February, 2024

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LinkedIn’s New AI Chatbot Wants to Help You Find a Job

Analytics Vidhya

LinkedIn, the professional networking platform, is harnessing the power of artificial intelligence (AI) to redefine the job search experience and streamline networking efforts. With new AI-powered features, LinkedIn aims to offer personalized assistance to users navigating the competitive job market and seeking to expand their professional connections.

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Mimicking Insect Brains: A Leap Forward in Efficient Robotics

Unite.AI

In the vast expanse of nature, some of the most profound inspirations come from the smallest of creatures. Insects, often overlooked due to their diminutive size, are in fact marvels of navigation and efficiency. Their ability to maneuver through complex environments with a brain no larger than a pinhead has long intrigued scientists and engineers alike.

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DeepMind framework offers breakthrough in LLMs’ reasoning

AI News

A breakthrough approach in enhancing the reasoning abilities of large language models (LLMs) has been unveiled by researchers from Google DeepMind and the University of Southern California. Their new ‘SELF-DISCOVER’ prompting framework – published this week on arXiV and Hugging Face – represents a significant leap beyond existing techniques, potentially revolutionising the performance of leading models such as OpenAI’s GPT-4 and Google’s PaLM 2.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Remember how cool it felt when you first held a smartphone in your hand? The compact design and touch-based interactivity seemed like a leap into the future. Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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How to Unit Test Machine Learning Code & Models

Eugene Yan

How it differs from unit testing typical software and some guidelines

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Microsoft Reveals How Hackers Are Using GenAI Tools

Analytics Vidhya

Microsoft, in collaboration with OpenAI, has revealed a concerning trend in the realm of cybersecurity: the utilization of generative artificial intelligence (GenAI) by hostile states for offensive cyber operations. Highlighting the involvement of countries such as Iran, North Korea, Russia, and China, Microsoft sheds light on the evolving landscape of cyber warfare.

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The State of Multilingual LLMs: Moving Beyond English

Unite.AI

According to Microsoft research, around 88% of the world's languages , spoken by 1.2 billion people, lack access to Large Language Models (LLMs). This is because most LLMs are English-centered, i.e., they are mostly built with English data and for English speakers. ​This English dominance also prevails in LLM development and has resulted in a digital language gap, potentially excluding most people from the benefits of LLMs.

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UK and France to collaborate on AI following Horizon membership

AI News

The UK and France have announced new funding initiatives and partnerships aimed at advancing global AI safety. The developments come in the wake of the UK’s association with Horizon Europe , a move that was broadly seen as putting the divisions of Brexit in the past and the repairing of relations for the good of the continent. French Minister for Higher Education and Research, Sylvie Retailleau, is scheduled to meet with UK Secretary of State Michelle Donelan in London today for discussion

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MuLan: Pioneering Precision in Text-to-Image Synthesis with Progressive Multi-Object Generation

Marktechpost

Navigating the intricate landscape of generative AI, particularly in the text-to-image (T2I) synthesis domain, presents a formidable challenge: accurately generating images depicting multiple objects, each with specific spatial relationships and attributes. Despite their remarkable capabilities, traditional state-of-the-art models, such as Stable Diffusion and DALL-E 3, often stumble when faced with complex prompts requiring precise control over multiple objects’ spatial arrangement and in

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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How to Generate Synthetic Data for Pretraining and Finetuning

Eugene Yan

Distillation vs. self-improvement across the three stages of language model training.

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FOMO Alert: Discover 7 Unmissable Reasons to Attend GTC 2024

NVIDIA

“I just got back from GTC and ….” In four weeks, those will be among the most powerful words in your industry. But you won’t be able to use them if you haven’t been here. NVIDIA’s GTC 2024 transforms the San Jose Convention Center into a crucible of innovation, learning and community from March 18-21, marking a return to in-person gatherings that can’t be missed.

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Understanding the Python Global Interpreter Lock (GIL)

Analytics Vidhya

Introduction Python is a popular programming language known for its simplicity and versatility. However, it has a unique feature called the Global Interpreter Lock (GIL) that sets it apart from other languages. In this article, we will delve into the details of the GIL, its purpose, and its impact on Python’s performance. What is the […] The post Understanding the Python Global Interpreter Lock (GIL) appeared first on Analytics Vidhya.

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AI-Driven Healthcare Revolution: MWC Conference Insights

Unite.AI

In an era where technology intertwines with every aspect of our lives, the realm of healthcare stands on the brink of a monumental transformation, poised at the heart of the AI-driven health revolution. The recent MWC Conference , short for Mobile World Congress, is the world's largest exhibition and conference for the mobile industry, served as a vibrant forum for this unfolding narrative, hosting a panel discussion aptly titled “ Changing Health: The AI Revolution in Healthcare. ”

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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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Video generation models as world simulators

OpenAI

We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high fidelity video.

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UC Berkeley Researchers Unveil LoRA+: A Breakthrough in Machine Learning Model Finetuning with Optimized Learning Rates for Superior Efficiency and Performance

Marktechpost

In deep learning, the quest for efficiency has led to a paradigm shift in how we finetune large-scale models. The research spearheaded by Soufiane Hayou, Nikhil Ghosh, and Bin Yu from the University of California, Berkeley, introduces a significant enhancement to the Low-Rank Adaptation (LoRA) method, termed LoRA+. This novel approach is designed to optimize the finetuning process of models characterized by their vast number of parameters, which often run into the tens or hundreds of billions.

