Tue.Oct 08, 2024

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Bridging code and conscience: UMD’s quest for ethical and inclusive AI

AI News

As artificial intelligence systems increasingly permeate critical decision-making processes in our everyday lives, the integration of ethical frameworks into AI development is becoming a research priority. At the University of Maryland (UMD), interdisciplinary teams tackle the complex interplay between normative reasoning, machine learning algorithms, and socio-technical systems.

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How to Measure the ROI of GenAI Investments?

Analytics Vidhya

Introduction Generative AI is experiencing an incredible boom, and it’s no longer just a tech-centric topic. It has caught the eye of top business leaders and is now a tool in the C-suite’s arsenal. As organizations deploy Generative AI in their workflows, it is crucial for them to evaluate if this technology is delivering the […] The post How to Measure the ROI of GenAI Investments?

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How AI is Amplifying Human Potential in Sales and Marketing

Unite.AI

Artificial intelligence (AI) is revolutionizing how professionals approach marketing and sales in every sector. By embracing AI, professionals in the field are enhancing efficiency, boosting outcomes and driving faster, more informed decisions. Sales and marketing’s AI evolution signifies not just a shift in tools, but an amplification of human potential.

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Essential Practices for Building Robust LLM Pipelines

Analytics Vidhya

Introduction Large Language Model Operations (LLMOps) is an extension of MLOps, tailored specifically to the unique challenges of managing large-scale language models like GPT, PaLM, and BERT. While MLOps focuses on the lifecycle of machine learning models in general, LLM Ops addresses the complexities introduced by models with billions of parameters, such as handling resource-intensive […] The post Essential Practices for Building Robust LLM Pipelines appeared first on Analytics Vidhya.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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Joshua Xu, Co-Founder & CEO at HeyGen – Interview Series

Unite.AI

Joshua Xu is the Co-Founder and CEO at HeyGen a platform that enables users to effortlessly produce studio-quality videos with AI-generated avatars and voices. You co-founded HeyGen in 2020 with the vision of reinventing visual storytelling through AI. Can you share what inspired you to start HeyGen and your initial vision for this mission? Prior to founding HeyGen, I worked on Snap’s advertising team, where I spearheaded the integration of AI into the Snapchat platform.

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NVIDIA AI Summit Highlights Game-Changing Energy Efficiency and AI-Driven Innovation

NVIDIA

Accelerated computing is sustainable computing, Bob Pette, NVIDIA’s vice president and general manager of enterprise platforms, explained in a keynote at the NVIDIA AI Summit on Tuesday in Washington, D.C. NVIDIA’s accelerated computing isn’t just efficient. It’s critical to the next wave of industrial, scientific and healthcare transformations. “We are in the dawn of a new industrial revolution,” Pette told an audience of policymakers, press, developers and entrepreneurs gathered for the event​

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Top 5 AI Agent Projects to Try

Analytics Vidhya

Introduction AI agents are the driving force behind many modern applications, offering autonomy, intelligence, and adaptability. From automating processes to making decisions in real-time, these agents play an essential role across industries. In this article, we’ll explore five exciting AI agent projects. Each project will challenge and expand your skills.

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The Long Context RAG Capabilities of OpenAI o1 and Google Gemini

databricks

Retrieval Augmented Generation (RAG) is the top use case for Databricks customers who want to customize AI workflows on their own data. The.

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Evaluating and Monitoring LLM & RAG Applications with Opik

Analytics Vidhya

Introduction AI development is making significant strides, particularly with the rise of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) applications. As developers strive to create more robust and reliable AI systems, tools that facilitate evaluation and monitoring have become essential. One such tool is Opik, an open-source platform designed to streamline the evaluation, testing, […] The post Evaluating and Monitoring LLM & RAG Applications with Opik appeared f

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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From Prediction to Reasoning: Evaluating o1’s Impact on LLM Probabilistic Biases

Marktechpost

Large language models (LLMs) have gained significant attention in recent years, but understanding their capabilities and limitations remains a challenge. Researchers are trying to develop methodologies to reason about the strengths and weaknesses of AI systems, particularly LLMs. The current approaches often lack a systematic framework for predicting and analyzing these systems’ behaviours.

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30 Python Code Snippets for your Everyday Use

Analytics Vidhya

Introduction Python is widely used by developers since it is an easy language to learn and implement. One its strong sides is that there are many samples of useful and concise code that may help to solve definite problems. Regardless of whether you are dealing with files, data, or web scraping these snippets will help […] The post 30 Python Code Snippets for your Everyday Use appeared first on Analytics Vidhya.

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SETI Institute Researchers Engage in World’s First Real-Time AI Search for Fast Radio Bursts

NVIDIA

This summer, scientists supercharged their tools in the hunt for signs of life beyond Earth. Researchers at the SETI Institute became the first to apply AI to the real-time direct detection of faint radio signals from space. Their advances in radio astronomy are available for any field that applies accelerated computing and AI. “We’re on the cusp of a fundamentally different way of analyzing streaming astronomical data, and the kinds of things we’ll be able to discover with it will be quite amaz

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LLM360 Group Introduces TxT360: A Top-Quality LLM Pre-Training Dataset with 15T Tokens

Marktechpost

In the ever-evolving world of large language models (LLMs), pre-training datasets form the backbone of how AI systems comprehend and generate human-like text. LLM360 has recently unveiled TxT360 , a groundbreaking pre-training dataset comprising 15 trillion tokens. This release combines diversity, scale, and rigorous data filtering to achieve one of the most sophisticated open-source datasets to date.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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Introducing Databricks Apps

databricks

Summary Databricks Apps, a new way to build and deploy internal data and AI applications, is now available in Public Preview on AWS.

