I’m actively looking for AI Engineer | ML Engineer | Forward Deployed Engineer roles (India or USA) 🇮🇳🇺🇸 Just finished at JP Morgan Chase building production LLM agentic AI workflows: 👉 GPT-4 compliance chatbot with LangChain + LangGraph ➡️ cut manual review time by 30% 👉 Real-time fraud detection systems (PySpark + Azure OpenAI) ➡️ reduced false positives by 15% Specialist in RAG, LLM fine-tuning, and scalable MLOps pipelines. Open to work immediately. Let’s connect! 🔥

if you reply, i’ll follow you. looking for more people building with ai/llms: agents, evals, rag, coding tools, automation, weird workflows, model routing, infra, anything useful. small accounts welcome.

Treating patients, learning alongside fellow healthcare students & dancing for RAG and Flag—these experiences shaped Amber in her goal to become a dentist who offers excellent clinical care, empowers patients & positively shapes her community. Her story:

New course: Transformers in Practice. You'll get a practical view of how transformer-based LLMs work, so you can reason about their behavior, diagnose problems like slow inference, and make smarter decisions about deployment. This course is built in partnership with @AMD and taught by @realSharonZhou. You'll see how transformers generate text one token at a time, how the model decides which earlier words matter most when predicting the next one, and how techniques like quantization speed up inference on GPUs. This is not a video-only course; interactive visualizations throughout let you play with these concepts and build intuition that sticks. Skills you'll gain: - Understand why LLMs hallucinate, and RAG and chain-of-thought shape what they generate - Look inside the model to see how attention and layers combine to predict the next token - Diagnose inference bottlenecks and learn the techniques that speed up transformers on GPUs Join and understand what's really happening inside your LLMs:

The infrastructure for autonomous agent-to-agent transactions is already live. Most people haven't clocked what that means yet. 6.5 million community nodes across 192 countries established the foundation: continuously refreshed public data that doesn't depend on a single API or corporate data license. Teneo Beacon is the evolution of that. 50,000 dedicated nodes running today, powering the live data layer AI search engines, RAG pipelines, training datasets, and foundation model labs need to stay current. 760+ agents queryable on top of it. Via the Teneo CLI, any AI agent can call Messari, trigger a LayerZero bridge, or monitor gas across 10 chains. All settled in USDC on-chain via x402, without API keys or subscriptions. That's the full stack. Beacon nodes at the base, collecting. Agents in the middle, processing and acting. x402 as the payment primitive that lets AI systems transact autonomously at every layer. This isn't a marketplace for individual agents. It's infrastructure for AI systems that need to query, pay, and execute without human intervention. The builders deploying now are building the toolset the next generation of AI agents will call. The node operators running Beacon are powering the data layer those agents depend on. Both sides of that are already live.

QVAC SDK 0.10.0 is now live, bringing advanced local compute capabilities and specialized hardware optimization directly to your device Key Features and Updates: - Image-to-Image Diffusion: Transform and edit images using simple prompts with 100% local compute—no cloud uploads or external servers required - Dynamic Tooling & KV Cache Management:Your local LLM now receives a tailored toolbox for every interaction, with automatic KV cache clearing to maintain high-speed inference - Doctor CLI: A new diagnostic tool that analyzes your hardware and memory, providing specific instructions on how to optimize your GPU for local AI - Suspend & Resume API: Specifically designed for mobile environments, this allows apps to pause P2P swarms and RAG workspaces to meet background rules without losing model state - GPT-OSS Compatibility: Added support for the latest GPT-OSS models loaded externally, expanding the range of open-source intelligence available on the platform Build the future of private, unstoppable AI: