Analytics Vidhya

JUNE 2, 2024

Introduction In the previous article, we experimented with Cohere’s Command-R model and Rerank model to generate responses and rerank doc sources. We have implemented a simple RAG pipeline using them to generate responses to user’s questions on ingested documents. However, what we have implemented is very simple and unsuitable for the general user, as it […] The post Building RAG Application using Cohere Command-R and Rerank – Part 2 appeared first on Analytics Vidhya.

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Aiiot Talk

JUNE 2, 2024

AI is a fresh threat to recent grads and job applicants, as many fear they have wasted years of study for technology to replace them. What should companies do to acquire valuable talent in the age of advancing AI? Understanding the Modern Workforce’s Feelings About AI Those entering the workforce with AI have mixed feelings about its presence, depending on demographics.

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Robotics Automation AI AI 130

Analytics Vidhya

JUNE 2, 2024

In our latest episode of Leading with Data, we had the privilege of speaking with Ravit Dotan, a renowned expert in AI ethics. Ravit Dotan’s diverse background, including a PhD in philosophy from UC Berkeley and her leadership in AI ethics at Bria.ai, uniquely positions her to offer profound insights into responsible AI practices. Throughout […] The post Exploring Responsible AI: Insights, Frameworks & Innovations with Ravit Dotan appeared first on Analytics Vidhya.

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Responsible AI AI AI 285

NVIDIA

JUNE 2, 2024

“Generative AI is reshaping industries and opening new opportunities for innovation and growth,” NVIDIA founder and CEO Jensen Huang said in an address ahead of this week’s COMPUTEX technology conference in Taipei. “Today, we’re at the cusp of a major shift in computing,” Huang told the audience, clad in his trademark black leather jacket. “The intersection of AI and accelerated computing is set to redefine the future.

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Robotics Explainability Generative AI Large Language Models 142

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Marktechpost

JUNE 2, 2024

Large Language Models (LLMs) have made significant advancements in natural language processing but face challenges due to memory and computational demands. Traditional quantization techniques reduce model size by decreasing the bit-width of model weights, which helps mitigate these issues but often leads to performance degradation. This problem gets worse when LLMs are used in different situations with limited resources.

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Large Language Models LLM Natural Language Processing AI Research 111

databricks

JUNE 2, 2024

We are excited to announce a new data type called variant for semi-structured data. Variant provides an order of magnitude performance improvements compared.

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TheSequence

JUNE 2, 2024

Created Using DALL-E Next Week in The Sequence: Mistral Codestral is the New Model for Code Generation Edge 401: We dive into reflection and refimenent planning for agents. Review the famous Reflextion paper and the AgentVerse framework for multi-agent task planning. Edge 402: We review UC Berkeley’s research about models that can understand one hour long videos.

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Marktechpost

JUNE 2, 2024

Large language models (LLMs) have shown their potential in many natural language processing (NLP) tasks, like summarization and question answering using zero-shot and few-shot prompting approaches. However, prompting alone is not enough to make LLMs work as agents who can navigate environments to solve complex and multi-step. Fine-tuning LLMs for these tasks is also impractical due to the unavailability of training data.

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Natural Language Processing LLM Large Language Models Robotics 101

NVIDIA

JUNE 2, 2024

Foxconn operates more than 170 factories around the world — the latest one a virtual plant pushing the state of the art in industrial automation. It’s the digital twin of a new factory in Guadalajara, hub of Mexico’s electronics industry. Foxconn’s engineers are defining processes and training robots in this virtual environment, so the physical plant can produce at high efficiency the next engine of accelerated computing, NVIDIA Blackwell HGX systems.

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Robotics Automation AI AI 110

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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?

Business Intelligence

Bugra Akyildiz

JUNE 2, 2024

Articles Hazy Research from Stanford wrote an article on ThunderKittens which is an embedded DSL for GPUs, and post specifically talks about how TunderKittens applies in H100 GPUs. Article is talking about tensor operations used in machine learning workloads and explains how ThunderKittens is adding value on top of the existing solutions like Triton.

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LLM Python Machine Learning Natural Language Processing 59

NVIDIA

JUNE 2, 2024

Deploying generative AI in the enterprise is about to get easier than ever. NVIDIA NIM , a set of generative AI inference microservices, works with KServe , open-source software that automates putting AI models to work at the scale of a cloud computing application. The combination ensures generative AI can be deployed like any other large enterprise application.

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Extreme Tech

JUNE 2, 2024

A total of eight new CPUs are launching soon for desktop, AI PC laptops, and even the previous AM4 platform.

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AI AI 78

NVIDIA

JUNE 2, 2024

Fueled by generative AI , enterprises globally are creating “AI factories,” where data comes in and intelligence comes out. Critical to this movement are validated systems and reference architectures that reduce the risk and time involved in deploying specialized infrastructure that can support complex, computationally intensive generative AI workloads.

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Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Extreme Tech

JUNE 2, 2024

Ever heard of 'survival of the fittest'? This is how it happens.

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NVIDIA

JUNE 2, 2024

Meta Llama 3, Meta’s openly available state-of-the-art large language model — trained and optimized using NVIDIA accelerated computing — is dramatically boosting healthcare and life sciences workflows, helping deliver applications that aim to improve patients’ lives. Now available as a downloadable NVIDIA NIM inference microservice at ai.nvidia.com , Llama 3 is equipping healthcare developers, researchers and companies to innovate responsibly across a wide variety of applications.

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Robot Writers AI

JUNE 2, 2024

It’s official: One of the world’s richest and mightiest tech companies has turned to ChatGPT to bring AI to its smartphone. A major coup for ChatGPT’s maker OpenAI, the deal will bring ChatGPT to millions of iPhone users who are running — or will be running — iOS 18 software on their devices. The Times of India also reports that Apple may feature ChatGPT competitors on its iPhone as well — such as Google Gemini.

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NVIDIA

JUNE 2, 2024

Taiwan’s leading medical centers — the National Health Research Institute (NHRI) and Chang Gung Memorial Hospital (CGMH) — are set to advance biomedical research and healthcare for patients. The centers are embracing accelerated computing and generative AI for everything from imaging to enhancing patient care, from streamlining clinical workflows to drug discovery research.

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Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

Business Intelligence

Ehud Reiter

JUNE 2, 2024

I occasionally write blogs about what my students are doing, and thought I’d write about Barkavi Sundararajan, who is exploring using LLMs for data-to-text, and in particular trying to reduce hallucinations and other errors. Other people have looked at impact of models and prompts, Barkavi is looking at whether LLMs do a better job at data-to-text when the input data (which is being summarised) is well structured.

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