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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The Shift from Models to Compound AI Systems

BAIR

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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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How Meta’s Llama 3 will impact the future of AI

IBM Journey to AI blog

In January of 2024, Meta CEO Mark Zuckerberg announced in an Instagram video that Meta AI had recently begun training Llama 3. This latest generation of the LLaMa family of large language models (LLMs) follows the Llama 1 models (originally stylized as “LLaMA”) released in February 2023 and Llama 2 models released in July. Though specific details (like model sizes or multimodal capabilities) have not yet been announced, Zuckerberg indicated Meta’s intent to continue to open sou

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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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How to Unit Test Machine Learning Code & Models

Eugene Yan

How it differs from unit testing typical software and some guidelines

More Trending

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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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Meta AI Introduces MAGNET: The First Pure Non-Autoregressive Method for Text-Conditioned Audio Generation

Marktechpost

Recent advancements in self-supervised representation learning, sequence modeling, and audio synthesis have significantly enhanced the performance of conditional audio generation. The prevailing approach involves representing audio signals as compressed representations, either discrete or continuous, upon which generative models are applied. Various works have explored methods, such as applying a Vector Quantized Variational Autoencoder (VQ-VAE) directly on raw waveforms or training conditional

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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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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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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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A beginner’s guide to making beautiful slides for your talks

Ines Montani

I’ve done quite a bit of conference speaking over the years, and I love designing slides and coming up with a new visual theme for each topic. It’s fun and keeps me motivated to put in the work and actually write my talks. People often ask me for tips and tooling recommendations, so in this guide, I’m sharing some of my not-so-secret secrets and three beginner-friendly steps for how you can up your slides game for the upcoming conference season!

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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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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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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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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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The State of Cloud Optimization 2024: Comprehensive Insights

Unite.AI

In today's rapidly evolving cloud landscape, reducing cloud costs while enhancing application performance has become a critical priority for both established enterprises and fast-growing digital native businesses. The “ State of Cloud Optimization 2024 ” report from Granulate, an Intel Company, is a crucial resource in today's cloud-centric IT environment.

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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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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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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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Mistral Next: The Latest GPT-4 Competitor from Mistral AI

Analytics Vidhya

French AI startup Mistral AI has unveiled its latest prototype language model, “Mistral Next,” sparking excitement and curiosity within the tech community. Positioned as a potential competitor to renowned models like GPT-4, Mistral Next promises advanced capabilities and a commitment to ethical conversation. Let’s delve into the details of this new release.

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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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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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Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

AWS Machine Learning Blog

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs). IT teams are responsible for helping the LOB innovate with speed and agility while providing centralized governance and observability. For example, they may need to track the usage of FMs across teams, chargeback costs and provide visibility to the relevant cost center in the LOB.

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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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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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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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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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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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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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How AI Eliminates Common Supply Chain Bottlenecks

Unite.AI

Supply chain bottlenecks can be financially devastating for manufacturers, suppliers and distributors. Artificial intelligence is one of the most promising emerging solutions. Could utilizing AI in supply chain management eliminate disruptions and delays? Ways Supply Chain Bottlenecks Can Appear A supply chain bottleneck — a point where the flow of goods is obstructed — can happen for several reasons. 1.

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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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NVIDIA CEO: Every Country Needs Sovereign AI

NVIDIA

Every country needs to own the production of their own intelligence, NVIDIA founder and CEO Jensen Huang told attendees Monday at the World Governments Summit in Dubai. Huang, who spoke as part of a fireside chat with the UAE’s Minister of AI, His Excellency Omar Al Olama, described sovereign AI — which emphasizes a country’s ownership over its data and the intelligence it produces — as an enormous opportunity for the world’s leaders.