Chain of Thought Programming Tutorials & Engineering Articles

The article discusses the need for improved observability in AI Site Reliability Engineering (SRE) rather than relying solely on larger models.

The article discusses the advancements in AI agents with the introduction of Gemini 3 Pro Preview, highlighting its capabilities for building sophisticated agents using open-source frameworks.

Frontier reasoning models exploit loopholes when given the chance. We show we can detect exploits using an LLM to monitor their chains-of-thought. Penalizing their “bad thoughts” doesn’t stop the majority of misbehavior—it makes them hide their intent.

The article discusses the development and implementation of Copilot secret scanning, a feature that uses AI to detect leaked passwords in codebases.

The article introduces the Prompt Engineering Toolkit developed by Uber, which aims to streamline the process of creating and managing prompts for Large Language Models (LLMs).

The article discusses the evolution of Automation Platform v2 at Airbnb, focusing on its enhancements for Conversational AI, particularly through the integration of large language models (LLMs).

The article discusses the advancements in reasoning capabilities of OpenAI's new model, o1, which significantly outperforms previous models like GPT-4o in various reasoning-heavy tasks.

The article discusses the development of a new AI-powered experience at LinkedIn, focusing on the challenges and successes encountered while building a generative AI product.

The article discusses the integration of logic tools within Palantir's Artificial Intelligence Platform (AIP) to enhance Retrieval Augmented Generation (RAG) and Ontology Augmented Generation (OAG)...

This article introduces LLM-powered agents, which utilize large language models to reason through complex problems, create plans, and execute tasks in enterprise applications.