We discuss: OpenAI's Dev Day, 128k tokens, Claude, model distillation, ensemble models, GPT4, inference, attention mechanism, tokenizer, fine tuning, retrieval, code interpreter, JSON validator, GPT store, App store, GPT-4 Vision, ChatGPT-4 Turbo, input tokens, output tokens, prompts, context window, context side,

This is the first episode of Using AI Series 2!

I’m Alex Denne, joined once more by ML Research Scientist Alex Pap and AI Startup Founder Nitish Mutha.

We are only a few weeks ago from the anniversary of ChatGPT being released, and OpenAI have just hosted their Dev Day, with some big announcements. We’ve been busy too - attending events in the run up to the UK’s AI Safety Summit.

News links and info

• https://openai.com/blog/new-models-and-developer-products-announced-at-devday


• GPT-4 Turbo is 3x cheaper for input tokens and 2x cheaper for output compared to GPT-4


• GPT-4 Turbo offers a 128,000-token context window (equivalent to a 190 page word document) — surpassing Anthropic’s Claude 2


• GPT-4 Turbo, GPT-4 Vision, DALL-E 3 & TTS api access + JSON Validation


• https://openai.com/blog/introducing-gpts


• New Whisper large-v3 model


• Open AIs “Copyright Shield”


• https://platform.openai.com/tokenizer

Watch USING AI on youtube

⁠https://www.youtube.com/channel/UCHsQu4IipA7Ri2AqKcQZ1Yw⁠