Analytics Vidhya

JANUARY 26, 2024

Introduction Are you a passionate data professional exploring new tools? Try Metabase, an open-source Business Intelligence (BI) tool for creating interactive dashboards from large datasets. In today’s data-driven world, BI platforms like Metabase are essential for extracting insights and facilitating informed decision-making. Discover the power of Metabase in this guide tailored for data professionals.

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Business Intelligence 353

AI News

JANUARY 26, 2024

OpenAI has announced several updates that will benefit developers using its AI services, including new embedding models, a lower price for GPT-3.5 Turbo, an updated GPT-4 Turbo preview, and more robust content moderation capabilities. The San Francisco-based AI lab said its new text-embedding-3-small and text-embedding-3-large models offer upgraded performance over previous generations.

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Analytics Vidhya

JANUARY 26, 2024

Introduction The rise of Large Language Models (LLMs) like ChatGPT has been revolutionary, igniting a new era in how we interact with technology. These sophisticated models, exemplified by ChatGPT, have redefined how we engage with digital platforms. Think about it – how often have you used tools like ChatGPT to effortlessly write an email or […] The post Ultimate List of Generative AI Resources appeared first on Analytics Vidhya.

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Generative AI Large Language Models ChatGPT AI 349

IBM Journey to AI blog

JANUARY 26, 2024

Telecommunications industry, a cornerstone of global connectivity, has been going through a technological renaissance for some time, driven by innovations such as 5G, IoT, cloud computing and AI. As a result, networks have become increasingly hard to manage. There is a need for automation to handle routine tasks, monitor network health and respond to issues in real-time.

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Automation Generative AI Data Scientist Software Development 295

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.

AI

Analytics Vidhya

JANUARY 26, 2024

Introduction In recent years, artificial intelligence (AI) has revolutionized various industries, including content creation. AI tools have become invaluable assets for content creators, offering numerous benefits and enhancing productivity. This article explores the top AI tools that content creators can utilize in 2024, tips for maximizing their potential and best practices for practical usage.

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AI Tools Artificial Intelligence Artificial Intelligence AI 305

Unite.AI

JANUARY 26, 2024

Imagine a newsletter crafted by AI for AI enthusiasts, introducing Unite.AI: Exponential Insights. This entirely AI-powered newsletter leverages a deep neural network to highlight major breakthroughs in AI and its allied fields. The content, curated by AI, immerses you in practical AI applications and keeps you updated on the latest in machine learning , quantum computing, augmented reality, and other AI-driven critical technologies.

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Robotics Neural Network Machine Learning Artificial Intelligence 264

IBM Journey to AI blog

JANUARY 26, 2024

IBM® recently announced that it has worked with its business partner, Beijing Shuto Technology Co., Ltd. (hereafter as Shuto Technology) to help a joint venture Original Equipment Manufacturer (OEM) in China to obtain information in an accurate and cost-effective way for on-site technicians. This makes the client’s equipment repair work more efficient and improves the reliability of its equipment.

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Auto-complete Data Integration Automation AI 222

Unite.AI

JANUARY 26, 2024

Recent advances in large language models (LLMs) like GPT-4, PaLM have led to transformative capabilities in natural language tasks. LLMs are being incorporated into various applications such as chatbots, search engines, and programming assistants. However, serving LLMs at scale remains challenging due to their substantial GPU and memory requirements.

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Large Language Models LLM Software Architect Chatbots 241

IBM Journey to AI blog

JANUARY 26, 2024

Renewable energy , also known as clean energy, is produced from natural resources that are generated and replenished faster than they are consumed—such as the sun, water and wind. Most renewable energy sources produce zero carbon emissions and minimal air pollutants. Fossil fuels (oil, coal and natural gas) on the other hand, are finite resources and release harmful greenhouse gas emissions (GHGs), including carbon dioxide (CO2) and methane, when burned.

Artificial Intelligence 220

Artificial Intelligence Artificial Intelligence Automation AI 220

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.

AI

AssemblyAI

JANUARY 26, 2024

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord 🚀Announcing the AssemblyAI Go SDK We've just launched our new  Go SDK  to make it far easier for Golang developers to use the AssemblyAI API. This release marks a significant milestone as it joins our suite of SDKs, which already includes  Python ,  TypeScript ,  JavaScript , and  Java.

Large Language Models 162

Large Language Models Python Generative AI AI Modeling 162

IBM Journey to AI blog

JANUARY 26, 2024

When North America suffered its largest blackout , it cost upwards of USD 6 billion and left 50 million people without power for up to two days. What caused the blackout? Overgrown trees that came into contact with a power line. Beyond causing blackouts, overgrown vegetation can also cause soil erosion and water quality problems, disrupting both our economy and the environment.

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Automation AI AI 202

Marktechpost

JANUARY 26, 2024

In a significant stride towards advancing Python-based conversational AI development, the Quarkle development team recently unveiled “ PriomptiPy ,” a Python implementation of Cursor’s innovative Priompt library. This release marks a pivotal moment for developers as it extends the cutting-edge features of Cursor’s stack to all large language model (LLM) applications, including the popular Quarkle.

