Essential interview questions designed for AI enthusiasts and professionals focusing on Large Language Models (LLMs).

The content systematically covers the foundational architectural elements of LLMs, explaining core concepts such as tokenization, the attention mechanism, and the function of the context window.

It differentiates advanced fine-tuning techniques like LoRA versus QLoRA and details sophisticated generation strategies, including beam search and temperature control.

Furthermore, the document addresses critical training mathematics, discussing topics like cross-entropy loss and the application of the chain rule in gradient computation. The resource concludes by reviewing modern applications like Retrieval-Augmented Generation (RAG) and the significant challenges LLMs face in real-world deployment.

Source: https://booking.ai/building-a-genai-agent-for-partner-guest-messaging-f54afb72e6cf

Author : Başak Tuğçe Eskili

Technical evaluation of Pipedream, an integration platform designed to bridge the gap between simple no-code tools and complex, raw serverless infrastructure like AWS Lambda. It details Pipedream's core serverless architecture, highlighting its support for multiple coding languages (Node.js, Python, Go, Bash) and its managed dependency resolution that simplifies developer workflow.

The document also explores advanced features crucial for enterprise readiness, such as built-in state management (Data Stores), robust flow control mechanisms for concurrency and throttling, and high-level compliance including SOC 2 Type 2 and HIPAA.

Furthermore, the evaluation covers the Connect product for embedding integrations into SaaS applications and analyzes the platform's cost-efficiency under a Compute Credit pricing model, suggesting significant savings compared to task-based competitors like Zapier.