Streaming Pipelines for Fine-tuning LLMs and RAG in Real-Time
In the 4th lesson, we will focus on the feature pipeline. The feature pipeline is the first pipeline presented in the 3 pipeline architecture: feature, training and inference…
Change Data Capture: Enabling Event-Driven Architectures
We have changes everywhere. Linkedin, Medium, Github, Substack can be updated everyday. To be able to have or Digital Twin…
The Importance of Data Pipelines in the Era of Generative AI
We have data everywhere. Linkedin, Medium, Github, Substack, and many other platforms. To be able to build your Digital Twin,…
An End-to-End Framework for Production-Ready LLM Systems by Building Your LLM Twin
→ the 1st out of 11 lessons of the LLM Twin free course What is your LLM Twin? It is an AI character…
Organize Your Prompt Engineering with CometLLM
Introduction Prompt Engineering is arguably the most critical aspect in harnessing the power of Large Language Models (LLMs) like ChatGPT. Whether…
Comparison of NVIDIA A100, H100 + H200 GPUs
A significant player is pushing the boundaries and enabling data-intensive work like HPC and AI: NVIDIA! This blog will briefly…
Introduction to Prompt Templates in LangChain
A Deep Dive into Structured Language Model Interactions Photo by Sigmund on Unsplash Language models have rapidly evolved to become a…
