An AI Hedge Fund Team. Contribute to virattt/ai-hedge-fund development by creating an account on GitHub.

Learn all the basics and best practices of fine-tuning. Beginner-friendly.

Bex AI is a Jira plugin that integrates security into your software development process, helping you design secure applications from the start. It analyzes Jira tasks, provides risk assessments, and suggests actionable security improvements without leaving…

Part of MLOps with Databricks course by Marvelous MLOps: https://maven.com/marvelousmlops/mlops-with-databricks

Guest lecture by Paul Iusztin + Q&A.

Paul gave a presentation on architecting #LLM & RAG systems and walked through:

- the fundamentals (RAG…

Vinija's detailed AI Notes

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning." - MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning

If you've wondered how a PM can grow their comp from $50K to $750K/year, this episode is for you. Satish Mummareddy did exactly that by growing to IC7 PM at Meta.

We tell the whole story:

Preview – 00:00:00
Breaking into Product Management – 00:01:01
Salary…

Code and Slides. Contribute to hamzafarooq/building-llm-applications-from-scratch development by creating an account on GitHub.

The thinking process behind any AI system.

A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews. - alirezadir/Machine-Learning-Interviews

Discover how Predibase's end-to-end reinforcement fine-tuning platform enables developers to build specialized AI models that outperform larger foundation models—even with limited labeled data.

Notebooks and sample code for Build On Trainium. Contribute to aws-neuron/neuron-workshops development by creating an account on GitHub.

Building the future of AI with AWS Trainium.

The 40 Rules of Machine Learning Engineering

That Will Give You a PhD in real-world ML Without Scars & Tears:

❯ Before Machine Learning

 #1 - Do not default to Machine Learning
 #2 - Quantify the problem before considering ML 
 #3 - Implement metrics…

By Ko-Jen Hsiao, Yesu Feng and Sudarshan Lamkhede

Composable building blocks to build Llama Apps. Contribute to meta-llama/llama-stack development by creating an account on GitHub.

Practice Machine Learning and Data Science Problems