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Mastering Decoder-Only Transformer: A Comprehensive Guide

Analytics Vidhya

Introduction In this blog post, we will explore the Decoder-Only Transformer architecture, which is a variation of the Transformer model primarily used for tasks like language translation and text generation. The Decoder-Only Transformer consists of several blocks stacked together, each containing key components such as masked multi-head self-attention and feed-forward transformations.

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Microsoft unveils Phi-3 family of compact language models

AI News

Microsoft has announced the Phi-3 family of open small language models (SLMs), touting them as the most capable and cost-effective of their size available. The innovative training approach developed by Microsoft researchers has allowed the Phi-3 models to outperform larger models on language, coding, and math benchmarks. “What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the

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Cohere Launches Toolkit to Expedite Generative AI Application Development

Analytics Vidhya

Cohere, a leading figure in AI innovation, has unveiled a new toolkit for enterprise AI. This new toolkit is aimed at speeding up the pace of generative AI application development within the enterprise sphere. It offers developers a comprehensive set of tools and resources to expedite their projects. It further promises to streamline the intricate […] The post Cohere Launches Toolkit to Expedite Generative AI Application Development appeared first on Analytics Vidhya.

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Microsoft to forge AI partnerships with South Korean tech leaders

AI News

Microsoft is set to host top executives from South Korea’s leading technology firms next month to strengthen its AI partnerships. The high-level meeting, dubbed the MS CEO Summit 2024, will be held on 14 May 2024 and feature Microsoft’s founder Bill Gates and Chairman and CEO Satya Nadella. They will engage in closed-door discussions with Kyung Kye-hyun of Samsung, Kwak Noh-jung of SK Hynix, Cho Joo-wan of LG Electronics, and Ryu Young-sang of SK Telecom.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Separation of Concerns: Achieving Breakthrough Synergy in Decision Management

Unite.AI

At its core, software is written to automate functions – fundamentally that is through workflow that orchestrates over actions. The most essential action within software that affects business outcomes are business decisions. But oftentimes, the employee who initially established the guiding rules for a software decision will eventually leave the company – only for their replacement to tweak the criteria and alter the code accordingly.

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Newsletter #33: Make.com Speech AI Integration and Streaming STT Updates

AssemblyAI

Hey 👋, this weekly update contains the latest info on our new product features, tutorials, and our community. Join Us On Discord 🚀 Speech AI Automation with AssemblyAI & Make.com We've launched our  integration with Make.com , which enables users to use AssemblyAI's Speech AI in another popular low-code/no-code service.

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Ray-Ban Meta Smart Glasses Get a Multimodal AI Upgrade

Analytics Vidhya

Ray-Ban Meta Smart Glasses have garnered attention for their sleek design and multifunctionality. The latest addition of multimodal AI enhances the utility of these AI glasses, offering users a seamless blend of technology and fashion. Let’s delve into the details of this innovative update and its implications. Also Read: Here’s the Latest AI-powered VR Glasses […] The post Ray-Ban Meta Smart Glasses Get a Multimodal AI Upgrade appeared first on Analytics Vidhya.

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Overcoming the Top Security Challenges of AI-Driven Low-Code/No Code Development

Unite.AI

Low-code development platforms have changed the way people create custom business solutions, including apps, workflows, and copilots. These tools empower citizen developers and create a more agile environment for app development. Adding AI to the mix has only enhanced this capability. The fact that there aren't enough people at an organization that have the skills (and time) to build the number of apps, automations and so on that are needed to drive innovation forward has given rise to the low-c

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Journey to AI blog

This Earth Day, we are calling for action to conserve our scarcest resource: the planet. To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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AI News Weekly - Issue #382: A Majority of AI decision makers worry about data privacy and security - Apr 25th 2024

AI Weekly

Powered by rws.com In the News 80% of AI decision makers are worried about data privacy and security Organisations are hitting stumbling blocks in four key areas of AI implementation: Increasing trust, Integrating GenAI, Talent and skills, Predicting costs. artificialintelligence-news.com Sponsor When Generative AI Gets It Wrong, TrainAI Helps Make It Right TrainAI provides prompt engineering, response refinement and red teaming with locale-specific domain experts to fine-tune generative AI.

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Hugging Face Launches Open Medical-LLM Leaderboard to Evaluate GenAI in Healthcare

Analytics Vidhya

Generative AI models hold promise for transforming healthcare, but their application raises critical questions about accuracy and reliability. Hugging Face has launched an Open Medical-LLM Leaderboard aiming to address these concerns. It provides a standardized platform to evaluate and compare models’ performance in various medical tasks. Let’s find out how this helps improve healthcare and […] The post Hugging Face Launches Open Medical-LLM Leaderboard to Evaluate GenAI in Healthcar

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Igor Jablokov, Pryon: Building a responsible AI future

AI News

As artificial intelligence continues to rapidly advance, ethical concerns around the development and deployment of these world-changing innovations are coming into sharper focus. In an interview ahead of the AI & Big Data Expo North America , Igor Jablokov, CEO and founder of AI company Pryon , addressed these pressing issues head-on. Critical ethical challenges in AI “There’s not one, maybe there’s almost 20 plus of them,” Jablokov stated when asked about the most cr

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Transforming Telehealth: How AI-Powered Virtual Consultations and Remote Monitoring Are Shaping the Future of Healthcare

Unite.AI

As technology reshapes various industries, healthcare is undergoing some of the most significant transformations. Originally developed to monitor astronauts' health in space, telehealth has emerged as a crucial healthcare tool, particularly during the COVID-19 pandemic. This development has now entered a new phase with the integration of Artificial Intelligence (AI).

