AI Everyday

Matt Wallace talks about the latest OpenAI announcements regarding the release of GPT-4, its improved speed, cost, and performance compared to other AI models. He explores features like Elo ratings, real-time interactions, and potential applications in coding and vision processing. He also mentions the upcoming release of a desktop app and the free availability of GPT-4.

Matt talks about the big things this week - Gemini 1.5 Pro with 1m token context, and OpenAI text-to-video model Sora, which is generating incredible high-quality videos up to 1 minute long.

7 wild updates from this week in about 8 minutes. #AI moving at crazy speed!

Hands on and discussion around vLLM, high performance inference engine supporting continuous batching and paged attention.

Matt reviews bootpig, a paper/model that provides DreamBooth-style modification of images without fine tuning.

Matt discusses his results from testing Phind-CodeLlama-34B-v2, which beat the GPT-4 zero-shot HumanEval test by a good margin.

Matt discusses Llama2 with GPTQ quantization, which is much more powerful than previous methods of quantizing model weights, and demos text-generation-webui.

Matt gives ChatGPT access to root on a Linux box. It can read and write files and run commands. He tells it to give itself long term memory, and it installs weaviate as a vector db. What's next?!

Matt discusses the paper "How Is ChatGPT’s Behavior Changing over Time?" and the crazy headlines resulting from its publication, that are misleading a lot of folks.

Discussing Llama 2 - where does it stack up, and what does it mean for open LLMs?