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.

Generative AI 348

Generative AI Large Language Models ChatGPT AI 348

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.

Automation 306

Automation Generative AI Software Development Data Scientist 306

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.

Business Intelligence 336

Business Intelligence 336

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.

Automation 296

Automation DevOps Software Development Artificial Intelligence 296

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

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.

OpenAI 285

OpenAI Big Data Chatbots AI 285

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.

Robotics 264

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.

Auto-complete 229

Auto-complete Data Integration Automation AI 229

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.

Large Language Models 241

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 229

Artificial Intelligence Artificial Intelligence Automation AI 229

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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?

Business Intelligence

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

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.

Automation 223

Automation 223

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.

Machine Learning 130

Machine Learning Automation Continuous Learning AI 130

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.

Automation 221

Automation AI AI 221

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

AI

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.

Python 129

Python Large Language Models Conversational AI Chatbots 129

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.

Automation 169

Automation DevOps Software Development Artificial Intelligence 169

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

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,

Automation 114

Automation AI AI 114

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.

Business Intelligence

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.

Large Language Models 133

Large Language Models Natural Language Processing LLM AI 133

Marketing AI Institute

JANUARY 26, 2024

Spotify uses artificial intelligence in a ton of smart ways to create an incredible listening experience across its audio streaming platform. This includes an AI DJ feature that curates a personalized selection of music for you based on your preferences, AI that translates podcasts into different languages , AI-powered music and podcast recommendations, and AI-driven search capabilities.

Artificial Intelligence 108

Artificial Intelligence Artificial Intelligence AI AI 108

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

Large Language Models 132

Large Language Models Machine Learning Responsible AI ML 132

Towards AI

JANUARY 26, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): Shivamshinde Originally published on Towards AI. This article will explain the concept of hyperparameter tuning and the different methods that are used to perform this tuning, and their implementation using python Photo by Denisse Leon on Unsplash Table of Content Model Parameters Vs Model Hyperparameters What is hyperparameter tuning?

Deep Learning 82

Deep Learning Algorithm Machine Learning Explainability 82

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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

AI 130

AI AI ML Computer Vision 130

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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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.

Large Language Models 131

Large Language Models Natural Language Processing NLP LLM 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.

AI 112

AI AI 112

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.

Generative AI

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.

BERT 129

BERT Natural Language Processing Machine Learning ML 129

Towards AI

JANUARY 26, 2024

Last Updated on January 29, 2024 by Editorial Team Author(s): PromptDervish Originally published on Towards AI. Welcome to an exciting update in Midjourney v6 — the Vary(Region) in-painting feature! As a generative art enthusiast, I’m thrilled to take you through this innovative addition. Vary(Region) introduces a new dimension of creativity, enabling you to tweak specific areas in your AI-generated images with remarkable precision.

AI 103

AI AI Machine Learning 103

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

Large Language Models 104

Large Language Models Machine Learning LLM Artificial Intelligence 104