Thu.Mar 28, 2024

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Mora: An Open Source Alternative to Sora

Analytics Vidhya

Introduction Generative AI, in its essence, is like a wizard’s cauldron, brewing up images, text, and now videos from a set of ingredients known as data. The magic lies in its ability to learn from this data and generate new, previously unseen content strikingly similar to the real thing. Image generation models like DALL-E have […] The post Mora: An Open Source Alternative to Sora appeared first on Analytics Vidhya.

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The Fusion of Robotics, AI, and AR/VR: A 2024 Revolution in Manufacturing

Unite.AI

In 2024, the manufacturing industry is currently at the doorstep of a transformational era, one marked by the seamless integration of robotics, artificial intelligence (AI), and augmented reality/virtual reality (AR/VR). This fusion is not merely a technological trend but a paradigm shift reshaping how materials are produced, processes are optimized, and workers interact with machinery.

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12 Best Free Deep Learning eBooks

Analytics Vidhya

Deep learning is a powerful tool of artificial intelligence that’s changing many things. It is essential to have a good knowledge of Deep Learning, if you are aiming to make a career in AI. To make your life easy, we have made a list of some common Deep Learning ebooks, that you must read. This […] The post 12 Best Free Deep Learning eBooks appeared first on Analytics Vidhya.

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Private cloud use cases: 6 ways private cloud brings value to enterprise business

IBM Journey to AI blog

As cloud computing continues to transform the enterprise workplace, private cloud infrastructure is evolving in lockstep, helping organizations in industries like healthcare, government and finance customize control over their data to meet compliance, privacy, security and other business needs. According to a report from Future Market Insights (link resides outside ibm.com), the global private cloud services market is forecast to grow to USD 405.30 billion by 2033, up from USD 92.64 billion in 2

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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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Build an AI Coding Agent with LangGraph by LangChain

Analytics Vidhya

Introduction There has been a massive surge in applications using AI coding agents. With the increasing quality of LLMs and decreasing cost of inference, it’s only getting easier to build capable AI agents. On top of this, the tooling ecosystem is evolving rapidly, making it easier to build complex AI coding agents. The Langchain framework […] The post Build an AI Coding Agent with LangGraph by LangChain appeared first on Analytics Vidhya.

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Step-by-Step Guide to Training ML Model with No Code

Analytics Vidhya

Machine learning (ML) can seem complex, but what if you could train a model without writing any code? This guide unlocks the power of ML for everyone by demonstrating how to train a ML model with no code. Dataset Used The Iris dataset is a classic in the field of machine learning, offering a straightforward […] The post Step-by-Step Guide to Training ML Model with No Code appeared first on Analytics Vidhya.

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AI News Weekly - Issue #378: Top AI Books to Read in 2024 - Mar 28th 2024

AI Weekly

Powered by global.ntt In the News Top Artificial Intelligence Books to Read in 2024 Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. marktechpost.com Sponsor GenAI can transform business operations GenAI presents immense opportunities for innovation, personalized customer experiences and streamlined operations.

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A Comprehensive Guide For SVM One-Class Classifier For Anomaly Detection

Analytics Vidhya

Introduction The One-Class Support Vector Machine (SVM) is a variant of the traditional SVM. It is specifically tailored to detect anomalies. Its primary aim is to locate instances that notably deviate from the standard. Unlike conventional Machine Learning models focused on binary or multiclass classification, the one-class SVM specializes in outlier or novelty detection within […] The post A Comprehensive Guide For SVM One-Class Classifier For Anomaly Detection appeared first on Analytic

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TacticAI: Leveraging AI to Elevate Football Coaching and Strategy

Unite.AI

Football, also known as soccer, stands out as one of the most widely enjoyed sports globally. Beyond the physical skills displayed on the field, it's the strategic nuances that bring depth and excitement to the game. As former German football striker Lukas Podolsky famously remarked, “Football is like chess, but without the dice.” DeepMind, known for its expertise in strategic gaming with successes in Chess and Go , has partnered with Liverpool FC to introduce TacticAI.

