PERCORE: A Deep Learning-Based Framework for Persian Spelling Correction with Phonetic Analysis

PERCORE: A Deep Learning-Based Framework for Persian Spelling Correction with Phonetic Analysis

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Understanding CORS: A Crucial Security Feature for Your React Applications

Understanding CORS: A Crucial Security Feature for Your React Applications

In web development, security is paramount, especially when dealing with sensitive user data. One critical security mechanism is Cross-Origin Resource Sharing (CORS). This feature, implemented by web browsers, restricts web pages from making requests to a different domain than the one that served the original page. Understanding and correctly implementing CORS is essential for any developer working with React applications. Let's dive into what CORS is, why it's important, and how you can configure it for your React projects. What is CORS? CORS stands for Cross-Origin Resource Sharing. It's a security feature designed to protect users by preventing unauthorized cross-origin…
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Leading AI Chatbots Stumped When Asked About Biden’s Decision to Drop Out

Leading AI Chatbots Stumped When Asked About Biden’s Decision to Drop Out

To hear tech execs tell it, AI chatbots are poised to become our arbiters of facts and purveyors of the news. But this whirlwind week in American politics shows they've got a long way to go.In a span of roughly nine days that saw Donald Trump survive a botched assassination attempt and President Joe Biden abruptly drop out of the presidential race, AI chatbots either weren't up to date, didn't accurately report current events, and sometimes even refused to answer questions about the news, The Washington Post reports.These shortcomings add weight to concerns about AI's propensity for spreading misinformation —…
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I took 2 kids and a dog on 3 separate ferries to get to our summer vacation. The 6-hour journey was so much better than driving.

I took 2 kids and a dog on 3 separate ferries to get to our summer vacation. The 6-hour journey was so much better than driving.

I took my family, including two kids and a dog, on ferries to get from Vermont to the Hamptons.Whether we drive or ride boats, it's a pretty long trip, but the ferry has other benefits.I love that we don't have to deal with driving through busy New York City. Thanks for signing up! Access your favorite topics in a personalized feed while you're on the go. download the app By clicking “Sign Up”, you accept our Terms of Service and Privacy Policy. You can opt-out at any time by visiting our Preferences page or by clicking "unsubscribe" at the bottom…
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Databricks on Databricks: Kicking off the Journey to Governance with Unity Catalog

Databricks on Databricks: Kicking off the Journey to Governance with Unity Catalog

As the Data Platform team at Databricks, we leverage our own platform to provide an intuitive, composable, and comprehensive Data and AI platform to internal data practitioners so that they can safely analyze usage and improve our product and business operations. As our company matures, we are especially motivated to establish data governance to enable secure, compliant and cost-effective data operations. With thousands of employees and hundreds of teams analyzing data, we have to frame and implement consistent standards to achieve data governance at scale and continued compliance. We identified Unity Catalog (UC), generally available as of August 2022, as…
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RAG Is All The Rage — And The Machine Is Getting More Complex

RAG Is All The Rage — And The Machine Is Getting More Complex

In our previous blog post on retrieval-augmented generation (RAG), we explained the motivation for implementing a RAG architecture and presented a very basic example architecture for retrieving enterprise knowledge. But the solution doesn’t stop there; in these blog post, we’ll describe advanced RAG architectures for enterprise knowledge applications. In the previous post, we showed how a RAG-powered application could handle some simple HR questions. Using that simple architecture, if a user were to prompt the system with a more complex question (e.g., “How many sick days do I have per year?”), the system will only be able to respond with…
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How humanity transformed its fate

How humanity transformed its fate

Sign up for Roots of Progress Substack The history of technology and the philosophy of progress Notice: JavaScript is required for this content. The following is Chapter 2 from the book The Techno-Humanist Manifesto by Jason Crawford, Founder of the Roots of Progress Institute. The entirety of the book will be published on Freethink, one week at a time. For more from Jason, subscribe to his Substack above.Chapter 2, Section 1: Surrender of the GodsSo far we have told the story of progress as one of humanity climbing out of poverty, isolation, disease and death into abundance, connectedness, health and safety. More…
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AWS AI chips deliver high performance and low cost for Llama 3.1 models on AWS | Amazon Web Services

AWS AI chips deliver high performance and low cost for Llama 3.1 models on AWS | Amazon Web Services

Today, we are excited to announce AWS Trainium and AWS Inferentia support for fine-tuning and inference of the Llama 3.1 models. The Llama 3.1 family of multilingual large language models (LLMs) is a collection of pre-trained and instruction tuned generative models in 8B, 70B, and 405B sizes. In a previous post, we covered how to deploy Llama 3 models on AWS Trainium and Inferentia based instances in Amazon SageMaker JumpStart. In this post, we outline how to get started with fine-tuning and deploying the Llama 3.1 family of models on AWS AI chips, to realize their price-performance benefits. Overview of…
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OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning

OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning

arXiv:2407.14653v1 Announce Type: new Abstract: Offline safe reinforcement learning (RL) aims to train a policy that satisfies constraints using a pre-collected dataset. Most current methods struggle with the mismatch between imperfect demonstrations and the desired safe and rewarding performance. In this paper, we introduce OASIS (cOnditionAl diStributIon Shaping), a new paradigm in offline safe RL designed to overcome these critical limitations. OASIS utilizes a conditional diffusion model to synthesize offline datasets, thus shaping the data distribution toward a beneficial target domain. Our approach makes compliance with safety constraints through effective data utilization and regularization techniques to benefit offline safe RL…
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