Thu.May 02, 2024

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AI on the Go: Anthropic Launches Claude Mobile App

Analytics Vidhya

San Francisco-based AI company Anthropic is making waves with the launch of its first smartphone app, bringing Claude to mobiles. This move positions Anthropic as a serious contender in the AI game, going head-to-head with industry giants like OpenAI and Google. The new iPhone app caters to both free and paid Claude users. It seamlessly […] The post AI on the Go: Anthropic Launches Claude Mobile App appeared first on Analytics Vidhya.

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Illuminating AI: The Transformative Potential of Neuromorphic Optical Neural Networks

Unite.AI

Artificial intelligence (AI) has become a fundamental component of modern society, reshaping everything from daily tasks to complex sectors such as healthcare and global communications. As AI technology progresses, the intricacy of neural networks increases, creating a substantial need for more computational power and energy. This escalation not only heightens carbon emissions and generates more electronic waste but also adds to economic pressures through increased operational costs.

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Finetuning Llama 3 with Odds Ratio Preference Optimization

Analytics Vidhya

Introduction Large Language Models are often trained rather than built, requiring multiple steps to perform well. These steps, including Supervised Fine Tuning (SFT) and Preference Alignment, are crucial for learning new things and aligning with human responses. However, each step takes a significant amount of time and computing resources. One solution is the Odd Ratio […] The post Finetuning Llama 3 with Odds Ratio Preference Optimization appeared first on Analytics Vidhya.

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How Law Enforcement Can Track Persons of Interest Without Relying on Facial Recognition

Unite.AI

The sheer volume of video evidence available for investigative teams has reached unprecedented levels. According to the Bureau of Justice Assistance , approximately 80% of crimes involve some form of video evidence, and this trend shows no signs of slowing down. Various sources contribute to this influx of video evidence, ranging from security cameras and traffic footage to body cameras, dashcams, and handheld devices.

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AI in Marketing & Sales: Today’s Tools, Tomorrow’s Potential

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

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World’s First Autonomous Car Race Held at Abu Dhabi’s Yas Marina

Analytics Vidhya

Can you imagine a car race without any drivers? Well, it’s no longer imagination, but a reality now! That’s right, the world witnessed the first-ever professional autonomous car race over the weekend. The Abu Dhabi Autonomous Racing League (A2RL) held at Yas Marina marked a significant leap in the motor racing world. With autonomous cars […] The post World’s First Autonomous Car Race Held at Abu Dhabi’s Yas Marina appeared first on Analytics Vidhya.

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Gecko by Google: Pioneering the Next Generation of Text Embedding Models

Analytics Vidhya

Introduction Welcome to the world of text embeddings where text is converted into numbers! This world has recently been turned around by the distillation of large language models (LLMs) into efficient and compact forms. Google’s latest innovation, Gecko, is the lastest advancement in this technology, revolutionizing the way we handle textual data.

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Kolmogorov-Arnold Networks (KANs): A New Era of Interpretability and Accuracy in Deep Learning

Marktechpost

Multi-layer perceptrons (MLPs), or fully-connected feedforward neural networks, are fundamental in deep learning, serving as default models for approximating nonlinear functions. Despite their importance affirmed by the universal approximation theorem, they possess drawbacks. In applications like transformers, MLPs often monopolize parameters and lack interpretability compared to attention layers.

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How to Improve Dataset Selection with ChatGPT?

Analytics Vidhya

Introduction Right choice of appropriate datasets is essential in today’s data-driven environment to facilitate well-informed decision-making and uncover insightful information. It might be intimidating to navigate the enormous amount of data that is available, though. This article examines how the dataset selection process can be streamlined by using ChatGPT.

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Nvidia: Our GPUs Can Run Circles Around Intel and AMD NPUs for AI Tasks

Extreme Tech

GPU makers want to get in on the AI action now too.

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AI for Paralegals: Everything You Need to Know (and How to Use It Safely)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security risks before they become problems.

