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31142 Posts
Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock | Amazon Web Services

Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock | Amazon Web Services

In the world of online retail, creating high-quality product descriptions for millions of products is a crucial, but time-consuming task. Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. One of the main advantages of high-quality product descriptions is the improvement in searchability. Customers can more easily locate products that have correct descriptions, because it allows the search engine to identify products that match not just the general category but also the specific attributes mentioned in the product description. For example,…
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Tech policy is only frustrating 90% of the time

Tech policy is only frustrating 90% of the time

Many technologists stay far away from public policy. That’s understandable. In our experience, most of the time when we engage with policymakers there is no discernible impact. But when we do make a difference to public policy, the impact is much bigger than what we can accomplish through academic work. So we find it fruitful to engage even if it feels frustrating on a day-to-day basis.In this post, we summarize some common reasons why many people are cynical about tech policy and explain why we’re cautiously optimistic. We also announce some recent writings on tech policy as well as an…
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Inside the Pod: A Guide to Launching a Successful One-person Company

Inside the Pod: A Guide to Launching a Successful One-person Company

Thank you to everyone who is watching or listening to my podcast, How Do You Use ChatGPT? If you want to see a collection of all of the prompts and responses in one place, Every contributor Rhea Purohit is breaking them down for you to replicate. Let us know in the comments if you find these guides useful. —Dan ShipperWas this newsletter forwarded to you? Sign up to get it in your inbox.In the first week of April, I came face-to-face with the part of being a freelancer I hate the most: tax season.The idea of wading through invoices, account…
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Scale AI

Scale AI

I’m excited to share Generational’s inaugural growth & late-stage company briefing with a deep dive on Scale AI, blending analytical rigor with feature writing. Disclaimer: I have a financial interest in Scale. Don’t take this as investment advice.In this deep dive, you’ll learn insights from conversations with Scale’s customers, ex-employees, and competitors. I could do this thanks to Tegus, which centralizes expert calls into a single platform. Nothing beats primary research when it comes to understanding a company. If you’re curious about Tegus, try them out with this link.Scale AI accelerates the development of AI applications through services and software.…
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Poking parts of Sonnet’s brain to make it less annoying

Poking parts of Sonnet’s brain to make it less annoying

In a groundbreaking new paper (actually groundbreaking, IMO), researchers at Anthropic have scaled up an interpretability technique called "dictionary learning" to one of their deployed models, Claude 3 Sonnet. The results provide an unprecedented look inside the mind of a large language model, revealing millions of interpretable features that correspond to specific concepts and behaviors (like sycophancy) and shedding light on the model's inner workings. In this post, we'll explore the key findings of this research, including the discovery of interpretable features, the role of scaling laws, the abstractness and versatility of these features, and their implications for model steering…
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MongoDB Dev Ittycheria on the evolving AI landscape – SiliconANGLE

MongoDB Dev Ittycheria on the evolving AI landscape – SiliconANGLE

The technology industry is undergoing a profound transformation, with artificial intelligence reshaping how businesses operate and interact with customers. The AI landscape is evolving at breakneck speed. As companies grapple with the rapid evolution of AI, they’re seeking solutions to navigate this new landscape effectively. MongoDB has emerged as a key player in this transformation, focusing on providing tools and expertise to help developers harness AI’s potential in building innovative applications. “We are in the business of helping developers use AI to build applications that transform a business,” said Dev Ittycheria (pictured), chief executive officer of MongoDB Inc. “Where will…
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Microsoft Build 2024: Copilot AI Gains ‘Personal Assistant’ Capabilities

Microsoft Build 2024: Copilot AI Gains ‘Personal Assistant’ Capabilities

Following the announcements of Copilot+ enabled AI PCs at the Microsoft Build developer event on May 20, Microsoft released new developer tools, enhancements to Microsoft Azure AI and new enterprise options for Copilot. GitHub Copilot received a lengthy list of new capabilities enabled by first- and third-party services. Meanwhile, reactions to the AI memory feature Recall include some backlash against its observation of all of the user’s activity. Recall, announced at Microsoft Build on May 20, makes any activity on a Microsoft AI PC searchable, allowing the user to ask natural language questions and receive answers from across all of…
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Local Coworking Spaces Thrive Where WeWork Dared Not Go

Local Coworking Spaces Thrive Where WeWork Dared Not Go

The white colonial revival church with its high steeple adds an idyllic architectural touch to the affluent town of Huntington, a Long Island suburb of New York City. But a sign grabs the eye from the road: “Coworking space,” it says. “Kind of like a WeWork. Was a church, but not anymore.”The former church may have been leveled and replaced with condos, had Michael Hartofilis not bought it and repurposed it as a coworking venue called Main Space that opened earlier this year. What was once a sanctuary with a high ceiling has been split into two floors of coworking…
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Hugging Face Autotrain – Getting Started

Hugging Face Autotrain – Getting Started

Autotrain is a no-code platform from Hugging Face to train, evaluate, and deploy machine learning and deep learning models. In this article, we will use Hugging Face Autotrain to train a Small Language Model (SLM). The Hugging Face Autotrain platform offers several functionalities for training: Computer Vision models Machine Learning models And LMs & LLMs However, in this article we will focus on training a language model for instruction following using the Autotrain platform. Although we can directly access Autotrain from their platform, we will use local installation. So, in way, we will use some code rather than the no-code…
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Maps say this place doesn’t exist. But that’s not true

Maps say this place doesn’t exist. But that’s not true

You may think of the places that remain uncharted by maps as very distant or rural areas. In reality, thriving, bustling communities of millions are not captured in any data source.  In fact, places all around the world have yet to be fully mapped, which is a huge problem. With the increase in climate-related disasters, this lack of data poses serious risks to the most vulnerable populations, especially in the global south. Gaps in data mean gaps in service delivery and gaps in disaster response. Here’s how you can join 600,000 volunteers worldwide and help communities put their citizens, roads,…
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