Join us

ContentUpdates and recent posts about Magento 2 Quote Extension..
Link
@faun shared a link, 8 months, 1 week ago
FAUN.dev()

Why Go is a good fit for agents

Gorules the realm of long-lived, concurrent agent tasks. Its lightning-fast goroutines and petite memory use make Node.js and Python look like clunky dinosaurs trudging through thick mud. And don't get started on itscancellation mechanism—seamless cancelation, zero drama... read more  

Why Go is a good fit for agents
Link
@faun shared a link, 8 months, 1 week ago
FAUN.dev()

God is hungry for Context: First thoughts on o3 pro

OpenAIjust took an axe too3pricing—down 80%. Entero3-prowith its $20/$80 show. They boast a star-studded 64% win rate against o3. Forget Opus;o3-pronails picking the right tools and reading the room, flipping task-specific LLM apps on their heads... read more  

God is hungry for Context: First thoughts on o3 pro
Link
@faun shared a link, 8 months, 1 week ago
FAUN.dev()

Modern Test Automation with AI(LLM) and Playwright MCP (Model Context Protocol)

GenAI and Playwright MCP are shaking up test automation. Think natural language scripts and real-time adaptability, kicking flaky tests to the curb.But watch your step:security risks lurk, server juggling causes headaches, and dynamic UIs refuse to play nice... read more  

Link
@faun shared a link, 8 months, 1 week ago
FAUN.dev()

The AI 4-Shot Testing Flow

4-Shot Testing Flowfuses AI's lightning-fast knack for spotting issues with the human knack for sniffing out those sneaky, context-heavy bugs. Trim QA time and expenses. While AI tears through broad test execution, human testers sharpen the lens, snagging false positives/negatives before they slip t.. read more  

The AI 4-Shot Testing Flow
Link
@faun shared a link, 8 months, 1 week ago
FAUN.dev()

Agentic Coding Recommendations

Claude Codeat $100/month smirks at the spendyOpus. It excels at spinning tasks with the nimbleSonnet model. When it comes to backend projects, lean intoGo. It sidesteps Python's pitfalls—clearer to LLMs, rooted context, and less chaos in its ecosystem. Steer clear of pointless upgrades. Those tempti.. read more  

Link
@faun shared a link, 8 months, 1 week ago
FAUN.dev()

GenAI Meets SLMs: A New Era for Edge Computing

SLMspower up edge computing with speed and privacy finesse. They master real-time decisions and steal the spotlight in cramped settings like telemedicine andsmart cities. On personal devices, they outdoLLMs—trimming the fat with model distillation and quantization. Equipped withONNXandMediaPipe, the.. read more  

Link
@faun shared a link, 8 months, 1 week ago
FAUN.dev()

Meta reportedly in talks to invest billions of dollars in Scale AI

Metawants a piece of the$10 billion pieat Scale AI, diving headfirst into the largest private AI funding circus yet.Scale AI'srevenue? Projected to rocket from last year’s $870M to$2 billionthis year, thanks to some beefy partnerships and serious AI model boot camps... read more  

Meta reportedly in talks to invest billions of dollars in Scale AI
Link
@faun shared a link, 8 months, 1 week ago
FAUN.dev()

Automate Models Training: An MLOps Pipeline with Tekton and Buildpacks

Tekton plusBuildpacks: your secret weapon for training GPT-2 without Dockerfile headaches. They wrap your code in containers, ensuring both security and performance.Tekton Pipelineslean on Kubernetes tasks to deliver isolation and reproducibility. Together, they transform CI/CD for ML into something.. read more  

Automate Models Training: An MLOps Pipeline with Tekton and Buildpacks
Link
@faun shared a link, 8 months, 1 week ago
FAUN.dev()

Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for Efficient LLM Training at Scale

Reinforcement Learningfine-tunes large language models for better performance by adapting outputs based on structured feedback. Scaling RL for LLMs faces resource challenges due to massive computation, model sizes, and engineering problems like GPU idle time. Meta's LlamaRL is a PyTorch-based asynch.. read more  

Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for Efficient LLM Training at Scale
Link
@faun shared a link, 8 months, 1 week ago
FAUN.dev()

BenchmarkQED: Automated benchmarking of RAG systems

BenchmarkQEDtakes RAG benchmarking to another level. ImagineLazyGraphRAGsmashing through competition—even when wielding a hefty1M-tokencontext. The only hitch? It occasionally stumbles on direct relevance for local queries. But fear not,AutoQis in its corner, crafting a smorgasbord of synthetic quer.. read more  

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.