Sat.Feb 24, 2024 - Fri.Mar 01, 2024

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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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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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professionals

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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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Renewable energy in action: Examples and use cases for fueling the future

IBM Journey to AI blog

As more countries, companies and individuals seek energy sources beyond fossil fuels, interest in renewable energy continues to rise. In fact, world-wide capacity for energy from solar, wind and other renewable sources increased by 50% in 2023. More than 110 countries at the United Nations’ COP28 climate change conference agreed to triple that capacity by 2030, and global investment in clean energy transition hit a record high of USD 1.8 trillion in 2023.

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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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A-Z About Python Arrays

Analytics Vidhya

Introduction Arrays in Python are data structures that can hold multiple values of the same data type. They provide a way to store and manipulate collections of data efficiently. In this article, we will explore how to work with arrays in Python, including creating arrays, accessing and manipulating array elements, performing array operations, working with […] The post A-Z About Python Arrays appeared first on Analytics Vidhya.

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More Trending

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Elon Musk sues OpenAI over alleged breach of nonprofit agreement

AI News

Elon Musk has filed a lawsuit against OpenAI and its CEO, Sam Altman, citing a violation of their nonprofit agreement. The legal battle, unfolding in the Superior Court of California for the County of San Francisco, revolves around OpenAI’s departure from its foundational mission of advancing open-source artificial general intelligence (AGI) for the betterment of humanity.

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4 smart technologies modernizing sourcing strategy

IBM Journey to AI blog

Sourcing is getting smarter. To start, many organizations have already pivoted from a tactical to a strategic sourcing mindset—which can make all the difference when it comes to gaining and retaining a competitive advantage. Why? Because organizations with strategic sourcing mindsets look beyond price and cost savings-centered supplier selection initiatives.

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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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Empathetic AI: Transforming Mental Healthcare and Beyond with Emotional Intelligence

Unite.AI

In an era where technology and humanity increasingly intertwine, the rise of empathetic AI represents a significant step forward in bridging the gap between technology and human emotion. This emerging field, where artificial intelligence is infused with the subtleties of human emotion, signals a shift in how we approach mental health care and beyond, suggesting a future where AI not only comprehends but also sensitively responds to our emotional needs.

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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 Unit Test Machine Learning Code & Models

Eugene Yan

How it differs from unit testing typical software and some guidelines

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What is managed DNS, anyway?

IBM Journey to AI blog

Managed DNS is where a third-party hosts and optimizes your DNS resolution architecture to provide the fastest, most secure, most reliable experience. Perhaps the easiest way to explain it is by looking at the opposite scenario: what if you don’t have a managed DNS service in place? Every query in the Domain Name System (DNS) follows the same logic to resolve IP addresses.

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Here’s How You Can Read JSON Files in Python

Analytics Vidhya

Introduction Navigating through JSON data in Python opens doors to seamless data manipulation and analysis. JSON, or JavaScript Object Notation, is a lightweight data exchange format widely employed online. This guide discusses the significance of reading JSON files within Python’s versatile ecosystem. Discover various methods, from leveraging the JSON module to utilizing Pandas and best […] The post Here’s How You Can Read JSON Files in Python appeared first on Analytics Vidhy

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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 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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What Is Trustworthy AI?

NVIDIA

Artificial intelligence, like any transformative technology, is a work in progress — continually growing in its capabilities and its societal impact. Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change. What Is Trustworthy AI? Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it.

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How IBM is helping accelerate AI adoption and application centric connectivity

IBM Journey to AI blog

This week, as thousands of network operators, technology vendors, and mobile device providers from all over the world converge on Barcelona for Mobile World Congress , it’s the perfect time to discuss how IBM® is shaping the future of network operations and telecommunications. Outside the glitz of new phones, connected cars and 5G with everything, there are some real challenges the industry must address.

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Stability AI Introduces Stable Diffusion 3: Next-Gen Advancements in AI Imagery

Analytics Vidhya

Stability AI has announced the arrival of Stable Diffusion 3, the latest advancement in AI imagery technology. This new model promises significant improvements in text-to-image generation, boasting enhanced performance and quality. As the anticipation builds around Stable Diffusion 3, let’s delve into the key features and advancements of this innovative AI model.

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The University of Calgary Unleashes Game-Changing Structured Sparsity Method: SRigL

Marktechpost

In artificial intelligence, achieving efficiency in neural networks is a paramount challenge for researchers due to its rapid evolution. The quest for methods minimizing computational demands while preserving or enhancing model performance is ongoing. A particularly intriguing strategy lies in optimizing neural networks through the lens of structured sparsity.

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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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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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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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Microsoft Invests in Mistral AI to Launch GPT-4 Rival

Analytics Vidhya

In a significant move within the AI industry, Microsoft has forged a strategic partnership with Mistral AI, to revolutionize generative artificial intelligence. The first outcome of their partnership is Mistral Large, a language model proven to be as good as OpenAI’s GPT-4. This partnership signals a paradigm shift in the landscape of AI innovation.

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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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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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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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And … Action! Cuebric CEO Provides Insights Into Filmmaking Using AI

NVIDIA

These days, just about everyone is a content creator. But can generative AI help make people create high-quality films and other content affordably? Find out from Pinar Seyhan Demirdag, cofounder and CEO of Cuebric , during his conversation with NVIDIA AI Podcast host Noah Kravitz. Cuebric is on a mission to offer new solutions in filmmaking and content creation through immersive, two-and-a-half-dimensional cinematic environments.

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Revisit History with MyLens AI

Analytics Vidhya

Introduction Have you ever wished to go back in time and explore the depths of history with a simple click? Well, now you can, thanks to the innovative tool called MyLens AI. Let me take you on a fascinating voyage through the corridors of time, where AI meets history to create an enriching experience like […] The post Revisit History with MyLens AI appeared first on Analytics Vidhya.

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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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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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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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Live at GTC: Hear From Industry Leaders Using AI to Drive Innovation and Agility

NVIDIA

Interest in new AI applications reached a fever pitch last year as business leaders began exploring AI pilot programs. This year, they’re focused on strategically implementing these programs to create new value and sharpen their competitive advantage. GTC , NVIDIA’s conference on AI and accelerated computing, set for March 18-21 at the San Jose Convention Center, will feature leaders across a broad swath of industries discussing how they’re charting the path to AI-driven innovation.

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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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