This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
The advent of more powerful processors in the early 2000s started the computing revolution that led to what we now call the cloud. With single hardware instances able to run dozens, if not hundreds of virtual machines concurrently, businesses could offer their users multiple services and applications that would otherwise have been financially impractical, if not impossible.
Artificial Intelligence (AI) is advancing faster than ever, and now, the idea of Artificial Super Intelligence (ASI ) is moving from science fiction into a possible future. ASI is a form of intelligence that outperforms human abilities in almost every field, from scientific discovery to social interactions. Unlike today's AI systems, which are designed for specific tasks, ASI would be capable of handling any intellectual task that humans can doand even surpass them in certain areas.
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.
Small manufacturers are increasingly using AI in manufacturing to streamline operations and remain competitive. AI can significantly improve manufacturing functions like production scheduling, maintenance, supply chain planning, and quality control. Below are some of the best AI-driven tools (a mix of cloud-based and on-premise solutions) that cater to small-sized manufacturers, highlighting their features, benefits, and how they help improve efficiency. 1.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Tech giants are beginning an unprecedented $320 billion AI infrastructure spending spree in 2025, brushing aside concerns about more efficient AI models from challengers like DeepSeek. The massive investment push from Amazon, Microsoft, Google, and Meta signals the big players’ unwavering conviction that AI’s future demands bold infrastructure bets, despite (or perhaps because of) emerging efficiency breakthroughs.
Raphal de Thoury is a deep tech entrepreneur with 20+ years of experience in innovation, startups, and industrial R&D. As CEO of Pasqal Canada, he leads the companys North American expansion, fostering quantum computing advancements in energy, finance, mobility, and materials. Before joining Pasqal, he founded and exited Particlever, a nanotech company, and has held leadership roles in innovation strategy and product industrialization.
Raphal de Thoury is a deep tech entrepreneur with 20+ years of experience in innovation, startups, and industrial R&D. As CEO of Pasqal Canada, he leads the companys North American expansion, fostering quantum computing advancements in energy, finance, mobility, and materials. Before joining Pasqal, he founded and exited Particlever, a nanotech company, and has held leadership roles in innovation strategy and product industrialization.
AI-powered reasoning models are taking the world by storm in 2025! With the launch of DeepSeek-R1 and o3-mini, we have seen unprecedented levels of logical reasoning capabilities in AI chatbots. In this article, we will access these models via their APIs and evaluate their logical reasoning skills to find out if o3-mini can replace DeepSeek-R1. […] The post Can o3-mini Replace DeepSeek-R1 for Logical Reasoning?
Era , the AI-driven financial intelligence platform redefining personal wealth management, has secured $6.2 million in seed funding. The round was co-led by MaC Venture Capital , Third Kind Venture Capital , and Protagonist , bringing Eras total funding to $9.1 million with additional participation from Clocktower Ventures , K5 Ventures , and Northzone.
Language models are essential for understanding and producing human language by machines in the quickly developing field of artificial intelligence. Among these models, two different methods of language processing are represented by Base LLM and Instruction-Tuned LLM. This article examines the main distinctions between these two categories of models, as well as their training processes, […] The post Base LLM vs Instruction-Tuned LLM appeared first on Analytics Vidhya.
While business leaders and consumers have growing concerns over new security threats empowered by AI, cybersecurity professionals are eager to get their hands on AI-enabled tools to defend against bad actors. This evolving dynamic around AI is requiring both business leaders and IT organizations to think critically about new considerations regarding security and risk.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
ByteDance, the company behind TikTok, continues to make waves in the AI community, not just for its social media platform but also for its latest research in video generation. After impressing the tech world with their OmniHuman paper, they’ve now released another video generation paper called Goku. Goku AI ia a family of AI models […] The post Goku AI: Is This the Future of AI-Generated Video?
Just as there are widely understood empirical laws of nature for example, what goes up must come down , or every action has an equal and opposite reaction the field of AI was long defined by a single idea: that more compute, more training data and more parameters makes a better AI model. However, AI has since grown to need three distinct laws that describe how applying compute resources in different ways impacts model performance.
Artificial Intelligence (AI) is no longer a futuristic concept – its actively reshaping industries and job roles worldwide. A study by Anthropic, analyzing millions of conversations on Claude.ai, reveals how AI is being integrated into the workforce. While AI touches many industries, only about 4% of occupations currently use it for more than 75% of […] The post 5 Jobs You Cant Imagine Without AI Now (Anthropic Reports) appeared first on Analytics Vidhya.
The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. The introduction of an LLM-as-a-judge framework represents a significant step forward in simplifying and streamlining the model evaluation process.
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
Author(s): Vita Haas Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine walking into a library the size of a small country, and instead of a single librarian, you have an entire team, each with a very particular specialty. One knows everything about astrophysics, another is a whiz at Renaissance literature, and a third can tell you, in excruciating detail, how to assemble an IKEA bookshelf without losing your sanity.
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.
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.
Generative AI has emerged as a transformative force, captivating industries with its potential to create, innovate, and solve complex problems. However, the journey from a proof of concept to a production-ready application comes with challenges and opportunities. Moving from proof of concept to production is about creating scalable, reliable, and impactful solutions that can drive business value and user satisfaction.
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
Theres a growing demand from customers to incorporate generative AI into their businesses. Many use cases involve using pre-trained large language models (LLMs) through approaches like Retrieval Augmented Generation (RAG). However, for advanced, domain-specific tasks or those requiring specific formats, model customization techniques such as fine-tuning are sometimes necessary.
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.
Author(s): Aleti Adarsh Originally published on Towards AI. Have You Ever Wondered Why Some AI/ML Freelancers Succeed While Others Struggle? This member-only story is on us. Upgrade to access all of Medium. Lets be real getting into AI/ML freelancing sounds exciting, right? The idea of working on cutting-edge projects, making money while sipping coffee at your favorite cafe, and having the freedom to choose what you work on?
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Created Using Midjourney Embeddings are a critical component of any generative AI applications. The market has been floated with many vector databases and other platforms. There is an entire argument about whether that market can survive as a standalone ecosystem but that’s a debate for another day. Simplicity and developer friendliness and two of the main characteristics that I look for in embedding frameworks when building generative AI apps.
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.
John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks. As Azure Fabric is designed to support large-scale data processing and analytics, John Snow Labs enhances it by providing a robust, high-performance LLM & NLP toolkit built on Apache Spark.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
We organize all of the trending information in your field so you don't have to. Join 15,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content