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@faun shared a link, 8 months, 1 week ago
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GPT-5 Thinking in ChatGPT (aka Research Goblin) is shockingly good at search

GPT-5's“thinking” modeljust leveled up. It's not just answering queries—it’s doing full-on research. Picture deep, multi-step Bing searches mixed with tool use and reasoning chains. It reads PDFs. Analyzes them. Suggests what to do next. Then actually does it. All from your phone. What’s changing:L.. read more  

GPT-5 Thinking in ChatGPT (aka Research Goblin) is shockingly good at search
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The Big LLM Architecture Comparison

Architectures since GPT-2 still ride transformers. They crank memory and performance withRoPE, swapGQAforMLA, sprinkle in sparseMoE, and roll sliding-window attention. Teams shiftRMSNorm. They tweak layer norms withQK-Norm, locking in training stability across modern models. Trend to watch:In 2025,.. read more  

The Big LLM Architecture Comparison
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@faun shared a link, 8 months, 1 week ago
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Best Practices for High Availability of LLM Based on AI Gateway

Alibaba Cloud’s AI Gateway just got sharper. It now handlesreal-time overload protectionandLLM fallback routingusing passive health checks, first packet timeouts, and traffic shaping. It proxies both BYO and cloud LLMs—think PAI-EAS, Tongyi Qianwen—and redirects load spikes or failures on the fly. F.. read more  

Best Practices for High Availability of LLM Based on AI Gateway
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Why language models hallucinate

OpenAI sheds light on the persistence ofhallucinationsin language models due to evaluation methods favoring guessing over honesty, requiring a shift towards rewarding uncertainty acknowledgment. High model accuracy does not equate to the eradication of hallucinations, as some questions are inherentl.. read more  

Why language models hallucinate
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@faun shared a link, 8 months, 1 week ago
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From Zero to GPU: A Guide to Building and Scaling Production-Ready CUDA Kernels

Hugging Face just dropped Kernel Builder—a full-stack toolchain for building, versioning, and shippingcustom CUDA kernels as native PyTorch ops. Kernels arearchitecture-aware,semantically versioned, andpullable straight from the Hub. It tracks changes with lockfiles and bakes inDocker deploysout of.. read more  

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@faun shared a link, 8 months, 1 week ago
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Simplifying Large-Scale LLM Processing across Instacart with Maple

Instacart builtMaple, a backend brain for handling millions of LLM prompts—fast, cheap, and shared across teams. It’s not just another service. Maple runs onTemporal,PyArrow, andS3, strip-mines away provider-specific boilerplate, auto-batches prompts, retries failures, and slashes LLM costs by up t.. read more  

Simplifying Large-Scale LLM Processing across Instacart with Maple
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@faun shared a link, 8 months, 1 week ago
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Hermes V3: Building Swiggy’s Conversational AI Analyst

Swiggy just gave its GenAI tool, Hermes, a serious glow-up. What started as a simple text-to-SQL bot is now acontext-aware AI analystthat lives inside Slack. The upgrade? Not just tweaks—an overhaul. Think: vector-based prompt retrieval, session-level memory, an Agent orchestration layer, and a SQL.. read more  

Hermes V3: Building Swiggy’s Conversational AI Analyst
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@laura_garcia shared a post, 8 months, 1 week ago
Software Developer, RELIANOID

RELIANOID Load Balancer Community Edition v7 on AWS using Terraform

🚀 New Guide Available! Learn how to quickly deploy RELIANOID Load Balancer Community Edition v7 on AWS using Terraform. Our step-by-step article shows you how to provision everything automatically — from VPCs and subnets to EC2 and key pairs — in just minutes. 👉 https://www.relianoid.com/resources/k..

Knowledge base Deploy RELIANOID Load Balancer Community Edition v7 with Terraform on AWS
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AWS, Microsoft and Google unite behind Linux Foundation DocumentDB database to cut enterprise costs and limit vendor lock-in

Document databases are crucial for AI apps in the gen AI era. Microsoft's open-source DocumentDB project, based on PostgreSQL, is moving to the Linux Foundation, offering a vendor-neutral, open-source alternative to MongoDB. DocumentDB's compatibility with MongoDB drivers and open source governance .. read more  

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Deploy a containerized application with Kamal and Terraform

A Docker-first workflow combinesTerraformandKamalinto a lean, Elastic Beanstalk-ish alternative—without the bloat. Terraform spins up a three-tier VPC and wires it toECR. Kamal takes it from there, booting containers on a raw EC2 box: app, proxy, monitor. One script. Done... read more  

Deploy a containerized application with Kamal and Terraform
A Magento 2 quote extension allows customers to request a quote for products or services they're interested in purchasing. This extension can be particularly useful for businesses that offer custom or bulk orders, as it allows customers to request a personalized quote rather than paying a fixed price.

With a Magento 2 quote extension, customers can easily add products to their quote request, specify quantities, and provide any additional information or requirements. Once the quote request is submitted, the merchant receives a notification and can review and respond to the request with a custom price quote.

This extension can help businesses streamline their sales process, as it eliminates the need for customers to negotiate prices via phone or email. It can also improve customer satisfaction by providing a transparent and flexible pricing model that meets their specific needs and budget.

By enabling clients to instantly get a product quote, you may increase user interaction and gather quality leads. The premium capabilities of the extension enable you to show the 'Add to Quote' button on particular categories so that clients can see the price estimates of several products at once. Customers who inquire about prices may also leave comments. The 'Add to Quote' button's text and background color can be customized.

Limit the 'Add to Quote' button based on customer groups. Additionally, you may choose to approve and respond to the appropriate quote requests by viewing them all in a single control panel. You may keep the admin and customers properly updated about changes to the requests using email settings.

Overall, a Magento 2 quote extension can be a valuable addition to any e-commerce store, providing an efficient and user-friendly way for customers to request custom or bulk orders and for merchants to respond with personalized quotes.

Features
Basic Qualities
Simply and readily Request for Quote form: Manage requests and enable email notifications

Premium Options
Make a 'Add to Quote' button available for categories.
Add several items to a quote request.
The 'Add to Quote' button can be customized.
Limit Requests for Quotes by Customer Groups
The "Request for Quote" form's comments section Customers can access quote requests in their accounts.