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Using analytics for rare disease treatment: Unveiling opportunities for advancements

SAS Software

Rare diseases, often called orphan diseases, affect a small percentage of the population. Despite their rarity, these diseases collectively impact millions worldwide. Being a health care professional who cares deeply about overall patient care, the challenges in diagnosing and treating rare diseases resonate profoundly with me. Limited data availability, dispersed [.

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Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs

NVIDIA

NVIDIA, in collaboration with Google, today launched optimizations across all NVIDIA AI platforms for Gemma — Google’s state-of-the-art new lightweight 2 billion – and 7 billion -parameter open language models that can be run anywhere, reducing costs and speeding innovative work for domain-specific use cases. Teams from the companies worked closely together to accelerate the performance of Gemma — built from the same research and technology used to create the Gemini models — with NVIDIA Te

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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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Top Data Science Specializations for 2024

Analytics Vidhya

Introduction Data Science is everywhere in the 21st century and has emerged as an innovative field. But what exactly is Data Science? And why should one consider specializing in it? This blog post aims to answer these questions and more. Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to […] The post Top Data Science Specializations for 2024 appeared first on Analytics Vidhya.

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Figure AI’s Journey to Robotics Dominance with BMW, Microsoft, and OpenAI Support

Unite.AI

In the dynamic landscape of robotics and artificial intelligence, Figure AI has emerged as a trailblazer with its groundbreaking humanoid robots. As a pioneer in the industry, the company is drawing significant attention for its innovative approach to robotics, particularly in the realm of autonomous humanoid workers. Figure AI's recent developments, including a strategic partnership with BMW and substantial funding talks, signal a transformative shift not only in the robotics sector but also ac

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Announcing Public Preview of Delta Sharing with Cloudflare R2 Integration

databricks

Special thanks to Phillip Jones, Senior Product Manager, and Harshal Brahmbhatt, Systems Engineer from Cloudflare for their contributions to this blog. Organizations across.

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Researchers from the University of Pennsylvania and Vector Institute Introduce DataDreamer: An Open-Source Python Library that Allows Researchers to Write Simple Code to Implement Powerful LLM Workflow

Marktechpost

The deployment of large language models (LLMs) has become central to many applications, from synthetic data generation to fine-tuning models for specific tasks. With their vast capabilities, these models have opened new frontiers in research and application development. Yet, the adoption of LLMs has its challenges. The complexity of managing these models and the technical and financial barriers associated with their operation present significant challenges.

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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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CERN Proposes Massive $15B Supercollider to Find Hidden 95% of Universe

Extreme Tech

Three times bigger than the world’s current largest particle accelerator, the Future Circular Collider would focus on tracking down dark matter and dark energy.

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Say What? Chat With RTX Brings Custom Chatbot to NVIDIA RTX AI PCs

NVIDIA

Chatbots are used by millions of people around the world every day, powered by NVIDIA GPU-based cloud servers. Now, these groundbreaking tools are coming to Windows PCs powered by NVIDIA RTX for local, fast, custom generative AI. Chat with RTX , now free to download , is a tech demo that lets users personalize a chatbot with their own content, accelerated by a local NVIDIA GeForce RTX 30 Series GPU or higher with at least 8GB of video random access memory, or VRAM.

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Apple Develops New ChatGPT Rival: Ask AI

Analytics Vidhya

Apple is venturing into the realm of artificial intelligence with its latest offering, ‘Ask’ AI. This innovative tool, reminiscent of ChatGPT, is poised to transform customer support services, offering efficient solutions to user queries. Let’s delve into the intricacies of this promising initiative and its implications for Apple users.

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MWC 2024 in Barcelona: Anticipating the Future

Unite.AI

As the Mobile World Congress (MWC) 2024 approaches, the tech world buzzes with anticipation, setting the stage in the vibrant city of Barcelona, Spain. This event, a pinnacle for mobile innovation, promises to showcase a spectrum of cutting-edge technologies that are poised to redefine our digital experience. As we embark on this series, “MWC Conference Series,” we aim to unravel the tapestry of advancements, focusing on AI's pivotal role in revolutionizing products across the board,

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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Size Matters: How Big Is Too Big for An LLM?

Towards AI

Last Updated on February 24, 2024 by Editorial Team Author(s): Dr. Leon Eversberg Originally published on Towards AI. Compute-optimal large language models according to the Chinchilla paperThe evolution of GPT’s number of parameters over time. Large Language Models (LLMs) have grown rapidly in size over the past few years. As shown in the graph above, GPT-1 was released in 2018 with 117 million parameters.

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Microsoft Research Introduces GraphRAG: A Unique Machine Learning Approach that Improves Retrieval-Augmented Generation (RAG) Performance Using Large Language Model (LLM) Generated Knowledge Graphs

Marktechpost

Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. These models have utilized the power of Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision to dive into almost every industry. However, extending the potent powers of Large Language Models beyond the data that they are trained on has proven to be one of the biggest problems in the field of Language Model research.

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3 big AI trends to watch in 2024

Microsoft AI

AI is expected to become more accessible, nuanced and integrated in technologies that help people. Here are three AI trends to watch in 2024.

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