Sat.Jul 20, 2024

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The Psychology of Human-AI Collaboration in Customer Service Teams

Analytics Vidhya

Introduction Earlier this year, Klarna announced that they replaced 700 customer support professionals with artificial intelligence (AI) chatbots. This announcement raised a lot of questions, like, if AI could manage the works of so many customer service agents, was the industry heading towards an inevitable collapse? Now that some time has passed, we need to […] The post The Psychology of Human-AI Collaboration in Customer Service Teams appeared first on Analytics Vidhya.

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DeepSeek-V2-0628 Released: An Improved Open-Source Version of DeepSeek-V2

Marktechpost

DeepSeek has recently released its latest open-source model on Hugging Facel, DeepSeek-V2-Chat-0628. This release marks a significant advancement in AI-driven text generation and chatbot technology capabilities, positioning DeepSeek at the forefront of the industry. DeepSeek-V2-Chat-0628 is an enhanced iteration of the previous DeepSeek-V2-Chat model.

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Generative AI Interview Questions

Analytics Vidhya

Introduction Generative AI is a newly developed field that is booming exponentially with job opportunities. Companies are looking for candidates with both the necessary technical abilities and real-world experience building AI models. This list of interview questions includes descriptive answer questions, short answer questions, and MCQs that will prepare you well for any generative AI […] The post Generative AI Interview Questions appeared first on Analytics Vidhya.

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ZebraLogic: A Logical Reasoning AI Benchmark Designed for Evaluating LLMs with Logic Puzzles

Marktechpost

Large language models (LLMs) demonstrate proficiency in information retrieval and creative writing, with notable improvements in mathematics and coding. ZebraLogic , a benchmark consisting of Logic Grid Puzzles, assesses LLMs’ logical reasoning capabilities. Each puzzle presents N houses with M features, requiring unique value assignments based on given clues.

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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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Emotional Intelligence in AI Marketing: Crafting Authentic Brand Communication

Aiiot Talk

Artificial intelligence (AI) has come a long way since its inception. It has reached the point where its conversational skills and generative capabilities are believable — but can you use it to craft authentic brand communication? What Is Emotional Intelligence in Marketing? Emotional intelligence is the ability to manage your feelings and understand others’ emotions.

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AI-Enhanced Calibration: Redefining Accuracy in Metrological Instruments

Aiiot Talk

Industries like aviation engineering, pharmaceutics and automotive manufacturing are beginning to rely on artificial intelligence for metrological instrument calibration, valuing it for its unparalleled accuracy and efficiency. How will this technology reshape conventional practices? AI’s Role in Metrological Instrument Calibration It shouldn’t be surprising that AI has applications in metrology — the science of measurement — since its versatility and market value are unrivaled.

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Researchers from the University of Auckland Introduced ChatLogic: Enhancing Multi-Step Reasoning in Large Language Models with Over 50% Accuracy Improvement in Complex Tasks

Marktechpost

Large language models (LLMs) have showcased remarkable capabilities in generating content and solving complex problems across various domains. However, a notable challenge persists in their ability to perform multi-step deductive reasoning. This type of reasoning requires a coherent and logical thought process over extended interactions, which current LLMs need help with due to their training methodologies.

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7 Generative AI trends to watch out for in 2024

How to Learn Machine Learning

Hello dear reader! In this article you will learn about 7 of the top Generative AI Trends to watch out for in this year, so please please sit back relax, enjoy, and learn! Generative AI is an innovative technology that has revolutionized the tech world. It falls under machine learning and uses deep learning algorithms and programs to create music, art, and other creative content based on the user’s input.

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Exploring the Impact of ChatGPT’s AI Capabilities and Human-like Traits on Enhancing Knowledge and User Satisfaction in Workplace Environments

Marktechpost

Conversational AI systems like ChatGPT have gained considerable attention among the various AI advancements. These systems utilize advanced machine learning algorithms and natural language processing to assist users in numerous tasks, such as drafting emails, conducting research, and providing detailed information. The proliferation of such AI tools significantly transforms how office tasks are executed, contributing to a more efficient and productive work environment.

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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.

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The Impact of Machine Learning and AI in Advancing OCR

How to Learn Machine Learning

TLDR: The following article is a comprehensive guide of AI powered OCR. Do you remember the first time you saw magic happen on your mobile screen when an image containing text turned into editable text? That’s Optical Character Recognition – OCR at work. OCR has been around for years, but its superb capabilities have improved recently, thanks to machine learning & artificial intelligence.

