Blogmarks tagged llms in 2023
Filters: Type: blogmark × Year: 2023 × llms × Sorted by date
Browse the BBC In Our Time archive by Dewey decimal code. Matt Webb built Braggoscope, an alternative interface for browsing the 1,000 episodes of the BBC’s In Our Time dating back to 1998, organized by Dewey decimal system and with related episodes calculated using OpenAI embeddings and guests and reading lists extracted using GPT-3. “Using GitHub Copilot to write code and calling out to GPT-3 programmatically to dodge days of graft actually brought tears to my eyes.” # 13th February 2023, 4:03 pm
ChatGPT Is a Blurry JPEG of the Web. Science fiction author Ted Chiang offers a brilliant analogy for ChatGPT in this New Yorker article: it’s a highly lossy compression algorithm for a vast amount of information which works like a JPEG, and uses grammatically correct interpolation to fill back in the missing gaps. “ChatGPT is so good at this form of interpolation that people find it entertaining: they’ve discovered a “blur” tool for paragraphs instead of photos, and are having a blast playing with it.” # 9th February 2023, 9:28 pm
OpenAI Cookbook: Techniques to improve reliability (via) “Let’s think step by step” is a notoriously successful way of getting large language models to solve problems, but it turns out that’s just the tip of the iceberg: this article includes a wealth of additional examples and techniques that can be used to trick GPT-3 into being a whole lot more effective. # 21st January 2023, 5:15 am
Petals (via) The challenge with large language models in the same scale ballpark as GPT-3 is that they’re large—really large. Far too big to run on a single machine at home. Petals is a fascinating attempt to address that problem: it works a little bit like BitTorrent, in that each user of Petal runs a subset of the overall language model on their machine and participates in a larger network to run inference across potentially hundreds of distributed GPUs. I tried it just now in Google Colab and it worked exactly as advertised, after downloading an 8GB subset of the 352GB BLOOM-176B model. # 2nd January 2023, 11:29 pm
nanoGPT. “The simplest, fastest repository for training/finetuning medium-sized GPTs”—by Andrej Karpathy, in about 600 lines of Python. # 2nd January 2023, 11:27 pm