IBM Journey to AI blog

OCTOBER 15, 2024

With almost 1,700 players in 272 games, the amount of data generated during the NFL football season is enormous. Fantasy football team owners are faced with complex decisions and an ocean of information. Deciding who to start, who to bench and who to trade each week can be a daunting task. It can also be a lot of fun—and that’s why the ESPN Fantasy app engages 12 million fantasy football users each year.

Explainability 257

Explainability Machine Learning Large Language Models Algorithm 257

AI News

OCTOBER 15, 2024

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance. From personalised customer experiences to predictive maintenance and advanced fraud detection, the potential of ML is limitless.

Machine Learning 251

Machine Learning Chatbots Business Intelligence Automation 251

Analytics Vidhya

OCTOBER 15, 2024

Introduction The marketing landscape has undergone a massive transformation with the rise of artificial intelligence (AI). Among the AI-driven innovations, generative AI (GenAI) is particularly revolutionizing how marketing teams create content, optimize activities, and deliver campaigns. From personalizing customer experiences to automating content creation, GenAI is capable of enhancing the productivity of the marketing team […] The post How to Use Generative AI in Marketing?

Generative AI 231

Generative AI Artificial Intelligence Artificial Intelligence Automation 231

AI News

OCTOBER 15, 2024

Telefónica’s corporate venture capital arm, Wayra , has announced its investment in AI answer engine Perplexity. Perplexity’s AI-driven platform aims to revolutionise internet information searches by providing real-time, accurate, and contextual answers to queries using natural language processing. Unlike traditional search engines that return a list of links, Perplexity understands the intent behind questions and delivers clear, concise answers from a curated set of relevant sources

Big Data 249

Big Data Natural Language Processing AI AI 249

Speaker: Carolyn Clark and Miriam Connaughton

The future of HR is here, and it's all about collaboration, innovation, and impact. Join us for a forward-thinking session where seasoned experts Miriam and Carolyn will share insights and practical strategies to help you stay ahead of evolving HR trends. Discover how to build strong partnerships with internal teams to craft a transparent, authentic, and connected workforce experience.

AI

Analytics Vidhya

OCTOBER 15, 2024

Introduction The past week in artificial intelligence has been marked by rapid advancements in model capabilities, hardware, and ethical considerations, sparking conversations about the societal impacts of AI. From OpenAI’s $6.6 billion funding round, pushing its valuation to $157 billion, to Meta’s ambitious launch of Movie Gen for video generation, the landscape is evolving quickly. […] The post AI Bytes: OpenAI, Meta, NVIDIA Lead Breakthroughs amid Industry Challenges appeared first on

OpenAI 216

OpenAI Artificial Intelligence Artificial Intelligence AI 216

Analytics Vidhya

OCTOBER 15, 2024

Introduction Chatbots have become an essential tool for most organisations. They provide excellent customer support and enhance user engagement. Are you interested in building a chatbot for your business but aren’t a developer? No problem! Thanks to rapid advancements in no-code platforms, building an AI agent chatbot without coding is now possible for anyone.

AI Chatbots 196

AI Chatbots Chatbots AI AI 196

Unite.AI

OCTOBER 15, 2024

A groundbreaking new technique, developed by a team of researchers from Meta, UC Berkeley, and NYU, promises to enhance how AI systems approach general tasks. Known as “ Thought Preference Optimization ” (TPO), this method aims to make large language models (LLMs) more thoughtful and deliberate in their responses. The collaborative effort behind TPO brings together expertise from some of the leading institutions in AI research.

Large Language Models 167

Large Language Models AI Modeling Artificial Intelligence Artificial Intelligence 167

Analytics Vidhya

OCTOBER 15, 2024

Introduction Large Language Models , like GPT-4, have transformed the way we approach tasks that require language understanding, generation, and interaction. From drafting creative content to solving complex problems, the potential of LLMs seems boundless. However, the true power of these models is not just in their architecture but in how effectively we communicate with […] The post 17 Prompting Techniques to Supercharge Your LLMs appeared first on Analytics Vidhya.

Large Language Models 214

Large Language Models Prompt Engineer Prompt Engineering LLM 214

Unite.AI

OCTOBER 15, 2024

In recent years, the growing ability of generative AI to create realistic visuals, mimic artistic styles, and produce entirely new forms of expression has redefined how art is made and experienced. While this transformation offers remarkable opportunities for innovation and productivity in the creative sector, it also raises concerns about intellectual property rights and the potential misuse of artistic works.

Metadata 157

Metadata AI AI Generative AI 157

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

Analytics Vidhya

OCTOBER 15, 2024

Introduction Artificial Intelligence (AI) is rapidly evolving, and 2024 is shaping up to be the year of AI agents. But what are AI agents, and why are they becoming so important? AI agents represent a shift from traditional AI models to more autonomous systems capable of reasoning, planning, and acting on their own. In this […] The post What are AI Agents?

Artificial Intelligence 165

Artificial Intelligence Artificial Intelligence AI AI 165

IBM Journey to AI blog

OCTOBER 15, 2024

The cloud revolution has fundamentally transformed how businesses operate. Its superior scalability, agility and cost-effectiveness have made it the go-to platform for organizations of all sizes. However, this shift to the cloud has introduced a new landscape of ever-evolving security threats. Data breaches and cyberattacks continue to hit organizations, making robust cloud network security an absolute necessity.

Automation 146

Automation 146

Analytics Vidhya

OCTOBER 15, 2024

Introduction Function calling in large language models (LLMs) has transformed how AI agents interact with external systems, APIs, or tools, enabling structured decision-making based on natural language prompts. By using JSON schema-defined functions, these models can autonomously select and execute external operations, offering new levels of automation.

