Sun.Jun 02, 2024

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Building RAG Application using Cohere Command-R and Rerank – Part 2

Analytics Vidhya

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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‘Accelerate Everything,’ NVIDIA CEO Says Ahead of COMPUTEX

NVIDIA

“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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Exploring Responsible AI: Insights, Frameworks & Innovations with Ravit Dotan

Analytics Vidhya

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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How Can Companies Retain Grads in the Age of AI?

Aiiot Talk

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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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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What Is Natural Selection?

Extreme Tech

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

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LLM-QFA Framework: A Once-for-All Quantization-Aware Training Approach to Reduce the Training Cost of Deploying Large Language Models (LLMs) Across Diverse Scenarios

Marktechpost

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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Power Tool: Generative AI Tracks Typhoons, Tames Energy Use

NVIDIA

Weather forecasters in Taiwan had their hair blown back when they saw a typhoon up close, created on a computer that slashed the time and energy needed for the job. It’s a reaction that users in many fields are feeling as generative AI shows them how new levels of performance contribute to reductions in total cost of ownership. Inside the AI of the Storm Tracking a typhoon provided a great test case of generative AI’s prowess.

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Mistral Codestral is the Newest AI Model in the Code Generation Race

TheSequence

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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Foxconn Trains Robots, Streamlines Assembly With NVIDIA AI and Omniverse

NVIDIA

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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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security risks before they become problems.

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This AI Paper Explores the Extent to which LLMs can Self-Improve their Performance as Agents in Long-Horizon Tasks in a Complex Environment Using the WebArena Benchmark

Marktechpost

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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KServe Providers Dish Up NIMble Inference in Clouds and Data Centers

NVIDIA

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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AMD Announces Zen 5 Desktop and Ryzen AI Mobile Hybrid CPUs at Computex

Extreme Tech

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

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Putting More Tech to the Test, NVIDIA Certifies New Categories of Gen AI-Ready Systems

NVIDIA

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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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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ThunderKittens to make the GPUS go brr

Bugra Akyildiz

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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Gen AI Healthcare Accelerated: Dozens of Companies Adopt Meta Llama 3 NIM

NVIDIA

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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Apple Goes All In on ChatGPT

Robot Writers AI

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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Leading Medical Centers in Taiwan Adopt NVIDIA Accelerated Computing to Advance Biomedical Research

NVIDIA

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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Trial Prep: What Attorneys Really Want (And How to Deliver It)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

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Well structured input data helps LLMs

Ehud Reiter

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.