June, 2024

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Re-evaluating data management in the generative AI age

IBM Journey to AI blog

Generative AI has altered the tech industry by introducing new data risks, such as sensitive data leakage through large language models (LLMs), and driving an increase in requirements from regulatory bodies and governments. To navigate this environment successfully, it is important for organizations to look at the core principles of data management.

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Robotic Automation and AI in Metal Fabrication: A Synergistic Relationship

Aiiot Talk

Metal fabrication — creating metal structures through cutting, bending and assembling — is crucial in manufacturing. It provides essential components for various industries, from construction to automotive. In recent years, automation and AI have revolutionized many sectors, including metal fabrication. These advanced technologies transform traditional methods, making production more efficient, precise and cost-effective.

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How to Build a Multilingual Chatbot using Large Language Models?

Analytics Vidhya

Introduction This article covers the creation of a multilingual chatbot for multilingual areas like India, utilizing large language models. The system improves consumer reach and personalization by using LLMs to translate questions between local languages and English. We go over the architecture, implementation specifics, advantages, and required actions.

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Rethink IT spend in the age of generative AI

IBM Journey to AI blog

It’s the burning question for today’s CIOs: what do you spend your IT budget on? Cloud costs were already a challenge—in a recent survey, 24% estimated they wasted software spend. The explosion of generative AI makes it critical for organizations to consider frameworks like FinOps and technology business management ( TBM ) for visibility and accountability of all tech spend.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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A Comprehensive Guide on Langchain

Analytics Vidhya

Introduction Large language models (LLMs) have revolutionized natural language processing (NLP), enabling various applications, from conversational assistants to content generation and analysis. However, working with LLMs can be challenging, requiring developers to navigate complex prompting, data integration, and memory management tasks. This is where Langchain comes into play, a powerful open-source Python framework designed to […] The post A Comprehensive Guide on Langchain appeared fir

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Lamini AI’s Memory Tuning Achieves 95% Accuracy and Reduces Hallucinations by 90% in Large Language Models

Marktechpost

Lamini AI has introduced a groundbreaking advancement in large language models (LLMs) with the release of Lamini Memory Tuning. This innovative technique significantly enhances factual accuracy and reduces hallucinations in LLMs, considerably improving existing methodologies. The method has already demonstrated impressive results, achieving 95% accuracy compared to the 50% typically seen with other approaches and reducing hallucinations from 50% to a mere 5%.

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NVIDIA Releases Open Synthetic Data Generation Pipeline for Training Large Language Models

NVIDIA

NVIDIA today announced Nemotron-4 340B, a family of open models that developers can use to generate synthetic data for training large language models (LLMs) for commercial applications across healthcare, finance, manufacturing, retail and every other industry. High-quality training data plays a critical role in the performance, accuracy and quality of responses from a custom LLM — but robust datasets can be prohibitively expensive and difficult to access.

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How to Fix ‘AI’s Original Sin’

O'Reilly Media

Last month, TheNew York Times claimed that tech giants OpenAI and Google have waded into a copyright gray area by transcribing the vast volume of YouTube videos and using that text as additional training data for their AI models despite terms of service that prohibit such efforts and copyright law that the Times argues places them in dispute. The Times also quoted Meta officials as saying that their models will not be able to keep up unless they follow OpenAI and Google’s lead.

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The recipe for RAG: How cloud services enable generative AI outcomes across industries

IBM Journey to AI blog

According to research from IBM ®, about 42 percent of enterprises surveyed have AI in use in their businesses. Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing emails or essays. Yet even with widespread adoption of these chatbots, enterprises are still occasionally experiencing some challenges.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Similarity and Dissimilarity Measures in Data Science

Analytics Vidhya

Introduction Data Science deals with finding patterns in a large collection of data. For that, we need to compare, sort, and cluster various data points within the unstructured data. Similarity and dissimilarity measures are crucial in data science, to compare and quantify how similar the data points are. In this article, we will explore the […] The post Similarity and Dissimilarity Measures in Data Science appeared first on Analytics Vidhya.

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Biohybrid Robotics: Living Skin Successfully Bonded to Humanoid Robots

Unite.AI

In a groundbreaking development , researchers have successfully bound engineered skin tissue to the complex forms of humanoid robots. This achievement is a significant leap forward in the field of biohybrid robotics, blending biology with mechanical engineering to create more lifelike and functional robotic systems. The breakthrough, led by Professor Shoji Takeuchi of the University of Tokyo, addresses a longstanding challenge in robotics: creating a seamless interface between artificial structu

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Perplexica: The Open-Source Solution Replicating Billion Dollar Perplexity for AI Search Tools

Marktechpost

In today’s information age, finding specific information you need can feel like searching for a needle in a haystack. Search engines act as a powerful tool for saving time and effort. Despite having access to a vast amount of information, existing search engines fail to provide effective results. A recent introduction of the open-source project Perplexica addresses the limitations of traditional search engines in providing relevant and insightful results based on user intent.

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Light Bulb Moment: NVIDIA CEO Sees Bright Future for AI-Powered Electric Grid

NVIDIA

The electric grid and the utilities managing it have an important role to play in the next industrial revolution that’s being driven by AI and accelerated computing, said NVIDIA founder and CEO Jensen Huang Tuesday at the annual meeting of the Edison Electric Institute (EEI), an association of U.S. and international utilities. “The future of digital intelligence is quite bright, and so the future of the energy sector is bright, too,” said Huang in a keynote before an audience of more than a thou

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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

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Two sides of the same coin: GenAI and AI

SAS Software

“Generative AI is essentially just a subcategory of AI; it’s not that new algorithms have been invented.” Marinela Profi, AI Product Strategy Lead at SAS, says it up front and directly in her most recent podcast interview. “It takes a variety of data points, code, images and then, based on [.