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Python Large Language Models Conversational AI Chatbots 135

IBM Journey to AI blog

JANUARY 26, 2024

Hybrid Cloud Mesh, which is generally available now, is revolutionizing application connectivity across hybrid multicloud environments. Let’s draw a comparison between Hybrid Cloud Mesh and a typical service mesh to better understand the nuances of these essential components in the realm of modern enterprise connectivity. This comparison deserves merit because both the solutions are focused on application-centric connectivity albeit in a different manner.

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Automation 191

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.

AI

Marktechpost

JANUARY 26, 2024

A key challenge in text-to-music generation using diffusion models is controlling pre-trained text-to-music diffusion models at inference time. While effective, these models can only sometimes produce fine-grained and stylized musical outputs. The difficulty stems from their complexity, which usually requires sophisticated techniques for fine-tuning and manipulation to achieve specific musical styles or characteristics.

AI 133

AI AI ML Artificial Intelligence 133

Unite.AI

JANUARY 26, 2024

Honey Mittal is the Co-Founder & CEO at Locofy, prior to this he was the Chief Product Officer at 3 Series A-E startups (namely – Homage, Finaccel & Wego) in early and growth stages. Locofy turns designs into production-ready frontend code for mobile apps and web. It enables builders to ship products 10x faster using existing design tools, tech stacks & workflows.

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Machine Learning Automation Continuous Learning ML 130

Marktechpost

JANUARY 26, 2024

The development of large language models (LLMs) like GPT and LLaMA has marked a significant milestone. These models have become indispensable tools for various natural language processing tasks. However, creating these models from scratch involves considerable costs, immense computational resources, and substantial energy consumption. This has led to an increasing interest in developing cost-effective alternatives.

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Large Language Models Natural Language Processing LLM AI 133

IBM Journey to AI blog

JANUARY 26, 2024

You asked, and we delivered! At Instana, addressing our customers’ needs and creating a simple tool that is easy to use is fundamental to helping our DevOps and SRE teams reduce burnout rates, allowing them to excel in what they do best. Taking all your feedback and market insights into perspective and careful consideration, we are thrilled to announce that in 2023.

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Automation DevOps Software Development Artificial Intelligence 128

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.

Marktechpost

JANUARY 26, 2024

In recent times, Large Language Models (LLMs) have gained popularity for their ability to respond to user queries in a more human-like manner, accomplished through reinforcement learning. However, aligning these LLMs with human preferences in reinforcement learning from human feedback (RLHF) can lead to a phenomenon known as reward hacking. This occurs when LLMs exploit flaws in the reward model (RM), achieving high rewards without fulfilling the underlying objectives, as illustrated in Figure 1

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Large Language Models Machine Learning Responsible AI ML 131

Extreme Tech

JANUARY 26, 2024

That’s equivalent to adding a whole new Sweden to the world's energy grid, the International Electricity Agency says.

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AI AI 122

Marktechpost

JANUARY 26, 2024

Recent advancements in generative models for text-to-image (T2I) tasks have led to impressive results in producing high-resolution, realistic images from textual prompts. However, extending this capability to text-to-video (T2V) models poses challenges due to the complexities introduced by motion. Current T2V models face limitations in video duration, visual quality, and realistic motion generation, primarily due to challenges related to modeling natural motion, memory, compute requirements, and

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AI AI ML Computer Vision 131

Extreme Tech

JANUARY 26, 2024

The company's X3D chips will arrive later in the year, right before Intel launches Arrow Lake.

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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

JANUARY 26, 2024

With the advancement of AI in recent times, large language models are being used in many fields. These models are trained on larger datasets and require bigger training datasets. These are used in various natural language processing (NLP) tasks, such as dialogue systems, machine translation, information retrieval, etc. There has been thorough research in LLMs to formulate new useful models in NLP.

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Large Language Models Natural Language Processing NLP LLM 130

Extreme Tech

JANUARY 26, 2024

TSMC is reportedly expected to begin production in late 2025.

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Marktechpost

JANUARY 26, 2024

Proteins are essential for various cellular functions, providing vital amino acids for humans. Understanding proteins is crucial for human biology and health, requiring advanced machine-learning models for protein representation. Self-supervised pre-training, inspired by natural language processing, has significantly improved protein sequence representation.

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BERT Natural Language Processing Machine Learning ML 128

Extreme Tech

JANUARY 26, 2024

The gorgeous GPUs will only be available in the most expensive RTX 40 series Super GPU, sadly.

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Marketing AI Institute

JANUARY 26, 2024

AI is helping salespeople everywhere crush their quotas. It's doing that in two big ways. First, it's dramatically increasing productivity by automating and augmenting important, but repetitive, sales tasks like: taking notes during meetings, analyzing calls, and speeding up research on prospects. Second, it's supercharging sales performance by unlocking AI-powered capabilities that were previously impossible like: predicting the likelihood that leads will close, identifying new in-market leads,

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Automation AI AI 105

Extreme Tech

JANUARY 26, 2024

The helicopter was only supposed to fly five times. It completed 72 flights.

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Marktechpost

JANUARY 26, 2024

The most recent advancement in the field of Artificial Intelligence (AI), i.e., Large Language Models (LLMs), has demonstrated some great improvement in language production. With model sizes reaching billions of parameters, these models are stepping into every domain, ranging from healthcare and finance to education. Though these models have shown amazing capabilities, the development of the model’s size has led to an increased inference latency, which poses a problem for real-world applic

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Large Language Models Machine Learning LLM Artificial Intelligence 104