AI & ML Research 3 Days

Last updated: July 16, 2026, 5:30 AM ET

AI Safety and Governance

OpenAI details "reverse to AI governance, where state actions contribute to a national framework for safe AI. They also unveil GPT-Red, an automated system using self-play to enhance AI safety, alignment, and prompt injection robustness. Enterprises can manage by measuring useful work per dollar and scaling high-value workflows in the agentic era.

Retrieval-Augmented Generation (RAG) Systems

A practical guide through continuous evaluation to catch retrieval failures and hallucinations. Many RAG hallucinations, suggesting that fixing the retrieval brick is key to preventing model invention. Another approach, where retrieval becomes a search-read-decide loop.

LLM Evaluation and Development

A post, highlighting that cross-provider PR review with tools like Codex in GitHub Actions offers a better opinion than self-review. For Claude Code sessions before token limits are reached, necessitating methods to govern context. Developers structured LLM cleanly using Pydantic with OpenAI, avoiding manual JSON parsing.

Understanding LLM Internals and Costs

The creativity of diffusion models is. A discussion as a method to address heavy computation in ML algorithms, particularly for generative AI. Measuring actual GPU electricity costs for eight local LLMs on an RTX 3090 that doesn't always scale with model size.

AI in Analytics and Education

One professional in the face of AI advancements. In India, Gemini-powered AI tool ATL Saathi is empowering educators in robotics labs.

Quantum Computing and AI

MIT Technology Review for a massive quantum computer made of light, which would be housed in a data center-like facility. This quantum machine. Discussions also.

AI Alignment and Enterprise Strategy

A framework across purpose, principles, and practices to ensure consistent autonomous behavior aligned with enterprise intent.

Machine Learning Fundamentals

Strategies and processes for in six weeks are detailed, focusing on acing coding interviews. Another piece explaining engagement with industry models predicting behavior, noting stable statistics despite environmental changes.