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Has AI forever changed the way we work? That depends on which “AI” you’re talking about. Artificial Intelligence describes a wide set of computing technologies that perform various functions. It’s not uncommon to have multiple types of AI in use within the same workplace – or even within the same software program – to optimize task automation and improve productivity.
In this tutorial, you will learn how to construct iterate update and train a CNN model using JAX, Flax, and Optax on the MNIST dataset. This tutorial starts from how to set up the environment and preprocess the data to how to define the CNN structure and the final step is to test the model. […] The post Image Classification with JAX, Flax, and Optax : A Step-by-Step Guide appeared first on Analytics Vidhya.
I went from occasional AI user to power user in months. How? My mindset for how to approach AI evolved. Now, I reach for AI every day. I once read that professionals aren’t going to be replaced by AI, rather, they will be replaced by other professionals who use AI. This idea that someone who leverages AI will perform better at their work is now supported by research.
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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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
What if you received a raw transcript that looked like this? if you picture a sound meter with a needle that bounces up and down every time there's a sound the tone is supposed to put the needle perfectly at this one spot on the meter with a black numbers end and the red part of the meter begins there's like a zero at that spot marking this is where you want to be and the tone is just supposed to rest there rock solid but this particular day with this particular recording we put it on
The field of multi-agent systems (MAS) in artificial intelligence is rapidly advancing with new frameworks enhancing collaborative and automated decision-making. Two new entries in this space are OpenAI’s Swarm and Microsoft’s Magentic-One, both of which offer different approaches to the development and deployment of multi-agent systems.
The field of multi-agent systems (MAS) in artificial intelligence is rapidly advancing with new frameworks enhancing collaborative and automated decision-making. Two new entries in this space are OpenAI’s Swarm and Microsoft’s Magentic-One, both of which offer different approaches to the development and deployment of multi-agent systems.
NVIDIA today at SC24 announced two new NVIDIA NIM microservices that can accelerate climate change modeling simulation results by 500x in NVIDIA Earth-2. Earth-2 is a digital twin platform for simulating and visualizing weather and climate conditions. The new NIM microservices offer climate technology application providers advanced generative AI-driven capabilities to assist in forecasting extreme weather events.
In an era where artificial intelligence (AI) is tasked with navigating and synthesizing vast amounts of information, the efficiency and accuracy of retrieval methods are paramount. Anthropic, a leading AI research company, has introduced a groundbreaking approach called Contextual Retrieval-Augmented Generation (RAG). This method marries traditional retrieval techniques with innovative tweaks, significantly enhancing retrieval accuracy and relevance. […] The post Magic Behind Anthropic’s C
Last Updated on November 18, 2024 by Editorial Team Author(s): Barhoumi Mosbeh Originally published on Towards AI. source On November 11, Alibaba announced its most advanced coding model to date: Qwen 2.5-Coder-32B-Instruct. But that’s not all, it’s actually part of a whole family of coding models! In addition to the 32B model, there are versions with 0.5B, 1.5B, 3B, 7B, and 14B parameters.
BART is truly one of a kind in the ever-changing realm of NLP, as a strong model that has drastically changed the way we think of text generation and understanding. BART, which is short for Bidirectional and Autoregressive Transformer, takes the best aspects of both sides of the transformer architectures into one single view. In […] The post Guide to BART (Bidirectional & Autoregressive Transformer) appeared first on Analytics Vidhya.
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.
This post is co-authored with Nishant Gupta from InsuranceDekho. The insurance industry is complex and overwhelming, with numerous options that can be hard for consumers to understand. This complexity hinders customers from making informed decisions. As a result, customers face challenges in selecting the right insurance coverage, while insurance aggregators and agents struggle to provide clear and accurate information.
Over the past few weeks, users on X have been submitting X-rays, MRIs, CT scans and other medical images to Grok, the platform’s artificial intelligence chatbot, asking for diagnoses. The reason: Elon Musk, X’s owner, suggested it.
A chatbot is a computer program that can talk to people. It can answer questions and help users anytime. You don’t need to know a lot about coding to make one. There are free tools that make it simple and fun. In this article, we will use a tool called ChatterBot.
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
This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) Workshop at NeurIPS 2024. Tensor parallelism provides an effective way to increase server large language model (LLM) inference efficiency despite adding an additional communication cost. However, as server LLMs continue to scale in size, they will need to be distributed across more devices, magnifying the communication cost.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
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Nvidia announced its Nvidia Omniverse Blueprint, a technology that enables industry software developers to build digital twins with realistic real-time physics.
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.
Summary: Data Analyst certifications are essential for career advancement. They validate skills and improve employability. They help professionals gain expertise in key tools and techniques, making them more competitive in the job market. Choosing the right certification enhances career growth and opens doors to better opportunities in Data Analytics.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
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Machine learning (ML) has revolutionized wireless communication systems, enhancing applications like modulation recognition, resource allocation, and signal detection. However, the growing reliance on ML models has increased the risk of adversarial attacks, which threaten the integrity and reliability of these systems by exploiting model vulnerabilities to manipulate predictions and performance.
The company tackled inferencing the Llama-3.1 405B foundation model and just crushed it. And for the crowds at SC24 this week in Atlanta, the company also announced it is 700 times faster than Frontier, the worlds fastest supercomputer, on a molecular dynamics simulation.
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