Simon Willison’s Weblog

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Wednesday, 30th August 2023

Datasette 1.0a4 and 1.0a5, plus weeknotes

Two new alpha releases of Datasette, plus a keynote at WordCamp, a new LLM release, two new LLM plugins and a flurry of TILs.

[... 2,709 words]

Llama 2 is about as factually accurate as GPT-4 for summaries and is 30X cheaper. Anyscale offer (cheap, fast) API access to Llama 2, so they’re not an unbiased source of information—but I really hope their claim here that Llama 2 70B provides almost equivalent summarization quality to GPT-4 holds up. Summarization is one of my favourite applications of LLMs, partly because it’s key to being able to implement Retrieval Augmented Generation against your own documents—where snippets of relevant documents are fed to the model and used to answer a user’s question. Having a really high performance openly licensed summarization model is a very big deal.

# 2:37 pm / ai, generative-ai, llama, gpt-4, llms, rag

WebLLM supports Llama 2 70B now. The WebLLM project from MLC uses WebGPU to run large language models entirely in the browser. They recently added support for Llama 2, including Llama 2 70B, the largest and most powerful model in that family.

To my astonishment, this worked! I used a M2 Mac with 64GB of RAM and Chrome Canary and it downloaded many GBs of data... but it worked, and spat out tokens at a slow but respectable rate of 3.25 tokens/second.

# 2:41 pm / ai, webassembly, generative-ai, llama, llms, mlc, webgpu

excalidraw.com (via) Really nice browser-based editor for simple diagrams using a pleasing hand-sketched style, with the ability to export them as SVG or PNG.

# 4:30 pm / svg