Hey ya’ll, welcome to yet another ThursdAI, this is Alex coming at you every ThursdAI, including a live recording this time! Which was incredible, we chatted about Falcon 180B,had a great interview in the end with 3 authors of the YaRN scaling paper and LLongMa 128K context, had 3 breaking news! in the middle, MOJO? has been released and Adept released a LLaMa comparable OSS model (and friend of the pod) @reach_vb showed an open ASR leaderboard on hugging face! We also covered an incredible tiny model called StarCoder 1B that was finetuned by friend of the pod (who joined the space to talk to us about it!) As always, you can listen to the whole 3 hour long form conversation (raw, unedited) on our Zealous page (and add it to your podcatcher via this RSS) and this short-form pod is available on Apple, Spotify and everywhere. ThursdAI - Hey, if you enjoy these, how about subscribing for real? Would love to do this full time! Every paid subscriber is like a dear friend ?TL;DR of all topics covered* Open Source LLM* Falcon 180B announced by TIIUAE (Announcement, Demo)* YaRN scaling paper - scaling LlaMa to 128K context (link)* OpenHermes-13B from @teknium1 (link)* Persimmon-8B from Adept.AI (link)* Starcoder-1B-sft from @abacaj (link) * Big Co LLMs + API updates* OpenAI first ever Dev conference (link)* Claude announces a $20/mo Claude Pro tier (link)* Modular releases Mojo? with 68,000x improvement over python (Link)* Vision* Real time deepfake with FaceFusion (link)* HeyGen released AI avatars and AI video translation with lipsync (link, translation announcement)* Voice* Open ASR (automatic speech recognition) leaderboard from HuggingFace (link)* Tools* LangChain Hub (re) launched * Open Interpreter (Announcement, Github)Open Source LLM? Falcon 180B - The largest open source LLM to date (Announcement, Demo)The folks at the “Technology Innovation Institute” have open sourced the huge Falcon 180B, and have put it up on Hugging Face. Having previously open sourced Falcon 40B, the folks from TIIUAE have given us a huge model that beats (base) LLaMa 2 on several evaluations, if just slightly by a few percentages points. It’s huge, was trained on 3.5 trillion tokens and weights above 100GB as a file and requires 400GB for inference. Some folks were not as impressed with Falcon performance, given it’s parameter size is 2.5 those of LLaMa 2 (and likely it took a longer time to train) but the relative benchmarks is just a few percentages higher than LLaMa. It also boasts an embarrassingly low context window of just 2K tokens, and code was just 5% of it’s dataset, even though we already know that more code in the dataset, makes the models smarter! Georgi Gerganov is already running this model on his M2 Ultra because he’s the Goat, and co-host of ThursdAI spaces, Nisten, was able to run this model with CPU-only and with just 4GB of ram ? We’re waiting for Nisten to post a Github on how to run this monsterous model on just CPU, because it’s incredible! However, given the Apache2 license and the fine-tuning community excitement about improving these open models, it’s an incredible feat. and we’re very happy that this was released! The complete open sourcing also matters in terms of geopolitics, this model was developed in the UAE, while in the US, the export of A100 GPUs was banned to the middle easy, and folks are talking about regulating foundational models, and this release, size and parameter model that’s coming out of the United Arab Emirates, for free, is going to definitely add to the discussion wether to regulate AI, open source and fine-tuning huge models! YaRN scaling LLaMa to 128K context windowLast week, just in time for ThursdAI, we posted about the release of Yarn-Llama-2-13b-128k, a whopping 32x improvement in context window size on top of the base LLaMa from the folks at Nous Research, Enrico Shippole, @theemozilla with the help of Eluether AI.This week, they released the YaRN: Efficient Context Window Extension of Large La