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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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Optimize Resource Usage with the Mixture of Experts and Grok-1

Analytics Vidhya

Introduction Large Language models (LLMs) can generate coherent and contextually relevant text since they are trained on extensive datasets and leveraging billions of parameters. This immense scale endows LLMs with emergent properties, such as nuanced understanding and generation capabilities across domains surpassing simpler models. However, these advantages come at the cost of high computational requirements […] The post Optimize Resource Usage with the Mixture of Experts and Grok-1 appe

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Accelerating Large Language Model Inference: Techniques for Efficient Deployment

Unite.AI

Large language models (LLMs) like GPT-4, LLaMA , and PaLM are pushing the boundaries of what's possible with natural language processing. However, deploying these massive models to production environments presents significant challenges in terms of computational requirements, memory usage, latency, and cost. As LLMs continue to grow larger and more capable, optimizing their inference performance is critical for real-world applications.

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Guide to Face Recognition at Massive Scale with Partial FC

Analytics Vidhya

Introduction When it comes to face recognition, researchers are constantly pushing the boundaries of accuracy and scalability. However, a significant challenge arises with the exponential growth of identities juxtaposed with the finite capacity of GPU memory. Previous studies have primarily focused on refining loss functions for facial feature extraction networks, with softmax-based loss functions driving […] The post Guide to Face Recognition at Massive Scale with Partial FC appeared firs

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Top Artificial Intelligence Books to Read in 2024

Marktechpost

Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. With such widespread adoption, feeling left out of this revolution is not uncommon. One way an individual can stay updated with the latest trends is by reading books on various facets of AI.

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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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PII Detection and Masking in RAG Pipelines

Analytics Vidhya

Introduction In today’s data-driven world, safeguarding Personally Identifiable Information (PII) is paramount. PII encompasses data like names, addresses, phone numbers, and financial records, vital for individual identification. With the rise of artificial intelligence and its vast data processing capabilities, protecting PII while harnessing its potential for personalized experiences is crucial.

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Researchers at Rutgers University Propose AIOS: An LLM Agent Operating System that Embeds Large Language Model into Operating Systems (OS) as the Brain of the OS

Marktechpost

Artificial intelligence (AI) has introduced a dynamic shift in various sectors, most notably by deploying autonomous agents capable of independent operation and decision-making. These agents, powered by large language models (LLMs), have significantly broadened the scope of tasks that can be automated, ranging from simple data processing to complex problem-solving scenarios.

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Guide to Migrating from Databricks Delta Lake to Apache Iceberg

Analytics Vidhya

Introduction In the fast changing world of big data processing and analytics, the potential management of extensive datasets serves as a foundational pillar for companies for making informed decisions. It helps them to extract useful insights from their data. A variety of solutions has been emerged in past few years , such as Databricks Delta […] The post Guide to Migrating from Databricks Delta Lake to Apache Iceberg appeared first on Analytics Vidhya.

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OpenAI Enhances Language Models with Fill-in-the-Middle Training: A Path to Advanced Infilling Capabilities

Marktechpost

Transformer-based language models, like BERT and T5, are adept at various tasks but struggle with infilling—generating text within a specific location while considering both preceding and succeeding contexts. Though encoder-decoder models can handle suffixes, their training data typically includes shorter infill regions than practical ones. However, causal decoder-based models, such as GPT-3 and its successors, excel in open-ended text generation and in-context learning without task-specific fin

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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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Is OpenAI’s Sora Ready to Enter Hollywood?

Analytics Vidhya

OpenAI is making waves in Hollywood with Sora. Imagine being able to generate short movies just by describing them in plain English! That’s precisely what Sora showcased in its recent video releases. Sora has the potential to revolutionize filmmaking by giving artists and directors a powerful new tool to explore their creativity. Sora is at its […] The post Is OpenAI’s Sora Ready to Enter Hollywood?

