📅 ThursdAI - April 25 - Phi-3 3.8B impresses, LLama-3 gets finetunes, longer context & ranks top 6 in the world, Snowflake's new massive MoE and other AI news this week
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Hey hey folks, happy ThursdAI 🎉 Not a lot of house-keeping here, just a reminder that if you're listening or reading from Europe, our European fullyconnected.com conference is happening in May 15 in London, and you're more than welcome to join us there. I will have quite a few event updates in the upcoming show as well. Besides this, this week has been a very exciting one for smaller models, as Microsoft teased and than released Phi-3 with MIT license, a tiny model that can run on most macs with just 3.8B parameters, and is really punching above it's weights. To a surprising and even eyebrow raising degree! Let's get into it 👇 ThursdAI - Recaps of the most high signal AI weekly spaces is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. TL;DR of all topics covered: * Open Source LLMs * Microsoft open sources Phi-3 (X, HF) * LLama3 70B top5 (no top 6) on LMsys (LMsys Arena) * Snowflake open sources Arctic - A massive hybrid MoE (X, Try it, HF) * Evolutionary Model merges support in MergeKit (Blog) * Llama-3 8B finetunes roundup - Longer Context (128K) and Dolphin & Bagel Finetunes * HuggingFace FINEWEB - a massive 45TB (the GPT4 of datasets) and 15T tokens high quality web data dataset (HF) * Cohere open sourced their chat interface (X) * Apple open sources OpenElm 4 models + training library called corenet (HF, Github, Paper) * Big CO LLMs + APIs * Google Gemini 1.5 pro is #2 on LMsys arena * Devin is now worth 2BN and Perplexity is also a Unicorn * A new comer called Augment (backed by Eric Schmidt) is now coming out of stealth (X) * Vision & Video * Adobe releases VideoGigaGAN - high quality upscaler with temporal consistency (paper) * TLDraw autocomplete UI demo (X) * This Weeks Buzz - What I learned in WandB this week * Joe Spisak talk about Llama3 on Stage at WandB Fully connected (Full Talk, TLDR) * Voice & Audio * Play.ai (previously play.ht) releases conversational Voice AI platform (X) * AI Art & Diffusion & 3D * IMGsys.org- like LMsys but for image generation model + leaderboard from FAL (try it) * Tools & Hardware * Rabbit R1 release party & no shipping update in sight * I'm disillusioned about my AI Pin and will return it Open Source LLMs Llama-3 1 week-aversary 🎂 - Leaderboard ranking + finetunes Well, it's exactly 1 week since we got Llama-3 from Meta and as expected, the rankings show a very very good story. (also it was downloaded over 1.2M times and already has 600 derivatives on HuggingFace) Just on Monday, Llama-3 70B (the bigger version) took the incredible 5th place (now down to 6th) on LMSys, and more surprising, given that the Arena now has category filters (you can filter by English only, Longer chats, Coding etc) if you switch to English Only, this model shows up 2nd and was number 1 for a brief period of time. So just to sum up, an open weights model that you can run on most current consumer hardware is taking over GPT-4-04-94, Claude Opus etc' This seems dubious, because well, while it's amazing, it's clearly not at the level of Opus/Latest GPT-4 if you've used it, in fact it fails some basic logic questions in my tests, but it's a good reminder that it's really hard to know which model outperforms which and that the arena ALSO has a bias, of which people are using it for example and that evals are not a perfect way to explain which models are better. However, LMsys is a big component of the overall vibes based eval in our community and Llama-3 is definitely a significant drop and it's really really good (even the smaller one) One not so surprising thing about it, is that the Instruct version is also really really good, so much so, that the first finetunes of Eric Hartfords Dolphin (Dolphin-2.8-LLama3-70B) is improving just a little bit over Meta's own instruct version, which is done very well. Per Joe Spisak (Program Manager @ Meta AI) chat at the Weights & Biases conference last week (which you
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