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A Coding Guide to Build a Production-Ready Asynchronous Python SDK with Rate Limiting, In-Memory Caching, and Authentication
OpenAI

A Coding Guide to Build a Production-Ready Asynchronous Python SDK with Rate Limiting, In-Memory Caching, and Authentication

In this tutorial, we guide users through building a robust, production-ready Python SDK. It begins by showing how to install and configure essential...

Sakana AI Introduces Reinforcement-Learned Teachers (RLTs): Efficiently Distilling Reasoning in LLMs Using Small-Scale Reinforcement Learning
OpenAI

Sakana AI Introduces Reinforcement-Learned Teachers (RLTs): Efficiently Distilling Reasoning in LLMs Using Small-Scale Reinforcement Learning

Sakana AI introduces a novel framework for reasoning language models (LLMs) with a focus on efficiency and reusability: Reinforcement-Learned Teachers (RLTs). Traditional reinforcement...

New AI Framework Evaluates Where AI Should Automate vs. Augment Jobs, Says Stanford Study
OpenAI

New AI Framework Evaluates Where AI Should Automate vs. Augment Jobs, Says Stanford Study

Redefining Job Execution with AI Agents AI agents are reshaping how jobs are performed by offering tools that execute complex, goal-directed tasks. Unlike...

VERINA: Evaluating LLMs on End-to-End Verifiable Code Generation with Formal Proofs
OpenAI

VERINA: Evaluating LLMs on End-to-End Verifiable Code Generation with Formal Proofs

LLM-Based Code Generation Faces a Verification Gap LLMs have shown strong performance in programming and are widely adopted in tools like Cursor and...

Do AI Models Act Like Insider Threats? Anthropic’s Simulations Say Yes
OpenAI

Do AI Models Act Like Insider Threats? Anthropic’s Simulations Say Yes

Anthropic’s latest research investigates a critical security frontier in artificial intelligence: the emergence of insider threat-like behaviors from large language model (LLM) agents....

Teaching Mistral Agents to Say No: Content Moderation from Prompt to Response
OpenAI

Teaching Mistral Agents to Say No: Content Moderation from Prompt to Response

In this tutorial, we’ll implement content moderation guardrails for Mistral agents to ensure safe and policy-compliant interactions. By using Mistral’s moderation APIs, we’ll...

Solving LLM Hallucinations in Conversational, Customer-Facing Use Cases
OpenAI

Solving LLM Hallucinations in Conversational, Customer-Facing Use Cases

Or: Why “Can we turn off generation” might be the smartest question in generative AI Not long ago, I found myself in a...

Building Production-Ready Custom AI Agents for Enterprise Workflows with Monitoring, Orchestration, and Scalability
OpenAI

Building Production-Ready Custom AI Agents for Enterprise Workflows with Monitoring, Orchestration, and Scalability

In this tutorial, we walk you through the design and implementation of a custom agent framework built on PyTorch and key Python tooling,...