OpenAI

🔹 History

OpenAI was founded in December 2015 by Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, John Schulman, and Wojciech Zaremba, with the goal of promoting and developing friendly AI in a way that benefits humanity as a whole. Initially established as a non-profit, OpenAI transitioned to a "capped-profit" model in 2019 to attract capital while aligning with its mission.

🔹 Mission

Ensure that artificial general intelligence (AGI) benefits all of humanity.

OpenAI strives to create safe and powerful AI systems and ensure their long-term positive impact.

🔹 Vision

To build highly autonomous systems that outperform humans at economically valuable work, while ensuring that their deployment is aligned with human values.

🔹 Core Values

• Broadly Beneficial – AI should benefit all of humanity.
• Long-Term Safety – Committed to researching long-term risks and aligning AI.
• Technical Leadership – World-class capabilities in AI research and deployment.
• Cooperation – Actively cooperates with other institutions to address global challenges.

🛠️ Products & Services

Product / Service	Description
ChatGPT	Conversational AI assistant available via web or API
GPT-4 / GPT-4o	Latest multimodal LLMs (text, image, audio, code understanding)
DALL·E	AI model to generate and edit images from text prompts
Whisper	Automatic speech recognition (ASR) model for transcriptions
Codex	LLM fine-tuned for programming/code generation
GitHub Copilot	AI pair programmer built on Codex (with GitHub + Microsoft)
OpenAI API	API access to all major OpenAI models
GPT Store	A marketplace for custom GPT-powered agents
Operator	Experimental AI agent that interacts with the web and executes tasks
Embeddings + RAG	Vector search and Retrieval-Augmented Generation with APIs

⚙️ Latest Technologies & Trends

• GPT-4o (Omni Model) – Multimodal (text, image, audio) input/output with real-time capabilities.
• Function Calling / Tools API – Letting models call external tools and APIs safely.
• Retrieval-Augmented Generation (RAG) – Combining private data with LLMs for contextual accuracy.
• Assistants API – Structuring AI interactions like multi-turn agents with memory and tools.
• Custom GPTs – Create no-code GPT apps with files, APIs, and instructions.
• OpenAI Whisper – Efficient open-source speech-to-text model.
• Model Fine-tuning – API-based fine-tuning for specific business domains.
• Long Context Windows – GPT models that support up to 128k tokens.
• AI Safety & Alignment Research – Leading efforts in interpretability and control.