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We Need To Talk About GenAI Accuracy

Artificial Lawyer

Generative AI is without doubt the most powerful technology to be applied to the legal sector since the arrival of digital tools, yet it has a serious challenge: accuracy.

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PyTorch vs TensorFlow: Which is Better for Deep Learning?

Analytics Vidhya

Introduction Efficient ML models and frameworks for building or even deploying are the need of the hour after the advent of Machine Learning (ML) and Artificial Intelligence (AI) in various sectors. Although there are several frameworks, PyTorch and TensorFlow emerge as the most famous and commonly used ones. PyTorch and Tensorflow have similar features, integrations, […] The post PyTorch vs TensorFlow: Which is Better for Deep Learning?

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The Future of Manufacturing: How Digital Twins, 3D AI, Robotics Automation, and Immersive Reality Tech Are Modernizing Industries

Unite.AI

The manufacturing sector today is being driven by rapid advancements in sophisticated technology. Among the most significant contributors to this modernization are Digital Twins, 3D AI, robotics automation, and immersive reality technologies. These innovations are not merely enhancing traditional manufacturing processes but are fundamentally altering how industries approach production, quality control, and overall operational efficiency.

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IT Leadership Agrees AI is Here, but Now What?

IT leaders are experiencing rapid evolution in AI amid sustained investment uncertainty. As AI evolves, enhanced cybersecurity and hiring challenges grow. This whitepaper offers real strategies to manage risks and position your organization for success.

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Key Metrics for Evaluating Large Language Models (LLMs)

Marktechpost

Evaluating Large Language Models (LLMs) is a challenging problem in language modeling, as real-world problems are complex and variable. Conventional benchmarks frequently fail to fully represent LLMs’ all-encompassing performance. A recent LinkedIn post has emphasized a number of important measures that are essential to comprehend how well new models function, which are as follows.

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EvolutionaryScale Debuts With ESM3 Generative AI Model for Protein Design

NVIDIA

Generative AI has revolutionized software development with prompt-based code generation — protein design is next. EvolutionaryScale today announced the release of its ESM3 model, the third-generation ESM model, which simultaneously reasons over the sequence, structure and functions of proteins, giving protein discovery engineers a programmable platform.

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How FactSet Implemented an Enterprise Generative AI Platform with Databricks and MLflow

databricks

“FactSet’s mission is to empower clients to make data-driven decisions and supercharge their workflows and productivity. To deliver AI-driven solutions across our entire.

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Educators share their experiences from SAS Innovate

SAS Software

Good educators are more than a source of knowledge; they inspire, innovate and continuously adapt to provide their students with the best learning experiences. Effective educators embrace new technologies, foster critical thinking and prepare students for future challenges. Recognizing their importance, SAS recently honored exemplary educators at SAS Innovate 2024. [.

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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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Building an Agentic Workflow with CrewAI and Groq

Analytics Vidhya

Introduction “AI Agentic workflow will drive massive progress this year,” commented Andrew Ng, highlighting the significant advancements anticipated in AI. With the growing popularity of large language models, Autonomous Agents are becoming a topic of discussion. In this article, we will explore Autonomous Agents, cover the components of building an Agentic workflow, and discuss the […] The post Building an Agentic Workflow with CrewAI and Groq appeared first on Analytics Vidhy

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5 Free Books on Machine Learning Algorithms You Must Read

Machine Learning Mastery

If you are a machine learning student, researcher, or practitioner, it is crucial for your career growth to have a deep understanding of how each algorithm works and the various techniques to enhance model performance. Nowadays, many individuals tend to focus solely on the code, data, and pre-trained models, often without fully comprehending the machine […] The post 5 Free Books on Machine Learning Algorithms You Must Read appeared first on MachineLearningMastery.com.

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Comprehensive Analysis of The Performance of Vision State Space Models (VSSMs), Vision Transformers, and Convolutional Neural Networks (CNNs)

Marktechpost

Deep learning models like Convolutional Neural Networks (CNNs) and Vision Transformers achieved great success in many visual tasks, such as image classification, object detection, and semantic segmentation. However, their ability to handle different changes in data is still a big concern, especially for use in security-critical applications. Many works evaluated the robustness of CNNs and Transformers against common corruptions, domain shifts, information drops, and adversarial attacks.

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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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Breaking New Ground: Managing Innovation Fatigue With Effective Automation

Speaker: Gary Dmitriev

Our upcoming webinar aims to demystify the process of selecting and implementing automation tools for financial institutes. This session will provide your roadmap for vetting potential solutions, focusing on due diligence, vendor assessments, and aligning technology with strategic goals. We’ll also address the critical issue of innovation fatigue, offering tips on maintaining enthusiasm and momentum for new initiatives.

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Mosaic AI: Build and deploy production-quality Compound AI Systems

databricks

Over the last year, we have seen a surge of commercial and open-source foundation models showing strong reasoning abilities on general knowledge tasks.

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A Comprehensive Introduction to Instruction Fine-Tuning for LLMs

Towards AI

Last Updated on June 18, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Instruction tuning is a process used to enhance large language models (LLMs) by refining their ability to follow specific instructions. OpenAI’s work on InstructGPT first introduced instruction fine-tuning. InstructGPT was trained to follow human instructions better by fine-tuning GPT-3 on datasets where humans rated the model’s responses, which was a major step towards producing ChatGPT.

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Standard Deviation in Excel and Sheets

Analytics Vidhya

Introduction If you have been working with data, I’m sure you use Microsoft Excel or Google Sheets on a daily basis. These tools make data storage and organization so easy, that they’ve become indispensable for data analysts, finance professionals, and even students. The best part of using these programs is the built-in functions they have, […] The post Standard Deviation in Excel and Sheets appeared first on Analytics Vidhya.