to process sequential data, such as text. In this article, we will explore the concept of attention and the transformer architecture.
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!
Today, MLCommons announced new results for its MLPerf Inference v5.0 benchmark suite, which delivers machine learning (ML) system performance benchmarking. The rorganization said the esults highlight that the AI community is focusing on generative AI.
Imagine an AI that can write poetry, draft legal documents, or summarize complex research papersbut how do we truly measure its effectiveness? As Large Language Models (LLMs) blur the lines between human and machine-generated content, the quest for reliable evaluation metrics has become more critical than ever. Enter ROUGE (Recall-Oriented Understudy for Gisting Evaluation), a […] The post ROUGE: Decoding the Quality of Machine-Generated Text appeared first on Analytics Vidhya.
This paper demonstrates an approach for learning highly semantic image representations without relying on hand-crafted data-augmentations. We introduce the Image-based Joint-Embedding Predictive Architecture (I-JEPA), a non-generative approach for self-supervised learning from images. The idea behind I-JEPA is simple: from a single context block, predict the representations of various target blocks in the same image.
Spoken language understanding research to date has generally carried a heavy text perspective. Most datasets are derived from text, which is then subsequently synthesized into speech, and most models typically rely on automatic transcriptions of speech. This is to the detriment of prosody--additional information carried by the speech signal beyond the phonetics of the words themselves and difficult to recover from text alone.
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.
E-commerce giants increasingly use artificial intelligence to power customer experiences, optimize pricing, and streamline logistics. However, an expert in the field says that scaling AI solutions to handle the massive volume of data and real-time demands of large platforms presents a complex set of architectural, data management, and ethical challenges.
Let's discover what small language models (SLMs) are, how they can be used in RAG systems and applications, and when to use them over their large language counterparts.
Can AI generate truly relevant answers at scale? How do we make sure it understands complex, multi-turn conversations? And how do we keep it from confidently spitting out incorrect facts? These are the kinds of challenges that modern AI systems face, especially those built using RAG. RAG combines the power of document retrieval with the […] The post Top 13 Advanced RAG Techniques for Your Next Project appeared first on Analytics Vidhya.
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.
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?
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.
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.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Happy April Fools Day to you! Heres a quick (8:42) review of recent news from the world of HPC-AI, including: AMD MI355X to debut with a 30,000-GPU Oracle cluster, in the face of U.S. trade policy, ASML to open repair hub in China, EuroHPC-JUs CINECA selects 140-qubit Pasqal system, rising star Torsten.
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.
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.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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