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Together AI Unveils Revolutionary Inference Stack: Setting New Standards in Generative AI Performance

Marktechpost

Together AI has unveiled a groundbreaking advancement in AI inference with its new inference stack. This stack, which boasts a decoding throughput four times faster than the open-source vLLM, surpasses leading commercial solutions like Amazon Bedrock, Azure AI, Fireworks, and Octo AI by 1.3x to 2.5x. The Together Inference Engine, capable of processing over 400 tokens per second on Meta Llama 3 8B, integrates the latest innovations from Together AI, including FlashAttention-3, faster GEMM and MH

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Are We Ready for Multi-Image Reasoning? Launching VHs: The Visual Haystacks Benchmark!

BAIR

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How can Informal Reasoning Improve Formal Theorem Proving? This AI Paper Introduces an AI Framework for Learning to Interleave Informal Thoughts with Steps of Formal Proving

Marktechpost

Traditional methods, relying solely on formal proof data, overlook valuable informal reasoning processes crucial to human mathematicians. The absence of natural language thought processes in formal proofs creates a significant gap between human reasoning and machine-driven proofs. Existing language models specialized for generating tactics in formal mathematics often fail to leverage the benefits of thought augmentation fully.

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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models from Google

Bugra Akyildiz

Article This paper presents Google's search ads click-through rate (CTR) prediction system, offering insights into the challenges and solutions for large-scale industrial recommender systems. The CTR prediction model described has billions of weights, trains on over 100 billion examples, and performs inference at more than 100,000 requests per second.

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Pinokio 2.0: A New Pinokio Browser Version that Lets You Locally Install, Run, and Automate Any AI on Your Computer

Marktechpost

Using offline web apps and AI apps often comes with challenges. Users typically need to navigate multiple steps to get an app running. These steps can be confusing and time-consuming, especially for those who are not tech-savvy. Additionally, managing and customizing these apps often requires manual editing of files, making the process even more cumbersome.

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Evaluating the Robustness and Fairness of Instruction-Tuned LLMs in Clinical Tasks: Implications for Performance Variability and Demographic Fairness

Marktechpost

Instruction-tuned LLMs can handle various tasks using natural language instructions, but their performance is sensitive to how instructions are phrased. This issue is critical in healthcare, where clinicians, who may need to be more skilled, prompt engineers, need reliable outputs. The robustness of LLMs to variations in clinical task instructions is thus questioned.

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DiT-MoE: A New Version of the DiT Architecture for Image Generation

Marktechpost

Recently, diffusion models have become powerful tools in various fields, like image and 3D object generation. Their success comes from their ability to handle denoising tasks with different types of noise, efficiently turning random noise into the target data distribution through repeated denoising steps. Using Transformer-based structures, it has been shown that adding more parameters usually improves performance.

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Trial Prep: What Attorneys Really Want (And How to Deliver It)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

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Google Research Presents a Novel AI Method for Genetic Discovery that can Harness Hidden Information in High-Dimensional Clinical Data

Marktechpost

High-dimensional clinical data (HDCD) refers to datasets in healthcare where the number of variables (or features) is significantly larger than the number of patients (or observations). As the number of variables increases, the data space grows exponentially, requiring substantial computational resources that make it difficult to process and analyze.

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Efficient Quantization-Aware Training (EfficientQAT): A Novel Machine Learning Quantization Technique for Compressing LLMs

Marktechpost

As LLMs become increasingly integral to various AI tasks, their massive parameter sizes lead to high memory requirements and bandwidth consumption. While quantization-aware training (QAT) offers a potential solution by allowing models to operate with lower-bit representations, existing methods often require extensive training resources, making them impractical for large models.

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This AI Paper from Google AI Introduces FLAMe: A Foundational Large Autorater Model for Reliable and Efficient LLM Evaluation

Marktechpost

Evaluating large language models (LLMs) has become increasingly challenging due to their complexity and versatility. Ensuring the reliability and quality of these models’ outputs is crucial for advancing AI technologies and applications. Researchers need help developing reliable evaluation methods to assess the accuracy and impartiality of LLMs’ outputs, given human evaluations’ subjective, inconsistent, and costly nature.

LLM 101
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MUSE: A Comprehensive AI Framework for Evaluating Machine Unlearning in Language Models

Marktechpost

Language models (LMs) face significant challenges related to privacy and copyright concerns due to their training on vast amounts of text data. The inadvertent inclusion of private and copyrighted content in training datasets has led to legal and ethical issues, including copyright lawsuits and compliance requirements with regulations like GDPR. Data owners increasingly demand the removal of their data from trained models, highlighting the need for effective machine unlearning techniques.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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