ʟᴇɢɪᴛ @legit_rumors
🅂🄻🄸🄶🄷🅃🄻🅈 🄲🄾🄽🅂🄲🄸🄾🅄🅂 🄰🅂🄸 🄴🄽🄹🄾🅈🄴🅁 Earth, probably Joined October 2018-
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gpt2-chatbot speculation "model𝘀" - Jason (@ OpenAI) "release𝘀" - lmsysorg 😶 😮 🥲
Capabilities of Gemini Models in Medicine abs: arxiv.org/abs/2404.18416
💫 Copilot Workspace is our next step towards AI-native tools for developers. Go from task to code using the power of natural language. Read more about our vision for the future of developer tools that help you get things done, every step of the way 👇 github.blog/2024-04-29-git…
Big day tomorrow. Can't wait for y'all to see what we've been working on 🚀🔜
if you're interesting in upcoming features for google gemini, here's a treat
if you're interesting in upcoming features for google gemini, here's a treat
some users now have access to tools that give Microsoft Copilot deeper integration with the Windows OS there is also a new Phone plugin for basic actions to take on your phone like: - contacts lookup - read SMS - send SMS and Power Automate tool for handling emails + files 📁
Here is also a short video preview of the new SearchGPT (Sonic / search [.] ChatGPT [.] com)
the fact that these are new *staging* subdomains is a good sign staging environments are usually near identical setups to production env usually for final testing before release 👀 my short break has given me some patience so I'm sane again 🥹 please cook, sam and the team
the fact that these are new *staging* subdomains is a good sign staging environments are usually near identical setups to production env usually for final testing before release 👀 my short break has given me some patience so I'm sane again 🥹 please cook, sam and the team https://t.co/XNKJCCcAbj
People adjust so fast, they seem to really underestimate how absurd and sci-fi-ridiculous the present is from the perspective of the past
Yes, Sonic - SNC (SearchGPT) agent seems to be already in eval phase with: - image search - widgets (weather, calculator, sports, finance and timezone difference) - option to ask follow-up prompts Using GPT-4 Lite (Scallion; POR), GPT-4 or GPT3.5 (Sahara-V) as model and…
Yes, Sonic - SNC (SearchGPT) agent seems to be already in eval phase with: - image search - widgets (weather, calculator, sports, finance and timezone difference) - option to ask follow-up prompts Using GPT-4 Lite (Scallion; POR), GPT-4 or GPT3.5 (Sahara-V) as model and… https://t.co/qaFyFGcbyZ
Joscha Bach says agents have the ability to model future states and choose amongst them based on preferences
How the 'Air head' video was made by shy kids using SORA.
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Iterative Reasoning Preference Optimization abs: arxiv.org/abs/2404.19733 New paper from Meta applying iterative preference optimization to improve reasoning: generate chain-of-thought candidates with LLM, construct preference pairs based on if answer is correct or not, train…
Why do models always converge to screwing up only the top right region the better they are in needle-in-the-haystack? Is there a phenomenon behind this? Is it some properties of RoPE?
@manic_pixie_agi i just schploomed my loom reading this
I asked gpt2-chatbot to generate a simple programm for turning doodles into art. Every other model I've tested fails at this. They get a doodle function, but the button does nothing of artistic value. gpt2-chat's attempt:
7. Eventually there would be an open source one, maybe the first ones would be closed. Anyhow, training this beast would be expensive and some concentrated initiative (or a big corporation) would be required.
8. It would be trained on everything we got. We would be much more mature than we are today so instead of legal battles. I guess that we would have some sort of a licensing solution that allows you to train models on copyrighted material.
6. At the end (still far): We would throw away tokenizers and use bytes or simple characters. The tokenziers we got today are broken and the only reason we use them is that our models are not good enough yet to "build the words" themselves.
4. No multiple different model sizes, a single model trained with stochastic depth so during prediction you could choose how many layers you actually use. 5. Also: It might be trained with arbitrary layer repeats so during generation you could chose how much compute to "invest"
3. Infinite context. It will be solved soon and the models would extrapolate indefinitely.
The "end game" of LLMs is going to be as follows: 1. All modalities in -> All modalities out. (Video, Image, Text, Sound..) 2. They would all also be optional: The model will work fine if you don't give it all the data types.
@kimmonismus Not sure if there is any confirmation from OpenAI there? But they could be linked. The second image is from lmsys.
@legit_rumors oh it’s okay, i’m still excited; jimmy might be wrong lol
@legit_rumors i don’t know, search is just so… been there, done that. incremental improvements on a concept from 20 years ago. it’s like getting socks for christmas
@legit_rumors if it’s a search engine like jimmy says i will be sorely disappointed