Large Language Models 157

Large Language Models Automation AI AI 157

NVIDIA

OCTOBER 15, 2024

Moving to accelerate enterprise AI innovation, NVIDIA founder and CEO Jensen Huang joined Lenovo CEO Yuanqing Yang on stage Tuesday during the keynote at Lenovo Tech World 2024. Together, they introduced the Lenovo Hybrid AI Advantage with NVIDIA , a full-stack platform for building and deploying AI capabilities across the enterprise that drive speed, innovation and productivity.

Hybrid AI 142

Hybrid AI Large Language Models AI AI 142

Advertisement

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Marktechpost

OCTOBER 15, 2024

A major challenge in the evaluation of vision-language models (VLMs) lies in understanding their diverse capabilities across a wide range of real-world tasks. Existing benchmarks often fall short, focusing on narrow sets of tasks or limited output formats, resulting in inadequate evaluation of the models’ full potential. The problem becomes more pronounced when evaluating newer multimodal foundation models that need comprehensive testing across numerous application domains.

Inference Engine 130

Inference Engine AI AI ML 130

Extreme Tech

OCTOBER 15, 2024

The company has finally crashed through the 30TB barrier thanks to a new 11-platter design.

122

122

Marktechpost

OCTOBER 15, 2024

The challenge lies in generating effective agentic workflows for Large Language Models (LLMs). Despite their remarkable capabilities across diverse tasks, creating workflows that combine multiple LLMs into coherent sequences is labor-intensive, which limits scalability and adaptability to new tasks. Efforts to automate workflow generation have not yet fully eliminated the need for human intervention, making broad generalization and effective skill transfer for LLMs difficult to achieve.

Artificial Intelligence 125

Artificial Intelligence Artificial Intelligence Automation Inference Engine 125

Extreme Tech

OCTOBER 15, 2024

Even minor changes in your query can cause LLMs to make major mistakes.

LLM 118

LLM 118

Advertisement

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

AWS Machine Learning Blog

OCTOBER 15, 2024

Public speaking is a critical skill in today’s world, whether it’s for professional presentations, academic settings, or personal growth. By practicing it regularly, individuals can build confidence, manage anxiety in a healthy way, and develop effective communication skills leading to successful public speaking engagements. Now, with the advent of large language models (LLMs), you can use generative AI -powered virtual assistants to provide real-time analysis of speech, identification of areas

Generative AI 121

Generative AI Prompt Engineering Prompt Engineer AI 121

Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have become crucial in natural language processing, particularly for solving complex reasoning tasks. These models are designed to handle mathematical problem-solving, decision-making, and multi-step logical deductions. However, while LLMs can process and generate responses based on vast amounts of data, improving their reasoning capabilities is an ongoing challenge.

Machine Learning 117

Machine Learning LLM AI Researcher AI Research 117

Extreme Tech

OCTOBER 15, 2024

The system features an odd mix of advanced cooling and older components.

113

113

IBM Journey to AI blog

OCTOBER 15, 2024

The long-standing partnership between IBM and Intel has led to significant advancements in database performance over the past 25 years. Based on internal testing by IBM, the latest generation Intel® Xeon® Scalable processors from Intel, combined with Intel software, have the potential to drive enhanced performance for IBM® watsonx.data.

Automation 112

Automation AI AI Artificial Intelligence 112

Advertisement

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Marktechpost

OCTOBER 15, 2024

The ever-increasing size of Large Language Models (LLMs) presents a significant challenge for practical deployment. Despite their transformative impact on natural language processing, these models are often hindered by high memory transfer requirements, which pose a bottleneck during autoregressive generation. This results in high energy consumption and substantial inference time, limiting their scalability and use on memory-constrained hardware.

LLM 109

LLM Inference Engine Natural Language Processing Large Language Models 109

Extreme Tech

OCTOBER 15, 2024

They'll be getting functionality like X for the backspace and Y for the spacebar.

99

99

Marktechpost

OCTOBER 15, 2024

Bias in AI-powered systems like chatbots remains a persistent challenge, particularly as these models become more integrated into our daily lives. A pressing issue concerns biases that can manifest when chatbots respond differently to users based on name-related demographic indicators, such as gender or race. Such biases can undermine trust, especially in name-sensitive contexts where chatbots are expected to treat all users equitably.

OpenAI 109

OpenAI Chatbots Inference Engine ChatGPT 109

Viso.ai

OCTOBER 15, 2024

This article provides a guide to the OpenPose library for real-time multi-person keypoint detection. We provide a review of its architecture and features and provide a comparison with other human pose estimation methods. In the following, we will cover the following: Pose Estimation in Computer Vision What is OpenPose? How does it work? How to Use OpenPose?

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

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

OCTOBER 15, 2024

Predibase announces the Predibase Inference Engine , their new infrastructure offering designed to be the best platform for serving fine-tuned small language models (SLMs). The Predibase Inference Engine dramatically improves SLM deployments by making them faster, easily scalable, and more cost-effective for enterprises grappling with the complexities of productionizing AI.

Inference Engine 104

Inference Engine LLM AI AI 104

Extreme Tech

OCTOBER 15, 2024

It has a faster processor with AI acceleration but is not as capable as other iPads.

AI 96

AI AI 96

Marktechpost

OCTOBER 15, 2024

The increasing reliance on machine learning models for processing human language comes with several hurdles, such as accurately understanding complex sentences, segmenting content into comprehensible parts, and capturing the contextual nuances present in multiple domains. In this landscape, the demand for models capable of breaking down intricate pieces of text into manageable, proposition-level components has never been more pronounced.

NLP 103

NLP Inference Engine AI AI 103