4) Scaling Workers for High Throughput As demand increases, scaling is easy: – Each worker processes jobs independently, so you can add more workers without modifying the main server. – Workers can run on separate machines, containers, or pods for horizontal scaling.
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Distributed Task Queue Architecture with Redis and Workers
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1) The Core Architecture At a high level, we have: Main Server: Handles API requests and database operations. Redis (BullMQ): A task queue for processing background jobs. Workers: Dedicated instances listening to the queue and executing tasks.
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Scaling AI Apps: Asynchronous Task Queues and Distributed Workers
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Apps like ChatGPT, Claude, and Gemini handle millions of requests per second But how do they do it ? The secret lies in asynchronous task queues, distributed workers, and scalable infrastructure. In Flowise you can achieve that using Queue mode. Here's how it works:
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Long-term Agentic Memory with LangGraph Course
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New @DeepLearningAI course!! Long-term Agentic Memory with LangGraph Covers different types of memory (semantic, episodic, and procedural) and how to add those to a real world application We've been super interested in memory, this course shares some of our learnings
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Building Agentic Memory with LangGraph Course
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💫 New @DeepLearningAI course: Long-term Agentic Memory with LangGraph
— LangChain (@LangChain) 14 mars 2025
Learn about how to build an agent with long term memory from @AndrewYNg and @hwchase17 (@LangChainAI CEO). In this course, you'll learn to:
✔️ How to apply three types of memory — semantic, episodic, and… pic.twitter.com/C1HJOrPWMlNew @DeepLearningAI course: Long-term Agentic Memory with LangGraph Learn about how to build an agent with long term memory from @AndrewYNg and @hwchase17 (
@langchain CEO). In this course, you'll learn to: How to apply three types of memory — semantic, episodic, and -
MPC as API Bridge Between LLMs and Software Tools
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Yes thats the beauty of MPC, its like an API between the LLM and Tools (apps, services, etc) This is the future of how we will interact with software
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Sesame AI Labs releases code repository on GitHub
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Check the code on git https://
github.com/SesameAILabs/c
sm
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Sesame Labs Releases Advanced Open Source Conversational Speech Model
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I'm speechless Sesame Labs has done the seemingly impossible with their new CSM (conversational speech model) → 1M hours of training data → ULTRA FAST → Voice cloning / watermarking
→ Apache 2.0 licenced
→ Based on llama & mimi Link below -
Chitu: Ancient Chinese Horse-Named AI Project on GitHub
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GitHub: https://
github.com/thu-pacman/chi
tu
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By the way, Chitu (赤兔) is the name of a great horse in ancient China.