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21 blog available in the ChatGPT directory
Unlock the power of ChatGPT's core models, `gpt-3.5-turbo` and `gpt-4`, by mastering input formatting via the OpenAI API. Build custom apps that send message sequences to receive intelligent AI-generated responses. This guide showcases practical API call examples for seamless integration.
Explore practical chat completions with Azure OpenAI service in this example. Gain key insights into effective content filtering to ensure safe and reliable interactions.
API IntegrationDiscover how to supercharge GPT models by integrating external functions through the Chat Completions API. Generate precise function arguments and execute them to extend AI capabilities. Ideal for developers building smarter applications.
API IntegrationStruggling to find relevant info in a sea of data? Discover a hybrid AI method that leverages existing search APIs like News API, combines query generation with semantic re-ranking, and delivers precise answers without needing a vector database. Fast, scalable, and easy to integrate!
Dive into this notebook to master function calling with Azure OpenAI. Extend model powers to external tools and data sources effortlessly. Perfect for developers—requires GPT-4 or GPT-3.5-Turbo -0613+ models.
Harness Weights & Biases OpenAI integration to track API calls and uncover LLM usage patterns across projects. Generate customizable Weave Boards for monitoring cost, latency, and throughput. Dive into interactive dashboards to query logs and share insights effortlessly.
API IntegrationGain control over your AI outputs with the new `seed` parameter for mostly reproducible results in Chat Completions. Monitor changes via `system_fingerprint` to ensure consistency. Beta feature for `gpt-4-1106-preview` and `gpt-3.5-turbo-1106`.
API IntegrationExplore the `logprobs` parameter in OpenAI's Chat Completions API to reveal token probabilities and model confidence. Gain insights into alternative tokens, score outputs, and boost tasks like classification and evaluation. Perfect for developers seeking deeper control over AI generations.
Enhance your LLM apps with the Moderation API to prevent harmful content. This guide dives into input/output moderation and custom rules, complementing the Guardrails Cookbook for total safety control. Simple examples and trade-offs help you implement effectively.
Unlock cost savings and higher rate limits with the new Batch API for async jobs. Batches complete in under 24 hours, ideal for large-scale tasks like tagging, analysis, and more. Follow this guide for practical examples with gpt-4o-mini.
Structured Outputs ensures your AI responses always match a predefined JSON schema, making apps more reliable. Enable it easily with `strict: true` in Chat Completions or Assistants APIs. Dive into practical examples for UI displays, data extraction, and tool integrations.
Unlock the power of Retool Workflows in your Custom GPTs with this step-by-step guide. Send natural language inputs via webhooks, process them in Retool, and get JSON responses back to ChatGPT. Perfect for custom code, vector searches, and internal service access.
Discover how to supercharge Canvas LMS with ChatGPT's Custom Actions for smarter course assistance, personalized exams, and seamless AI integration. This guide covers authentication, real-world use cases, and ready-to-use API schemas to elevate educational workflows.
Supercharge HR with ChatGPT and Workday integration via Custom Actions. Employees can submit PTO, fetch personal details, and check benefits effortlessly. Follow this step-by-step guide for OAuth setup and API implementation.
Default dashboards suffice for many, but unlock deeper insights with OpenAI's Completions Usage and Costs APIs. This guide walks you through fetching data, parsing it with pandas, and creating stunning visualizations with matplotlib to track token usage and model performance.
RAG might seem daunting for PDF searches, but it doesn't have to be complex. Use OpenAI's hosted File Search in the Responses API to skip manual parsing, chunking, and vector DB setup. This cookbook demonstrates uploading OpenAI blog PDFs to query and generate grounded answers.
Evals API empowers task-focused, iterative testing to track LLM performance and spot prompt-induced regressions. Using stored chat completions, ensure your updates improve rather than degrade results. Ideal for production monitoring and optimization.
OpenAI's reasoning models like o3 and o4-mini bring advanced chain-of-thought capabilities to function calling, excelling in complex tasks. Learn the API nuances to harness their power for coding, planning, and agentic workflows effortlessly.
Supercharge your applications using OpenAI's Responses API paired with cutting-edge reasoning models for smarter results, slashed costs, and streamlined token usage. Access reasoning summaries, hosted-tool capabilities, and future-ready enhancements for ultimate flexibility.
Unlock the secrets of handling raw Chain of Thought (CoT) in GPT-OSS for superior tool calling and safety research. This guide covers Harmony templates, Chat Completions API, and Responses API specs to keep raw CoT secure from end users while preserving performance. Essential for developers building robust AI interfaces.
Launch your integration with the OpenAI Compliance Logs Platform using this hands-on notebook. Focus on downloading log files for smooth ingestion into your SIEM or data lake. Ideal for compliance monitoring and security workflows.