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.

Robotics 298
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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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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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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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Meta unveils five AI models for multi-modal processing, music generation, and more

AI News

Meta has unveiled five major new AI models and research, including multi-modal systems that can process both text and images, next-gen language models, music generation, AI speech detection, and efforts to improve diversity in AI systems. The releases come from Meta’s Fundamental AI Research (FAIR) team which has focused on advancing AI through open research and collaboration for over a decade.

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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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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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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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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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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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Anthropic’s Claude 3.5 Sonnet beats GPT-4o in most benchmarks

AI News

Anthropic has launched Claude 3.5 Sonnet , its mid-tier model that outperforms competitors and even surpasses Anthropic’s current top-tier Claude 3 Opus in various evaluations. Claude 3.5 Sonnet is now accessible for free on Claude.ai and the Claude iOS app, with higher rate limits for Claude Pro and Team plan subscribers. It’s also available through the Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI.

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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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Dont Let AI Pass You By: The New Era of Personalized Sales Coaching & Development

Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

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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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‘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.

Robotics 141
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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.

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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.

Robotics 279
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How To Select the Right Software for Innovation Management

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

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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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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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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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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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The New Frontier: A Guide to Monetizing AI Offerings

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

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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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BetterPic Review: Can AI Generate Headshots in 25 Minutes?

Unite.AI

With the increasing prevalence of digital networking, having a professional corporate headshot makes all the difference. For example, the quality of your LinkedIn profile picture can be make-or-break for an employer that comes across your profile looking for candidates. However, not everyone wants to spend the time and money on a traditional photo shoot.

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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.

AI 142
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Hallucination in Large Language Models (LLMs) and Its Causes

Marktechpost

The emergence of large language models (LLMs) such as Llama, PaLM, and GPT-4 has revolutionized natural language processing (NLP), significantly advancing text understanding and generation. However, despite their remarkable capabilities, LLMs are prone to producing hallucinations, content that is factually incorrect or inconsistent with user inputs.

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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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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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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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