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Explore the World through your Photos with GeoSpy.AI

Analytics Vidhya

Introduction In the age of advanced technology, GeoSpy.AI emerges as an AI powered intel platform that utilizes the power of geospatial vision large language models (LLMs) to predict locations from photos. Whether it’s a snapshot of a suburban street, a rural landscape, or a city corner, GeoSpy.AI can pinpoint the coordinates of the location within […] The post Explore the World through your Photos with GeoSpy.AI appeared first on Analytics Vidhya.

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AWS Inferentia and AWS Trainium deliver lowest cost to deploy Llama 3 models in Amazon SageMaker JumpStart

AWS Machine Learning Blog

Today, we’re excited to announce the availability of Meta Llama 3 inference on AWS Trainium and AWS Inferentia based instances in Amazon SageMaker JumpStart. The Meta Llama 3 models are a collection of pre-trained and fine-tuned generative text models. Amazon Elastic Compute Cloud (Amazon EC2) Trn1 and Inf2 instances, powered by AWS Trainium and AWS Inferentia2, provide the most cost-effective way to deploy Llama 3 models on AWS.

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Meet India’s ChatGPT Rival – Hanooman GPT is Here!

Analytics Vidhya

Introduction It’s not Tuesday, but it’s still a Hanooman’s day. Finally, the SML-powered Hanooman GPT is here! India now has its own indigenous alternative to OpenAI’s viral ChatGPT model. Hanooman GPT is a series of open-source Indic large language models developed by the Indian Institute of Technology (IIT) Bombay in partnership with healthcare AI firm […] The post Meet India’s ChatGPT Rival – Hanooman GPT is Here!

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Get started with Amazon Titan Text Embeddings V2: A new state-of-the-art embeddings model on Amazon Bedrock

AWS Machine Learning Blog

Embeddings are integral to various natural language processing (NLP) applications, and their quality is crucial for optimal performance. They are commonly used in knowledge bases to represent textual data as dense vectors, enabling efficient similarity search and retrieval. In Retrieval Augmented Generation (RAG), embeddings are used to retrieve relevant passages from a corpus to provide context for language models to generate informed, knowledge-grounded responses.

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4 HR Priorities for 2025 to Supercharge Your Employee Experience

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

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Gemini Upgrade 2024: Focus on Boosting Power and Accessibility

Analytics Vidhya

This is exciting news for language enthusiasts and AI users worldwide! Gemini Upgrade is here! On April 30, 2024, the Gemini mobile app received a major update that expanded its reach and accessibility worldwide. This update breaks down language barriers, making Gemini an international AI experience. The Gemini app is now available in various languages, […] The post Gemini Upgrade 2024: Focus on Boosting Power and Accessibility appeared first on Analytics Vidhya.

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Iterative Preference Optimization for Improving Reasoning Tasks in Language Models

Marktechpost

Iterative preference optimization methods have shown efficacy in general instruction tuning tasks but yield limited improvements in reasoning tasks. These methods, utilizing preference optimization, enhance language model alignment with human requirements compared to sole supervised fine-tuning. Offline techniques like DPO are gaining popularity due to their simplicity and efficiency.

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Fine-tune Llama 3 using Direct Preference Optimization

Analytics Vidhya

Introduction Large Language Models have revolutionized productivity by enabling tasks like Q&A, dynamic code generation, and agentic systems. However, pre-trained vanilla models are often biased and can produce harmful content. To improve performance, algorithms like Reinforcement Learning with Human Feedback and Direct Preference Optimization (DPO) can be used.

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This AI Paper Introduces Llama-3-8B-Instruct-80K-QLoRA: New Horizons in AI Contextual Understanding

Marktechpost

Natural language processing (NLP) focuses on enabling computers to understand and generate human language, making interactions more intuitive and efficient. Recent developments in this field have significantly impacted machine translation, chatbots, and automated text analysis. The need for machines to comprehend large amounts of text and provide accurate responses has led to the development of advanced language models that continuously push the boundaries of machine understanding.

