dev-resources.site

A Beginners Guide to LLMOps

LLMOps [Quick Guide]

The power of MIPROv2 - using DSPy optimizers for your LLM-pipelines

Unifying or Separating Endpoints in Generative AI Applications on AWS

📚 Download My DevOps and LLMOps Books for Free!📚

Deploying LLM Inference Endpoints & Optimizing Output with RAG

End to End LLMOps Pipeline - Part 8 - AWS EKS

🤖 End to end LLMOps Pipeline - Part 7- Validating Kubernetes Manifests with kube-score🤖

📚 Announcing My New Book: Building an LLMOps Pipeline Using Hugging Face 📚

End to end LLMOps Pipeline - Part 2 - FastAPI

End to end LLMOps Pipeline - Part 1 - Hugging Face

Bridging the Gap: Integrating Responsible AI Practices into Scalable LLMOps for Enterprise Excellence

Building a Traceable RAG System with Qdrant and Langtrace: A Step-by-Step Guide

FastAPI for Data Applications: Dockerizing and Scaling Your API on Kubernetes. Part II

FastAPI for Data Applications: From Concept to Creation. Part I

Evaluation of OpenAI Assistants

Vector stores and embeddings: Dive into the concept of embeddings and explore vector store integrations within LangChain

Finding the Perfect Model for Your Project on the Hugging Face Hub

The Future of Natural Language APIs

How do you know that an LLM-generated response is factually correct? 🤔

The Era of LLM Infrastructure

Launching LLM apps? Beware of prompt leaks

Small Language Models are Going to Eat the World.

No Code: Dify's Open Source App Building Revolution

Pipeline Parallelism in PyTorch

Orquesta raises €800,000 in pre-seed funding!

Lifecycle of a Prompt: A Guide to Effective Prompts

Integrate Orquesta with LangChain

LLM Analytics 101 - How to Improve your LLM app

Build an AI App in 5 Minutes without Coding