AI pipelines Archive - Hey-GPT.de - Daily GenAI News Digest

This video demonstrates how to construct a scalable, real-time pipeline for processing documents. It focuses on transforming unstructured data like PDFs and contracts into searchable, enriched information. The core technologies involved are LlamaParse for intelligent document handling and MongoDB for efficient data management.

8. November 2025

GenAI Updates

From Documents to Insights: LlamaParse and MongoDB for Scalable AI Pipelines

From messy PDFs to searchable knowledge, fast If you’ve ever wrestled with contracts, reports, or…

This video introduces DSPy, a framework for incorporating Large Language Models (LLMs) into production systems, specifically demonstrating its use in a geospatial conflation pipeline. It addresses the challenges of writing and managing prompts, which can be unruly and vary by model within large AI pipelines. The session explains how DSPy functions and its benefits for pipeline creators and managers in optimizing LLM integration.

30. Oktober 2025

GenAI Updates

Let the LLM Write the Prompts: An Intro to DSPy in Compound AI Pipelines

Let the LLM Write the Prompts: Why DSPy Matters for Real AI Pipelines If you’ve…