Production-Ready RAG (Retrieval-Augmented Generation)  on AWS

Discover how to implement Retrieval-Augmented Generation (RAG) in production, addressing challenges like data relevance, query efficiency, and security. Learn about tools like RAGAS, LangFuse, and Garak to optimize pipelines, enhance debugging, and secure outputs for large language model (LLM) applications. Perfect for developers, data scientists, and AI professionals, this session offers actionable strategies to elevate […]

GitHub Actions and AWS – Best friends

Join Juan Sánchez, an experienced DevOps engineer from Automat-it, for a webinar focused on optimizing AWS cloud deployments using GitHub Actions. This session covers essential topics such as securing AWS environments with OpenID Connect and IAM roles, best practices for codebase security using GitHub tools, creating custom GitHub actions for AWS efficiency, and leveraging self-hosted […]

MLOps vs LLMOps: Demystifying Buzzwords

Explore MLOps, LLMOps, and DevOps. Compare these approaches, and learn how LLMOps empowers AI deployment with AWS.

Building a Landing zone with AWS Control Tower

Learn to build a secure cloud foundation with AWS Control Tower. Our AWS expert will guide you through the key principles and best practices for establishing a Landing Zone with AWS Control Tower.

Strategies for Optimizing RAG and Insights into Anodot’s CostGPT Creation

Learn about CostGPT and advanced RAG. Implementing RAG (Retrieval-Augmented Generation) in production poses challenges like data relevance, query efficiency, and security. The first part aims to tackle these issues.

From Theory to Practice

Bridging Generative AI Insights to Real-world Impact with LLM and Diffusion Models

Supercharging AI/ML with AWS & Automat-it

You can do great things with machine learning, from powering chatbots and virtual assistants to treating cancer.