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Efficiency Breakthroughs in LLMs: Combining Quantization, LoRA, and Pruning for Scaled-down Inference and Pre-training

Marktechpost

In recent years, LLMs have transitioned from research tools to practical applications, largely due to their increased scale during training. However, as most of their computational resources are consumed during inference, efficient pretraining and inference are crucial. Post-training techniques like quantization, Low-Rank Adapters (LoRA), and pruning offer ways to reduce memory usage and inference time.

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Vidhya Chandrasekaran’s Journey from Kitchen to Google

Analytics Vidhya

At Analytics Vidhya, we’re celebrating the Women of Data Science by highlighting their remarkable journeys and achievements on our blog throughout March. We believe their stories can inspire, uplift, and empower others. Today, we have the privilege of featuring Vidhya Chandrasekaran. Let’s delve into her inspiring story! Vidhya Chandrasekaran’s Journey in her own Words I […] The post Vidhya Chandrasekaran’s Journey from Kitchen to Google appeared first on Analytics Vidhya.

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AI21 Labs Breaks New Ground with ‘Jamba’: The Pioneering Hybrid SSM-Transformer Large Language Model

Marktechpost

In an era where the demand for smarter, faster, and more efficient artificial intelligence (AI) solutions is continuously on the rise, AI21 Labs’ unveiling of Jamba marks a significant leap forward. Jamba, a pioneering SSM-Transformer model, heralds a new chapter in AI technology by melding the Mamba Structured State Space model (SSM) with the proven efficiency of the traditional Transformer architecture, setting a new benchmark for performance and efficiency in large language models (LLMs

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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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James Webb Space Telescope Snaps Its First Image of a Protoplanetary Disk

Extreme Tech

Astronomers hoped the telescope would be able to see the seeds of exoplanets, but even Webb isn't powerful enough.

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Hugging Face Introduces Cosmopedia To Create Large-Scale Synthetic Data For Pre-Training

Marktechpost

Hiring human annotators was a time-consuming and expensive technique traditionally used to create datasets for supervised fine-tuning and instruction-tuning. Due to the high cost, only a select few influential people in the area were able to create such comprehensive datasets. Nevertheless, things have altered in the past several months. Numerous top-notch synthetic fine-tuning datasets have been developed, with GPT-3.5 and GPT-4 being the most common tools.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS), and even proprietary model providers—are using large language models (LLMs) to build applications like question and answering (QnA) chatbots, search engines, and knowledge bases.

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Meet Open Interpreter: An Open-Source Project that Lets GPT-4 Execute Python Code Locally

Marktechpost

Accessing and utilizing computer capabilities efficiently is crucial in today’s fast-paced digital world. However, many existing solutions have limitations, such as restricted internet access, limited pre-installed packages, and strict runtime constraints. These constraints hinder users from fully harnessing the potential of language models for tasks like code interpretation and execution.

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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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Announcing the State Reader API: The New "Statestore" Data Source

databricks

Databricks Runtime 14.3 includes a new capability that allows users to access and analyze Structured Streaming 's internal state data: the State Reader.

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FedFixer: A Machine Learning Algorithm with the Dual Model Structure to Mitigate the Impact of Heterogeneous Noisy Label Samples in Federated Learning

Marktechpost

In today’s world, where data is distributed across various locations and privacy is paramount, Federated Learning (FL) has emerged as a game-changing solution. It enables multiple parties to train machine learning models collaboratively without sharing their data, ensuring that sensitive information remains locally stored and protected. However, a significant challenge arises when the data labels provided by human annotators are imperfect, leading to heterogeneous label noise distributions

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New 'Silicon Spikes' Can Destroy Almost All Virus Particles

Extreme Tech

The spikes rip apart some viruses while preventing others from replicating. Both could help prevent the spread of disease.

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