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KissanAI has made waves in the agricultural sector with the introduction of Dhenu Llama 3, a cutting-edge AI model tailored specifically for farmers. This innovative creation, fine-tuned on Meta’s Llama 3 8B architecture, promises enhanced capabilities and superior performance benchmarks. Let’s delve deeper into this innovative development.
As e-commerce continues to dominate the retail landscape, leveraging the power of artificial intelligence has become essential for optimizing online stores and maximizing sales. Shopify, a leading e-commerce platform, has embraced this trend by integrating AI-powered tools that enhance various aspects of online selling, from product recommendations to customer support.
Microsoft has unveiled its latest innovation in artificial intelligence (AI), the Phi-3 Mini. This new model challenges the notion that bigger is always better in AI models. This compact yet powerful model promises to revolutionize the field with its efficiency and accessibility. Let’s explore its features and capabilities. Also Read: Alibaba’s LLM-R2: Revolutionizing SQL Query […] The post Microsoft’s Phi-3 Mini: The New Era of Compact AI Models appeared first on Analytics Vid
Change is inevitable in an organization; especially in the age of digital transformation and emerging technologies, businesses and employees need to adapt. Change management (CM) is a methodology that ensures both leaders and employees are equipped and supported when implementing changes to an organization. The goal of a change management plan, or more accurately an organizational change plan, is to embed processes that have stakeholder buy-in and support the success of both the business and the
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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Adobe introduced its latest iteration of AI image generation, the Firefly Image 3, during the MAX London Creativity Conference. This new model promises significant advancements in photorealism, control, and efficiency. It offers creators enhanced tools to bring their visions to life. Let’s delve into the features and capabilities of this cutting-edge technology.
Make (formerly Integromat) is a workflow automation tool that lets you integrate various services without requiring coding knowledge. With the AssemblyAI app for Make you can use our AI models to process audio data by transcribing it with speech recognition models, analyzing it with audio intelligence models, and building generative features on top of it with LLMs.
Make (formerly Integromat) is a workflow automation tool that lets you integrate various services without requiring coding knowledge. With the AssemblyAI app for Make you can use our AI models to process audio data by transcribing it with speech recognition models, analyzing it with audio intelligence models, and building generative features on top of it with LLMs.
Artificial Intelligence has significantly transformed our daily lives over the past years. It has become an indispensable cornerstone of modern society. From personalized recommendations to predictive analytics, AI has significantly influenced our interactions, decisions, and experiences. This article explores the evolving landscape of AI technology, focusing on the top five AI devices set to revolutionize […] The post Top 5 AI Devices to Use in 2024 appeared first on Analytics Vidhya.
Make (formerly Integromat) is a workflow automation tool that lets you integrate various services together without requiring coding knowledge. We've been working with Make to make our state-of-the-art Speech AI available to no-code and low-code builders. With the AssemblyAI app for Make , you can use our AI models to process audio data by transcribing it with speech recognition models, analyzing it with audio intelligence models, and building generative features on top of it with LLMs.
Introduction As someone deeply immersed in the world of artificial intelligence, I’ve seen firsthand how fine-tuning revolutionizes pre-trained large language models (LLMs). Bridging the gap between general AI training and specific tasks sparked my interest in exploring fine-tuning. Fine-tuning is like specializing in a field after getting a broad education.
NVIDIA announced today its acceleration of Microsoft’s new Phi-3 Mini open language model with NVIDIA TensorRT-LLM , an open-source library for optimizing large language model inference when running on NVIDIA GPUs from PC to cloud. Phi-3 Mini packs the capability of 10x larger models and is licensed for both research and broad commercial usage, advancing Phi-2 from its research-only roots.
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.
Introduction As you may know, large language models (LLMs) are taking the world by storm, powering remarkable applications like ChatGPT, Bard, Mistral, and more. But have you ever wondered what fuels these robust AI systems? The answer lies in the vast datasets used to train them. Just like humans learn from exposure to information, LLMs […] The post 10 Open Source Datasets for LLM Training appeared first on Analytics Vidhya.
The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of results, and enabling investigations into data and model biases, as well as potential risks. To this end, we release OpenELM, a state-of-the-art open language model. OpenELM uses a layer-wise scaling strategy to efficiently allocate parameters within each layer of the transformer model, leading to enhanced accuracy.
Apple has made yet another strategic move in the field of artificial intelligence (AI). The company has recently acquired Datakalab, a French startup specializing in AI compression and computer vision technology. The deal, finalized in December, signals Apple’s commitment to enhancing its on-device AI capabilities. Let’s delve into the details of this acquisition and its […] The post Apple Boosts AI Capabilities with Acquisition of French Startup appeared first on Analytics Vid
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
Introduction Apache Airflow is a powerful platform that revolutionizes the management and execution of Extracting, Transforming, and Loading (ETL) data processes. It offers a scalable and extensible solution for automating complex workflows, automating repetitive tasks, and monitoring data pipelines. This article explores the intricacies of automating ETL pipelines using Apache Airflow on AWS EC2.
Why is it that Google, a company once known for its distinctive “Do no evil” guideline, is now facing the same charges of “surveillance capitalism” as Facebook, a company that never made such claims? Why is it now subject to the same kind of antitrust complaints faced by Microsoft, once the “evil empire” of the previous generation of computing? Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements
Alibaba, in collaboration with Nanyang Technological University and Singapore University of Technology and Design, unveils LLM-R2, an innovative system aimed at enhancing SQL query efficiency. The system incorporates a Large Language Model (LLM) to revolutionize query rewriting, significantly reducing execution times while maintaining accuracy and reliability.
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
As you navigate the vast online world, safeguarding your business’s data against increasingly sophisticated threats is essential. Fortunately, AI is transforming threat detection. This technology learns from patterns and anomalies and enhances its ability to spot potential dangers quickly and accurately. It allows you to not just react to threats but stay one step ahead.
Steve Salvin is the founder and CEO of Aiimi , an AI platform which has been quietly scaling since 2013. Having bootstrapped the company since launch, Steve has grown Aiimi to 8-figure revenues and their tech is used by the likes of the FCA, PwC, and the UK government. Steve has been working in tech since the 80s (even studying AI at university) and is a serial entrepreneur.
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.
Online text recognition models have advanced significantly in recent years due to enhanced model structures and larger datasets. However, mathematical expression (ME) recognition, a more intricate task, has yet to receive comparable attention. Unlike text, MEs have a rigid two-dimensional structure where the spatial arrangement of symbols is crucial.
Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles.
On-device intelligence (ODI) is an emerging technology that combines mobile computing and AI, enabling real-time, customized services without network reliance. ODI holds promise in the Internet of Everything era for applications like medical diagnosis and AI-enhanced motion tracking. Despite ODI’s potential, challenges arise from decentralized user data and privacy concerns.
LexisNexis has launched a ‘second-generation’ upgrade for its legal generative AI Assistant Lexis+ AI. The legal tech giant said that: ‘Utilizing continuous user feedback, the.
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.
In a recent study, a team of researchers from Google DeepMind explored the potential benefits of powerful Artificial Intelligence (AI) assistants as well as the threats to society and ethics. These assistants are characterized as artificial agents with natural language interfaces that are assigned the responsibility of organizing and carrying out user-specified operations across many domains.
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