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We’re already into the second month of 2025, and every passing day brings us closer to Artificial General Intelligence (AGI)AI that can tackle complex problems across multiple sectors at a human level. Take DeepSeek, for instance. Until recently, could you have imagined an organization before 2024 that could build a cutting-edge Generative AI model for […] The post A Comprehensive Guide to Pre-training LLMs appeared first on Analytics Vidhya.
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
Shares of Intel rose 6% following the release of preliminary benchmarks for its new Arrow Lake-based Core Ultra 9 275HX processor, which demonstrated strong performance against competitors. Intel shares rise 6% on strong Arrow Lake processor benchmarks According to a review by Tom’s Hardware , the 275HX outperformed AMD’s Ryzen 9 7945HX3D by 7% in CPU Mark.
Large language models (LLMs) have evolved and permeated our lives so much and so quickly that many we have become dependent on them in all sorts of scenarios.
While government data remains in limbo, for Slate, Lizzie O’Leary highlights the sectors that rely on public resources (all of them): Government data is certainly not perfect, true. But the private sector relies heavily on government information. Economists Ellen Hughes-Cromwick and Julia Coronado wrote a 2019 paper published in the Journal of Economic Perspectives showing how a vast range of companies depend on U.S. government data to understand their customers and make decisions about ho
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While government data remains in limbo, for Slate, Lizzie O’Leary highlights the sectors that rely on public resources (all of them): Government data is certainly not perfect, true. But the private sector relies heavily on government information. Economists Ellen Hughes-Cromwick and Julia Coronado wrote a 2019 paper published in the Journal of Economic Perspectives showing how a vast range of companies depend on U.S. government data to understand their customers and make decisions about ho
Lingopal.ai has secured $14 million in Series A funding , led by DCM Ventures with participation from Scrum Ventures, Marquee Ventures, and angel investors. The investment will support global expansion and further development of its AI-driven speech-to-speech translation technology. Businesses seeking to communicate with international audiences often face high translation costs and limited accessibility to human translators.
This blog post is co-written with Moran beladev, Manos Stergiadis, and Ilya Gusev from Booking.com. Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. Trained on broad, generic datasets spanning a wide range of topics and domains, LLMs use their parametric knowledge to perform increasingly complex and versatile tasks across multiple business use cases.
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?
Big TechAmazon, Google, Meta, Microsofthave announced plans to invest roughly $320 billion in AI innovations this year, which marks a 28% spending increase over their combined AI spending in 2024.
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!
Although still under construction, the sea-floor KM3NeT detector spotted a neutrino 20 times more powerful than any previously detected. Although still under construction, the sea-floor KM3NeT detector spotted a neutrino 20 times more powerful than any previously detected.
Google will soon use machine learning to estimate the age of its users. In an update on Wednesday, Google said its testing a machine learning model in the US to help determine whether someone is under 18, allowing it to provide more age-appropriate experiences across its platforms.
he SYNC 25 conference was organized by a group of Syrian-Americans working in Silicon Valley; they hope to facilitate 25,000 new tech jobs in Syria by 2030.
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.
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?
Last Updated on February 12, 2025 by Editorial Team Author(s): RSD Studio.ai Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: Analytics Vidhya In our ongoing quest to unlock the brains of AI, weve built a foundation of understanding, from the neuron-inspired perceptron to the power of activation functions in creating non-linear models.
A new machine-learning model can predict protein localization to cellular compartments, generate proteins to localize to a desired compartment, and detect disease mutations that alter cellular compartments, with implications for understanding and remedying disease.
Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
The Chinese start-up used several technological tricks, including a method called mixture of experts, to significantly reduce the cost of building the technology. Last month, U.S.
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.
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