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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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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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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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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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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Climate change predictions: Anticipating and adapting to a warming world

IBM Journey to AI blog

In an era of accelerating climate change , predicting the near-future can yield major benefits. For instance, when utility officials are aware that a heat wave is on its way, they can plan energy procurement to prevent power outages. When farmers in drought-prone regions are able to predict which crops are susceptible to failure , they can deploy additional irrigation.

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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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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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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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NVIDIA Researchers Introduce Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities

Marktechpost

The exploration of augmenting large language models (LLMs) with the capability to understand and process audio, including non-speech sounds and non-verbal speech, is a burgeoning field. This area of research aims to extend the applicability of LLMs from interactive voice-responsive systems to sophisticated audio analysis tools. The challenge, however, lies in developing models that can effectively comprehend audio inputs beyond mere speech transcription.

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How Blackbox AI Can Solve All Your Coding Problems

Analytics Vidhya

Introduction Stuck on a coding problem? Need a fresh perspective on your project? Blackbox.ai is your new AI-powered coding assistant, ready to supercharge your development workflow. Whether you’re seeking code suggestions in real-time, want to chat about complex concepts, or require assistance writing entire sections, Blackbox has you covered.

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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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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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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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Real-Time Sentiment Analysis with Kafka and PySpark

Towards AI

Last Updated on February 29, 2024 by Editorial Team Author(s): Hira Akram Originally published on Towards AI. Diagram by author As technology continues to advance, the generation of data increases exponentially. In this dynamically changing landscape, businesses must pivot towards data-driven models to maintain a competitive edge. Time emerges as a critical factor in this equation, where the ability to make timely decisions surpasses all other strategies.

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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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This AI Paper from China Introduces SegMamba: A Novel 3D Medical Image Segmentation Mamba Model Designed to Effectively Capture Long-Range Dependencies within Whole Volume Features at Every Scale

Marktechpost

Enhancing the receptive field of models is crucial for effective 3D medical image segmentation. Traditional convolutional neural networks (CNNs) often struggle to capture global information from high-resolution 3D medical images. One proposed solution is the utilization of depth-wise convolution with larger kernel sizes to capture a wider range of features.

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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 Use Gemma LLM?

Analytics Vidhya

Introduction Large language models (LLMs) are increasingly becoming powerful tools for understanding and generating human language. These models have achieved state-of-the-art results on different natural language processing tasks, including text summarization, machine translation, question answering, and dialogue generation. LLMs have even shown promise in more specialized domains, like healthcare, finance, and law.

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How AI Innovation Can Break Down Barriers in the Crisis of Late Diagnosis of Autism in Children

Unite.AI

The medical community agrees that, for children with developmental delays such as autism, early is everything. Early diagnosis and early interventions have been shown to make life-changing differences. With as many as 25% of children at risk for a developmental delay in the U.S. alone, there is no debate that it is our duty as a nation to provide early, accessible, and equitable care for all children and their families.

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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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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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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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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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Google DeepMind Researchers Unveil a Groundbreaking Approach to Meta-Learning: Leveraging Universal Turing Machine Data for Advanced Neural Network Training

Marktechpost

Meta-learning, a burgeoning field in AI research, has made significant strides in training neural networks to adapt swiftly to new tasks with minimal data. This technique centers on exposing neural networks to diverse tasks, thereby cultivating versatile representations crucial for general problem-solving. Such varied exposure aims to develop universal capabilities in AI systems, an essential step toward the grand vision of artificial general intelligence (AGI).

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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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Scalability Challenges in Microservices Architecture: A DevOps Perspective

Unite.AI

As the digital user base expands globally, it is increasingly important for software enterprises to ensure that their applications and products are designed to handle large and growing amounts of data and traffic. It is also essential for these systems to be scalable and have the ability to handle a large and increased workload or amount of data in both linear and non-linear fashions.

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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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Battle.net Leaps Into the Cloud With GeForce NOW

NVIDIA

GFN Thursday celebrates this leap day with the addition of a popular game store to the cloud. Stream the first titles from Blizzard Entertainment’s Battle.net, including Diablo IV, Overwatch 2, Call of Duty HQ and Hearthstone , now playable across more devices than ever. They’re all part of the 30 new games coming to GeForce NOW in March, with eight available this week.

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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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India’s schoolteachers are drafting better lesson plans faster, thanks to a copilot

Microsoft AI

Sikshana Foundation and Microsoft Research India created an AI copilot to help government schoolteachers create better lesson plans, faster.

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