Fine-tuning LLMs yourself (on Xebia.com ⧉)
Fine-tuning can be a powerful way to specialised Large Language Models (LLMs). With open source models readily available, it is now also possible to fine-tune yourself. Read along to find out how.
Python Devcontainer with uv
Devcontainers are very powerful. So is uv. How do we combine the two?
Are you ready for MLOps? (on Xebia.com ⧉)
MLOps has survived the hype cycle and is gaining in maturity. But are we looking at MLOps for answers for the right things? When should you even start thinking about MLOps, or when is ‘plain’ DevOps wiser to focus on first?
The GenAI automation potential of data extraction (on Xebia.com ⧉)
GenAI has been around for a little while and its capabilities are expanding quickly. But still, many companies fail to generate actual value with GenAI. Why is that? In this blogpost, we explore the GenAI automation potential that exists today for data extraction.
The Levels of RAG (on Xebia.com ⧉)
LLM’s can be supercharged using a technique called RAG, allowing us to overcome dealbreaker problems like hallucinations or no access to internal data. But what can we expect from RAG? What use cases work well and which are more challenging? Let’s find out together!
RAG on GCP: production-ready GenAI on Google Cloud Platform (on Xebia.com ⧉)
GCP has an increasing set of managed services that can help you build production-ready Retrieval Augmented Generation (RAG) applications. How can you best leverage them to build RAG applications? Let’s explore together. Read along!
Dataset enrichment using LLM’s ✨ (on Xebia.com ⧉)
Large Language Models (LLM's) have proven to be useful for numerous tasks. LLM's can summarise text, generate text, classify text or translate text. What LLM's can also be used for is converting unstructured data to structured data.
Scaling up: bringing your Azure DevOps CI/CD setup to the next level 🚀 (on Xebia.com ⧉)
Azure DevOps pipelines are a great way to automate your CI/CD process. But what if you have many projects? In this blog post, we will show you how you can scale up your Azure DevOps CI/CD setup for reusability and easy maintenance.