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Data privacy examples

IBM Journey to AI blog

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. A school asks parents to verify their identities before giving out student information. These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used.

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Redact PII in Audio with Make and AssemblyAI

AssemblyAI

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.

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Nvidia to Acquire Run:AI

NVIDIA

To help customers make more efficient use of their AI computing resources, NVIDIA today announced it has entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. Customer AI deployments are becoming increasingly complex, with workloads distributed across cloud, edge and on-premises data center infrastructure.

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JP Morgan AI Research Introduces FlowMind: A Novel Machine Learning Approach that Leverages the Capabilities of LLMs such as GPT to Create an Automatic Workflow Generation System

Marktechpost

Automation in modern industries often involves repetitive tasks, but the challenge arises when tasks require flexibility and spontaneous decision-making. Traditional robotic process automation (RPA) systems are designed for static, routine activities, falling short when unpredictability is introduced. These systems are typically confined to predefined workflows, limiting their ability to handle tasks that deviate from standard procedures or require immediate adaptation.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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How to prevent prompt injection attacks

IBM Journey to AI blog

Large language models (LLMs) may be the biggest technological breakthrough of the decade. They are also vulnerable to prompt injections , a significant security flaw with no apparent fix. As generative AI applications become increasingly ingrained in enterprise IT environments, organizations must find ways to combat this pernicious cyberattack. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk.

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OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework

Machine Learning Research at Apple

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.

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How to Use Adobe Firefly Image 3?

Analytics Vidhya

Introduction The world of AI-powered image generation is growing quickly, and Adobe Firefly Image 3 is at the forefront. Adobe Firefly Image 3 enables you to generate high-resolution, actual images or visual diagrams by giving its explanation in a text message. This software works well for you whether you are a developer, artist, or marketer, […] The post How to Use Adobe Firefly Image 3?

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Small and Mighty: NVIDIA Accelerates Microsoft’s Open Phi-3 Mini Language Models

NVIDIA

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.

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Brick & Mortar Retail Relevance: How to Stay Ahead of the Curve

Speaker: Jay Black, Senior Account Executive

Let's set the record straight: in-store retail isn't dead - it's evolving! Faced with the digital age and the demands of omnichannel shopping, some retailers are thriving while others are struggling to adapt. Join Jay Black in this exclusive session as he explores the strategies that set successful stores apart, including: Crafting unique and unforgettable in-store experiences 🛍️ Mastering the art of retail demands 🛒 Navigating inventory challenges in today's climate 📦 an

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Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with a Staggering 480B Parameters

Marktechpost

Snowflake AI Research has launched the Arctic , a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness and accessibility. This model leverages a unique Dense-MoE Hybrid transformer architecture to handle SQL generation, coding, and following instructions efficiently.

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AI transforms the IT support experience

IBM Journey to AI blog

We know that understanding clients’ technical issues is paramount for delivering effective support service. Enterprises demand prompt and accurate solutions to their technical issues, requiring support teams to possess deep technical knowledge and communicate action plans clearly. Product-embedded or online support tools, such as virtual assistants, can drive more informed and efficient support interactions with client self-service.

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Announcing the General Availability of Databricks Asset Bundles

databricks

We're thrilled to announce the General Availability (GA) of Databricks Asset Bundles (DABs). With DABs you can easily bundle resources like jobs.

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KissanAI Unveils Dhenu Llama 3: A Revolutionary Agricultural AI Model

Analytics Vidhya

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.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Climate Tech Startups Integrate NVIDIA AI for Sustainability Applications

NVIDIA

Whether they’re monitoring miniscule insects or delivering insights from satellites in space, NVIDIA-accelerated startups are making every day Earth Day. Sustainable Futures, an initiative within the NVIDIA Inception program for cutting-edge startups, is supporting 750+ companies globally focused on agriculture, carbon capture, clean energy, climate and weather, environmental analysis, green computing, sustainable infrastructure and waste management.

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SenseTime from China Launched SenseNova 5.0: Unleashing High-Speed, Low-Cost Large-Scale Modeling, Challenging GPT-4 Turbo’s Performance

Marktechpost

Artificial intelligence continues evolving, pushing data processing and computational efficiency boundaries. A standout development in this space is the emergence of large-scale AI models that are not just expansive but also uniquely capable of handling complex datasets and multi-faceted tasks with greater precision and speed. These models advance various technologies, from automated reasoning to complex problem-solving across multiple domains.

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Commerce strategy: Ecommerce is dead, long live ecommerce

IBM Journey to AI blog

In today’s dynamic and uncertain landscape, commerce strategy—what we might formerly have referred to as ecommerce strategy—is so much more than it once was. Commerce is a complex journey in which the moment of truth—conversion—takes place. This reality means that every brand in every industry with every business model needs to optimize the commerce experience, and thus the customer experience , to drive conversion rates and revenues.