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Trial Prep: What Attorneys Really Want (And How to Deliver It)

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

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Meet Victoria Shi, the World’s First AI-Generated Foreign Minister

Analytics Vidhya

Ukraine has embarked on a pioneering venture by introducing the world’s first ‘AI diplomat’. The country has developed an artificial intelligence (AI) generated spokesperson to be the face and voice of their Ministry of Foreign Affairs. The AI, named Victoria Shi, has been launched to announce updates on various fronts, on behalf of the Ukrainian […] The post Meet Victoria Shi, the World’s First AI-Generated Foreign Minister appeared first on Analytics Vidhya.

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AMD's Q1 Earning Report Shows Shocking 48% Decline in GPU Sales

Extreme Tech

Things are looking grim for AMD's Radeon division.

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Announcement: Meta’s Llama 3 Hackathon Offers $10k+ in Prizes

Analytics Vidhya

Hey there, AI fans! Meta, along with Cerebral Valley and SHACK15, is throwing a YOU-DON’T-WANNA-MISS event for you – the Meta Llama 3 Hackathon on May 11th and 12th! It’s your chance to build amazing apps using Meta’s newest and coolest large language model, Llama 3. In this event you will dive into the latest […] The post Announcement: Meta’s Llama 3 Hackathon Offers $10k+ in Prizes appeared first on Analytics Vidhya.

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Bridging the Binary Gap: Challenges in Training Neural Networks to Decode and Summarize Code

Marktechpost

This study’s research area is artificial intelligence (AI) and machine learning, specifically focusing on neural networks that can understand binary code. The aim is to automate reverse engineering processes by training AI to understand binaries and provide English descriptions. This is important because binaries can be challenging to comprehend due to their complexity and lack of transparency.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Amazon Personalize launches new recipes supporting larger item catalogs with lower latency

AWS Machine Learning Blog

Personalized customer experiences are essential for engaging today’s users. However, delivering truly personalized experiences that adapt to changes in user behavior can be both challenging and time-consuming. Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise.

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Back to Work, Our GenAI Future + A Conference

Artificial Lawyer

Is legal tech a good subject for a novel? Is the arrival of genAI in the legal world going to be more of a revolution than an evolution? Who is speaking at Legal Innovators California?

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Webb Telescope Maps Weather Patterns on Distant Planet With 5,000 MPH Winds

Extreme Tech

Only Webb has enough precision to create a weather report for this extreme exoplanet.

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Revolutionize Customer Satisfaction with tailored reward models for your business on Amazon SageMaker

AWS Machine Learning Blog

As more powerful large language models (LLMs) are used to perform a variety of tasks with greater accuracy, the number of applications and services that are being built with generative artificial intelligence (AI) is also growing. With great power comes responsibility, and organizations want to make sure that these LLMs produce responses that align with their organizational values and provide the same unique experience they always intended for their end-customers.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Huawei AI Introduces ‘Kangaroo’: A Novel Self-Speculative Decoding Framework Tailored for Accelerating the Inference of Large Language Models

Marktechpost

The development of natural language processing has been significantly propelled by the advancements in large language models (LLMs). These models have showcased remarkable performance in tasks like translation, question answering, and text summarization, proving their efficiency in generating high-quality text. However, despite their effectiveness, one major limitation remains their slow inference speed, which hinders their use in real-time applications.

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Boeing Prepares for Make or Break Starliner Crewed Flight

Extreme Tech

After years of issues, Starliner will carry its first astronauts next week, and preparations are already underway.

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Meet Pyte: A Data Collaboration Platform that Preserves the Confidentiality of Data During Its Entire Data Lifecycle

Marktechpost

In the age of digital transformation, data is the new gold. Businesses are increasingly reliant on data for strategic decision-making, but this dependency brings significant challenges, particularly when it comes to collaborating with external partners. The traditional methods of sharing data often entail transferring sensitive information to third parties, significantly increasing the risk of security breaches and privacy concerns.

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