🐫 We’ve partnered with @qdrant_engine on their Essentials Course, all about production-grade vector search.
Check out our module to learn about:
- Multi-agent system architectures
- Agentic RAG patterns and best practices
- Agent collaboration and communication
- Building autonomous AI systems with Qdrant
- Auto-Retrieval with CAMEL for automated RAG processes
View the full course: https://t.co/Cb0OGrXBhY
View our module: https://t.co/jIAF4P6qKn
This has been one of the biggest weeks in AI.
New tools, model upgrades, and agent frameworks from OpenAI, DeepSeek, Qwen, IBM, GitHub, Google, and more.
Here’s a full recap so you don’t miss a thing. 🧵
(save for later)
Hand Eigent the PDF, your signature, and one short prompt. It does the rest.
Eigent:
• Installs OCR tools automatically
• Detects every “Signature Area” in the PDF
• Places the signature precisely
• Saves the signed file locally
All local. All autonomous.
Introducing Eigent — the first multi-agent workforce on your desktop.
Eigent is a team of AI agents collaborating to complete complex tasks in parallel. It is your long-term working partner with fullly customizable workers and MCPs.
Public beta available to download for MacOS, Windows. 100% open-source on Github. Comment for 500 extra credits.
@mahnoortanveerr Yes definitely in calisthenics progress does take time and you’ll have good days and bad days. But Staying consistent is the key 🔑 , because you’ll always look back and see progress. 💪🏽💪🏽