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It's rarely a dull week in the world of tech, but the last seven days have been eventful to say the least surprises, controversies and Studio Ghibli-themed copyright debates, it's had the lot. Away from ChatGPT's new viral image generator, we had an action-packed Nintendo Direct event, Apple's announcement of its WWDC 2025 event, plus some quality time with Canon's new PowerShot V1 camera.
In the fast-moving world of artificial intelligence, its easy to feel like the goalposts are constantly shifting. Just as we grow familiar with one generation of large language models (LLMs), a new wave of innovation arrives. The latest? Reasoning modelstools designed not just to generate language, but to think through problems with greater depth and precision.
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.
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.
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.
Bill Gates recently appeared on The Tonight Show with Jimmy Fallon. They talked about his new book Source Code, his childhood, and 50 years of Microsoft. But the most powerful part of the conversation was about the future, especially the rise of AI and what it means for our jobs. Gates shared his thoughts in […] The post 5 Jobs AI Can’t Replace According to Bill Gates appeared first on Analytics Vidhya.
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.
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.
After The New York Times sued OpenAI in December 2023alleging that ChatGPT outputs violate copyrights by regurgitating news articlesthe ChatGPT maker tried and failed to argue that the claims were time-barred. According to OpenAI, the NYT should have known that ChatGPT was being trained on its articles and raised its lawsuit in 2020, partly because of the newspaper's own reporting.
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.
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.
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
Imagine you have a single photograph of a person and wish to see them come alive in a video, moving and expressing emotions naturally. ByteDance’s latest AI-powered model, DreamActor-M1, makes this possible by transforming static images into dynamic, realistic animations. This article explores how DreamActor-M1 works, its technical design, and the important ethical considerations that […] The post ByteDance’s DreamActor-M1 Turns Photos into Videos appeared first on Analytics Vi
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.
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.
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?
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.
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.
AI compute company Cerebras Systems said it has been awarded a new contract from the Defense Advanced Research Projects Agency (DARPA) to develop a system combining their wafer scale technology with wafer scale co-packaged optics of Ottawa-based Ranovus to deliver.
Organizations deploying generative AI applications need robust ways to evaluate their performance and reliability. When we launched LLM-as-a-judge (LLMaJ) and Retrieval Augmented Generation (RAG) evaluation capabilities in public preview at AWS re:Invent 2024 , customers used them to assess their foundation models (FMs) and generative AI applications, but asked for more flexibility beyond Amazon Bedrock models and knowledge bases.
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!
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.
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.
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.
Microsoft CEO Satya Nadella opens the Copilot and 50th anniversary event Friday. (GeekWire Photo / Kevin Lisota) REDMOND, Wash. Microsoft on Friday unveiled a series of updates to its Copilot AI assistant for consumers, including a new personalized memory feature designed to recall details from a users life across conversations. Microsoft says the new memory feature allows Copilot to retain information such as a users favorite foods, entertainment preferences and personal milestones, enabling m
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.
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.
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.
Amazon is testing “Buy for Me,” a new AI shopping agent that finds products on third-party sites when theyre not available on Amazon itself. The feature, announced in a blog post , allows users to request and purchase items without leaving the Amazon Shopping app. This move puts Amazon in competition with OpenAI, Google, and Perplexity, all of which have launched similar AI shopping agents.
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.
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.
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
What if I told you that AI can now outperform humans in some of the most complex video games? AI now masters Minecraft too. It is a game where players explore, mine, build, and craft with the goal of finding rare diamonds. Until recently, training AI for Minecraft needed lots of human data and custom […] The post Google’s DeepMind Masters Minecraft Without Human Data appeared first on Analytics Vidhya.
In its first cybersecurity investment, OpenAI co-led a $43 million Series A funding round for Adaptive Security, a startup specializing in defending against AI-driven deepfake attacks. With generative AI enhancing the capabilities of hackers, including the ability to create convincing deepfakes and counterfeit documents, OpenAI is directly addressing the rising threat by backing AI-driven defense mechanisms.
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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