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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.
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.
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?
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
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
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
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.
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.
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.
Don Schuerman is chief technology officer and vice-president of product marketing at Pegasystems, responsible for Pega’s platform and customer relationship management (CRM) applications. He has 20 years’ experience delivering enterprise software solutions for Fortune 500 organisations, with a focus on digital transformation, mobility, analytics, business process management, cloud and CRM.
We’re excited to announce the release of SageMaker Core , a new Python SDK from Amazon SageMaker designed to offer an object-oriented approach for managing the machine learning (ML) lifecycle. This new SDK streamlines data processing, training, and inference and features resource chaining, intelligent defaults, and enhanced logging capabilities. With SageMaker Core, managing ML workloads on SageMaker becomes simpler and more efficient.
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?
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
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.
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.
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.
Amazon SageMaker Ground Truth is a powerful data labeling service offered by AWS that provides a comprehensive and scalable platform for labeling various types of data, including text, images, videos, and 3D point clouds, using a diverse workforce of human annotators. In addition to traditional custom-tailored deep learning models, SageMaker Ground Truth also supports generative AI use cases, enabling the generation of high-quality training data for artificial intelligence and machine learning (
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
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.
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.
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.
In a significant advancement for cancer detection, miRoncol , a medtech startup, has completed proof-of-concept studies for a groundbreaking blood test capable of detecting multiple types of cancer at early stages. This innovative test utilizes cutting-edge technologies, including microRNA (miRNA) research and machine learning. By identifying cancers in their earliest stages, the test has the potential to revolutionize preventative healthcare, providing a highly sensitive and affordable solution
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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.
Powerful AI by 2026? Tesla's steering wheel-free future? Nvidia's compute explosion? Join Paul Roetzer and Mike Kaput they unpack Dario Amodei's bold 15,000-word manifesto predicting the arrival of "powerful AI" by 2026 and its transformative impact on society. Our hosts also examine the future implications of Tesla's "We, Robot" event, Nvidia CEO Jensen Huang's revealing interview, AI-related Nobel prizes, AI’s impact on search, and more in our rapid-fire section.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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.
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.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
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.
CLM company ContractPodAi (CP) has formed a strategic alliance with KPMG. The Big Four firm will tap Leah, CP’s genAI platform for lawyers, for its expanding managed legal services capability.
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