The ADaSci Journal
Field notes for people who ship AI.
504 articles: deep dives on agents and LLM systems, career guides for AI engineers, and case studies from enterprise programmes.
02 · All articles
Everything, newest first.
Browser Use Tutorial: Let AI Agents Control a Browser
A practical Browser Use tutorial: give AI agents control of a web browser with the open-source Python library, from setup to your first automated task.
A Low Code Approach to Build Powerful AI Agents with Smolagents
Learn how Smolagents empowers LLMs to manage dynamic workflows, integrate tools, and enable intelligent, adaptable AI solutions.
Literal AI in Practice: A Comprehensive Guide To RAG Observability
Discover Literal AI and its role in monitoring, analyzing, and optimizing retrieval augmented generation (RAG) pipelines.
Multi-agent Orchestration through OpenAI’s Swarm – A Hands-on Guide
Learn about OpenAI Swarm, an open-source framework for orchestrating multiple agents. Explore its core components and see how it simplifies multi-agent systems.
The Rapid Evolution of Generative AI: Is Your Workforce Prepared?
Rapid AI advancements demand aligning workforce upskilling with technology evolution to ensure timely adoption and competitiveness.
Why do Enterprises Love RAG?
Learn how RAG can transform the enterprise operations and give you a competitive edge in today's data-driven landscape.
Fine-Tuning Pre-Trained Multitask LLMs: A Comprehensive Guide
LLMs are finely tuned to deliver optimal results across diverse tasks.
Diving into AutoGen Studio for Building Multi-Agent Systems
Discover the power of Autogen Studio: a low-code software framework for developing and deploying multi-agent systems.
AgentQL Tutorial: AI-Powered Web Data Extraction
A hands-on AgentQL tutorial: how its query language and architecture extract web data with AI, plus setup and testing in the AgentQL Playground.