ThursdAI - The top AI news from the past week

🔥 ThursdAI - Feb 15, 2024 - OpenAI changes the Video Game, Google changes the Context game, and other AI news from past week

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Holy SH*T,

These two words have been said on this episode multiple times, way more than ever before I want to say, and it's because we got 2 incredible exciting breaking news announcements in a very very short amount of time (in the span of 3 hours) and the OpenAI announcement came as we were recording the space, so you'll get to hear a live reaction of ours to this insanity.

We also had 3 deep-dives, which I am posting on this weeks episode, we chatted with Yi Tay and Max Bane from Reka, which trained and released a few new foundational multi modal models this week, and with Dome and Pablo from Stability who released a new diffusion model called Stable Cascade, and finally had a great time hanging with Swyx (from Latent space) and finally got a chance to turn the microphone back at him, and had a conversation about Swyx background, Latent Space, and AI Engineer.

I was also very happy to be in SF today of all days, as my day is not over yet, there's still an event which we Cohost together with A16Z, folks from Nous Research, Ollama and a bunch of other great folks, just look at all these logos! Open Source FTW 👏

TL;DR of all topics covered:

* Breaking AI News

* 🔥 OpenAI releases SORA - text to video generation (Sora Blogpost with examples)

* 🔥 Google teases Gemini 1.5 with a whopping 1 MILLION tokens context window (X, Blog)

* Open Source LLMs

* Nvidia releases Chat With RTX local models (Blog, Download)

* Cohere open sources Aya 101 - 101 languages supporting 12.8B model (X, HuggingFace)

* Nomic releases Nomic Embed 1.5 + with Matryoshka embeddings (X)

* Big CO LLMs + APIs

* Andrej Karpathy leaves OpenAI (Announcement)

* OpenAI adds memory to chatGPT (X)

* This weeks Buzz (What I learned at WandB this week)

* We launched a new course with Hamel Husain on enterprise model management (Course)

* Vision & Video

* Reka releases Reka-Flash, 21B & Reka Edge MM models (Blog, Demo)

* Voice & Audio

* WhisperKit runs on WatchOS now! (X)

* AI Art & Diffusion & 3D

* Stability releases Stable Casdade - new AI model based on Würstchen v3 (Blog, Demo)

* Tools & Others

* Goody2ai - A very good and aligned AI that does NOT want to break the rules (try it)

🔥 Let's start with Breaking News (in the order of how they happened)

Google teases Gemini 1.5 with a whopping 1M context window

This morning, Jeff Dean released a thread, full of crazy multi modal examples of their new 1.5 Gemini model, which can handle up to 1M tokens in the context window. The closest to that model so far was Claude 2.1 and that was not multi modal. They also claim they are researching up to 10M tokens in the context window.

The thread was chock full of great examples, some of which highlighted the multimodality of this incredible model, like being able to pinpoint and give a timestamp of an exact moment in an hour long movie, just by getting a sketch as input. This, honestly blew me away. They were able to use the incredible large context window, break down the WHOLE 1 hour movie to frames and provide additional text tokens on top of it, and the model had near perfect recall.

They used Greg Kamradt needle in the haystack analysis on text, video and audio and showed incredible recall, near perfect which highlights how much advancement we got in the area of context windows. Just for reference, less than a year ago, we had this chart from Mosaic when they released MPT. This graph Y axis at 60K the above graph is 1 MILLION and we're less than a year apart, not only that, Gemini Pro 1.5 is also multi modal

I got to give promps to the Gemini team, this is quite a huge leap for them, and for the rest of the industry, this is a significant jump in what users will expect going forward! No longer will we be told "hey, your context is too long" 🤞

A friend of the pod Enrico Shipolle joined the stage, you may remember him from our deep dive into extending Llama context window to 128K and showed that a bunch of new research makes all this possible also for open source, so we're waiting for OSS to catch up to the big G.

I will sum up with this, Google is the big dog here, they invented transformers, they worked on this for a long time, and it's amazing to see them show up like this, like they used to do, and blow us away! Kudos 👏

OpenAI teases SORA - a new giant leap in text to video generation

You know what? I will not write any analysis, I will just post a link to the blogpost and upload some videos that the fine folks at OpenAI just started releasing out of the blue.

You can see a ton more videos on Sam twitter and on the official SORA website

Honestly I was so impressed with all of them, that I downloaded a bunch and edited them all into the trailer for the show!

Open Source LLMs

Nvidia releases Chat With RTX

Chat With Notes, Documents, and Video

Using Gradio interface and packing 2 local modals, Nvidia releases a bundle with open source AI packaged, including RAG and even Youtube transcriptions chat!

Chat with RTX supports various file formats, including text, pdf, doc/docx, and xml. Simply point the application at the folder containing your files and it'll load them into the library in a matter of seconds. Additionally, you can provide the url of a YouTube playlist and the app will load the transcriptions of the videos in the playlist, enabling you to query the content they cover.

Chat for Developers

The Chat with RTX tech demo is built from the TensorRT-LLM RAG developer reference project available from GitHub. Developers can use that reference to develop and deploy their own RAG-based applications for RTX, accelerated by TensorRT-LLM.

This weeks Buzz (What I learned with WandB this week)

We just released a new course! Hamel Hussein released a course on enterprise model management!

Course name: Enterprise Model ManagementCourse Link: wandb.me/emm-courseWho is this for: The course is targeted at enterprise ML practitioners working with models: MLOps engineers, ML team leaders, ML engineers. It shows both at conceptual and technical level how to get the most value of W&B Model Registry and automations. Attached is also a screenshot of a slide from the course on what different personas (MLOps, ML exec etc) get from Model Registry.What can they expect: Learn how to store, version, and evaluate models like top enterprise companies today, using an LLM training & evaluation example. Big value props: improved compliance, collaboration, and disciplined model development.

Vision & Video

Reka releases Reka Flash and Reka Edge multimodal models

Reka was co-founded by Yi Tay, previously from DeepMind, trained and released 2 foundational multimodal models, I tried them and was blown away by the ability of the multi-modals to not only understand text and perform VERY well on metrics (73.5 MMLU / 65.2 on HumanEval) but also boasts incredible (honestly, never before seen by me) multi modal capabilities, including understanding video!

Here's a thread of me getting my head continuously blown away by the quality of the tonality of this multimodality (sorry...😅)

I uploaded a bunch of video examples and was blown away, it understands tonality (with the dive dive Diiiiive example) understands scene boundaries, and does incredible OCR between scenes (the Jason/Alex example from speakers)

AI Art & Diffusion

Stable Cascade (link)

Stability AI introduced a new text-to-image generation model called Stable Cascade that uses a three-stage approach to produce high-quality images with a compressed latent space, making it more efficient to train and use than previous models. It achieved better results than other models in evaluations while having faster inference speeds. The company released code to train, fine-tune, and use control models like inpainting with Stable Cascade to enable further customization and experimentation. Stability AI aims to lower barriers to AI development through models like this one.

Nate did a comparison between a much slower SDXL and Stable Cascade here:

Here’s the transcript for the whole episode, you definitely should check…



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