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The asyncio library in Python

The asyncio library in Python provides a framework for writing single-threaded concurrent code using coroutines, which are a type of asynchronous function. It allows you to manage asynchronous operations easily and is suitable for I/O-bound and high-level structured network code. Key Concepts Basic Usage Here’s a simple example of using asyncio to run a couple of coroutines: Creating Tasks You can use asyncio.create_task() to schedule a coroutine to run concurrently: Anticipate Futures Futures represent a […]

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Hackathon Challenge:

OpenAI Assistants API Llama-Index/MongoDB In this hackathon, you will build and iterate on an LLM-based application using AI observability to validate the performance of your app. You can choose between two sets of tools for building your app: Tool set 1: The OpenAI Assistants API Tool set 2: Llama-Index, MongoDB and GPT-4. With either choice, you will use TruLens to validate and improve the performance of your application. By bringing together TruEra, OpenAI, Llama-Index, and […]

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Chain of TRUST in LLM

https://galadriel.com/ In the realm of artificial intelligence, verifying that an AI response genuinely came from a specific model and wasn’t tampered with presents a significant challenge. The Chain of Trust in verified AI inference provides a robust solution through multiple layers of security and cryptographic proof. The Foundation: Trusted Execution Environment (TEE) At the core of verified inference lies the Trusted Execution Environment (TEE), specifically AWS Nitro Enclaves. This hardware-isolated environment provides a critical security […]

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