How to Fine-Tune LLMs on Custom Datasets at Scale using Qwak and Comet
Welcome to Lesson 7 of 11 in our free course series, LLM Twin: Building Your Production-Ready AI Replica. You’ll learn…
The Role of Feature Stores in Fine-Tuning LLMs
Welcome to Lesson 6 of 11 in our free course series, LLM Twin: Building Your Production-Ready AI Replica. You’ll learn…
4 Advanced RAG Algorithms to Optimize Retrieval
Welcome to Lesson 5 of 11 in our free course series, LLM Twin: Building Your Production-Ready AI Replica. You’ll learn…
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…
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…
Enhance Conversational Agents with LangChain Memory
LangChain Conversation Memory Types: Pros & Cons, and Code Examples When it comes to chatbots and conversational agents, the ability…
Logging YOLOPandas 🐼 with Comet-LLM
I wrote an article on how you can explore your data with YOLOPandas and Comet, and you can find the…