ODSC - Open Data Science

APRIL 1, 2025

Adaptive RAG Systems with Knowledge Graphs: Building Smarter LLM Pipelines David vonThenen, Senior AI/ML Engineer at DigitalOcean Unlock the full potential of Retrieval-Augmented Generation by embedding adaptive reasoning with knowledge graphs. Perfect for developers looking to go from zero to deployed.

Neural Network 52

Neural Network LLM Software Engineer AI 52

Towards AI

AUGUST 24, 2023

Common mistakes and misconceptions about learning AI/ML Markus Spiske on Unsplash A common misconception of beginners is that they can learn AI/ML from a few tutorials that implement the latest algorithms, so I thought I would share some notes and advice on learning AI. Trying to learn AI from research papers.

Neural Network 98

Neural Network Software Engineer Algorithm Machine Learning 98

Towards AI

AUGUST 25, 2023

As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). In a nutshell, AI Engineering is the application of software engineering best practices to the field of AI.

Software Engineer 98

Software Engineer Machine Learning Neural Network Data Science 98

Pickl AI

JULY 14, 2023

Machine Learning and Neural Networks (1990s-2000s): Machine Learning (ML) became a focal point, enabling systems to learn from data and improve performance without explicit programming. Techniques such as decision trees, support vector machines, and neural networks gained popularity.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

TheSequence

JANUARY 19, 2024

You probably don’t need ML engineers In the last two years, the technical sophistication needed to build with AI has dropped dramatically. At the same time, the capabilities of AI models have grown. ML engineers used to be crucial to AI projects because you needed to train custom models from scratch.

Prompt Engineering 59

Prompt Engineering Prompt Engineer Generative AI Large Language Models 59

ODSC - Open Data Science

FEBRUARY 25, 2025

Topics Include: Agentic AI DesignPatterns LLMs & RAG forAgents Agent Architectures &Chaining Evaluating AI Agent Performance Building with LangChain and LlamaIndex Real-World Applications of Autonomous Agents Who Should Attend: Data Scientists, Developers, AI Architects, and ML Engineers seeking to build cutting-edge autonomous systems.

Data Scientist 52

Data Scientist Large Language Models Machine Learning ML Engineer 52

ODSC - Open Data Science

FEBRUARY 21, 2025

Learn how to create benchmarks, catch hallucinations, select meaningful metrics, and monitor AI agent failure modes, turning evaluation into a key driver for success in your AI applications. This workshop provides hands-on experience in building adaptive AI applications that evolve with real-time feedback.

Software Engineer 52

Software Engineer Data Scientist LLM Neural Network 52