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Podcastfy AI: An Open-Source Python Package that Transforms Web Content, PDFs, and Text into Engaging, Multi-Lingual Audio Conversations Using GenAI

Marktechpost

The advent of artificial intelligence has catalyzed numerous sophisticated applications, and Podcastfy AI stands out as an advanced solution within the domain of audio content generation. Developed as an open-source Python package, Podcastfy enables the transformation of web content, PDFs, and plain text into engaging, multilingual audio dialogues. This innovation fundamentally redefines how information is consumed by converting static text into an interactive conversational experience, thus ren

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TSMC and NVIDIA Transform Semiconductor Manufacturing With Accelerated Computing

NVIDIA

TSMC, the world leader in semiconductor manufacturing, is moving to production with NVIDIA’s computational lithography platform, called cuLitho , to accelerate manufacturing and push the limits of physics for the next generation of advanced semiconductor chips. A critical step in the manufacture of computer chips, computational lithography is involved in the transfer of circuitry onto silicon.

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Hex-LLM: A New LLM Serving Framework Designed for Efficiently Serving Open LLMs on Google Cloud TPUs

Marktechpost

In the rapidly evolving world of artificial intelligence, large language models (LLMs) have become essential tools for a variety of applications, ranging from natural language understanding to content generation. While the capabilities of these models continue to expand, efficiently serving and deploying them remains a challenge, particularly when it comes to balancing cost, throughput, and latency.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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58% of Inhousers ‘Expect Reduced Reliance’ On Law Firms

Artificial Lawyer

A new survey of 475 inhouse professionals across the US has found that 58% of them expect a ‘reduced reliance on outside providers for routine tasks’, because of the use of genAI.

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LLaVA-Critic: An Open-Source Large Multimodal Model Designed to Assess Model Performance Across Diverse Multimodal Tasks

Marktechpost

The ability of learning to evaluate is increasingly taking on a pivotal role in the development of modern large multimodal models (LMMs). As pre-training on existing web data reaches its limits, researchers are shifting towards post-training with AI-enhanced synthetic data. This transition highlights the growing importance of learning to evaluate in modern LMMs.

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A Not-So-Secret Agent: NVIDIA Unveils NIM Blueprint for Cybersecurity

NVIDIA

Artificial intelligence is transforming cybersecurity with new generative AI tools and capabilities that were once the stuff of science fiction. And like many of the heroes in science fiction, they’re arriving just in time. AI-enhanced cybersecurity can detect and respond to potential threats in real time — often before human analysts even become aware of them.

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Machine Learning Meets Physics: The 2024 Nobel Prize Story

Marktechpost

The 2024 Nobel Prize in Physics has been awarded to two pioneering figures in the field of artificial intelligence: John J. Hopfield of Princeton University and Geoffrey E. Hinton of the University of Toronto. They were recognized for their groundbreaking work in developing foundational machine learning technologies using artificial neural networks—work that has had a transformative impact on both the fields of physics and artificial intelligence.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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[The AI Show Episode 118]: OpenAI’s Whopping Valuation, Big OpenAI Tech Updates & Accenture’s Big Nvidia Team-Up

Marketing AI Institute

This week in AI, a $157 billion valuation, groundbreaking AI tools, and a tech giant's bold move. Join Mike and Paul as they unpack OpenAI's massive $6.6 billion funding round and the growing tension between its nonprofit roots and financial ambitions. They'll dive into OpenAI's latest product announcements and Accenture's bold move to form a dedicated Nvidia business group.

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Evaluating the Planning Capabilities of Large Language Models: Feasibility, Optimality, and Generalizability in OpenAI’s o1 Model

Marktechpost

New developments in Large Language Models (LLMs) have shown how well these models perform sophisticated reasoning tasks like coding, language comprehension, and math problem-solving. However, there is less information about how effectively these models work in terms of planning, especially in situations where a goal must be attained through a sequence of interconnected actions.

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OpenAI Raises $6.6 Billion, But Is It Enough?

Marketing AI Institute

OpenAI just secured a massive $6.6 billion funding round, valuing the company at a staggering $157 billion (nearly double OpenAI’s previous valuation of $80 billion).

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This AI Paper from Google Introduces Selective Attention: A Novel AI Approach to Improving the Efficiency of Transformer Models

Marktechpost

Transformers have gained significant attention due to their powerful capabilities in understanding and generating human-like text, making them suitable for various applications like language translation, summarization, and creative content generation. They operate based on an attention mechanism, which determines how much focus each token in a sequence should have on others to make informed predictions.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Accelerated Computing Key to Yale’s Quantum Research

NVIDIA

A recently released joint research paper by Yale, Moderna and NVIDIA reviews how techniques from quantum machine learning (QML) may enhance drug discovery methods by better predicting molecular properties. Ultimately, this could lead to the more efficient generation of new pharmaceutical therapies. The review also emphasizes that the key tool for exploring these methods is GPU-accelerated simulation of quantum algorithms.

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SpeechBrain: A PyTorch-based Speech Toolkit

Marktechpost

Speech and audio processing is crucial in models involving speech data, particularly in handling complex tasks such as speech recognition, text-to-speech synthesis, speaker recognition, and speech enhancement. The key challenge lies in the variability and complexity of speech signals, which are influenced by factors like pronunciation, accent, background noise, and acoustic conditions.

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Enhancing RAG Accuracy: Databricks Ventures Invests in Voyage AI

databricks

We consistently hear from our customers that one of the headwinds to transitioning Generative AI applications from pilot to production is the accuracy.