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Podcast: Platform Engineering for AI: Scaling Agents and MCP at LinkedIn
QCon AI New York Chair Wes Reisz talks with LinkedIn’s Karthik Ramgopal and Prince Valluri about enabling AI agents at enterprise scale. They discuss how platform teams orchestrate secure, multi-agentic systems, the role of MCP, the use of foreground and background agents, improving developer experience, and reducing toil. By Karthik Ramgopal, Prince Valluri
Top posts from tech subreddits• Updated 2 minutes ago
Someone from NVIDIA made a big mistake and uploaded the parent folder of their upcoming model on Hugging Face
ChatGPT 5.2 Tested: How Developers Rate the New Update (Another Marketing Hype?)
[D] GPT confidently generated a fake NeurIPS architecture. Loss function, code, the works. How does this get fixed?
Disney strikes $1 billion deal with OpenAI to bring Mickey, Marvel, and more to generative video platform
I tried to make a agent for my granny suffering from cancer ..... now 800 cancer patients are using this
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awesome-generative-ai
A curated list of modern Generative Artificial Intelligence projects and services
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
InvokeAI
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
llama_index
LlamaIndex is the leading framework for building LLM-powered agents over your data.