Join us

ContentUpdates from Levelop.dev...
Link
@faun shared a link, 11 months, 3 weeks ago
FAUN.dev()

From Zero to Hero: Build your first voice agent with Voice Live API

TheVoice Live APIditches the clutter of juggling models. One API call, and voilà—real-time,natural-sounding bots. It’s harnessed over WebSocket, keeping everything sharp and efficient... read more  

From Zero to Hero: Build your first voice agent with Voice Live API
Link
@faun shared a link, 11 months, 3 weeks ago
FAUN.dev()

AI agents have access to key data across the enterprise

82% of organizations have AI agents on deck; a mere 44% bother with security policies.That leaves a lot of open doors. A staggering 96% of tech pros are side-eyeing these agents as ticking time bombs, yet 98% plan to unleash more. It's like setting out catnip for hackers. These agents wield power wi.. read more  

AI agents have access to key data across the enterprise
Link
@faun shared a link, 11 months, 3 weeks ago
FAUN.dev()

A visual introduction to vector embeddings

OpenAI's text-embedding-ada-002often gets a peculiar itch at dimension 196—vectors peaking awkwardly there. Entertext-embedding-3-small, swooping in to smooth out the distribution. Now, ontosimilarity metrics. For unit vectors, the dot product is your fast friend. It's interchangeable with cosine si.. read more  

A visual introduction to vector embeddings
Link
@faun shared a link, 11 months, 3 weeks ago
FAUN.dev()

AI didn’t kill Stack Overflow

Stack Overflow once buzzed with collective brainpower. But then, it got too wrapped up in reputation points, a full-on leaderboard obsession. This detour dimmed its shine. It turns out, platforms flourish on real teamwork, not just gamified dick measuring contests. As AI sweeps through the coding wo.. read more  

AI didn’t kill Stack Overflow
Link
@faun shared a link, 11 months, 3 weeks ago
FAUN.dev()

Using AI to outsmart AI-driven phishing scams

Phishing scamsare growing craftier, employing AI likeFraudGPTto weave through filters and masquerade as real emails, boosting scam rates by70%. AI can unveil sneaky phishing patterns humans miss, but it loves a good panic. It often cries wolf with false alarms and needs a babysitter to adjust to eve.. read more  

Using AI to outsmart AI-driven phishing scams
Link
@faun shared a link, 11 months, 3 weeks ago
FAUN.dev()

Linear Programming for Fun and Profit

Modal’s "resource solver" hacks cloud volatility. It taps into thesimplex algorithmto snag cheap GPUs. Scale-ups? Lightning-fast. Savings? In the millions... read more  

Linear Programming for Fun and Profit
Link
@faun shared a link, 11 months, 3 weeks ago
FAUN.dev()

LLM Optimization: LoRA and QLoRA

Learn how LoRA and QLoRA make it possible to fine-tune huge language models on modest hardware. Discover the adapter approach for scaling LLMs to new tasks—and why quantization is the next step in efficient model training... read more  

Link
@faun shared a link, 11 months, 3 weeks ago
FAUN.dev()

Building MCP Servers Like a Pro (With a Little Help from yfinance and LLMs)

Hook LLMs to real-time stock data with MCP + yfinance—see how to build, test, and deploy smarter with help from LLMs... read more  

Link
@faun shared a link, 11 months, 3 weeks ago
FAUN.dev()

Gaining Strategic Clarity in AI

AI Opportunity Treewelds cutting-edge tech to raw business value. Meanwhile, theAI System Blueprintknits tech tightly to stakeholder priorities. Lean models? They fuse teams, squash doubt, and thrust AI into action with exhilarating speed... read more  

Gaining Strategic Clarity in AI
Link
@faun shared a link, 11 months, 3 weeks ago
FAUN.dev()

New AI innovations that are redefining the future for software companies

Azure AI Foundrygives developers the power to masterfully control AI agent workflows and streamline decision-making through a single API and SDK.Agentic DevOpselevates AI agents beyond mere coding assistants, morphing GitHub Copilot into a formidable dev partner eager to wrestle with code reviews an.. read more  

New AI innovations that are redefining the future for software companies
Levelop is an interview preparation platform designed specifically for working software engineers (typically with 2–6 years of experience) who want to land jobs at top-tier tech companies.

Instead of just handing you endless lists of problems or passive videos to watch, Levelop uses an active, AI-guided approach to help you build the right mental models for tough technical interviews.

Here is how it works:

Two Specialized AI Mentors: * Orion (Coding AI): Instead of just telling you that your code is wrong, Orion steps in when your code fails, maps out where your knowledge gap is, and guides you to fix it yourself.

Aurora (System Design AI): Rather than making you watch a 40-minute video, Aurora has a live conversation with you to explain foundational system design concepts before you even start drawing on the canvas.

Sprint-Based Practice: You practice in structured loops called "sprints," which combine both Data Structures & Algorithms (DSA) and system design problems.

Actionable Feedback Loop: At the end of every sprint, you receive a detailed report. It scores your technical skills, gives you a behavioral profile, and ranks the exact weaknesses you need to focus on during your next sprint.

In short, it is a smart, interactive practice arena that focuses on actively fixing your specific weaknesses rather than just tracking how many hours you spend studying.