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@proxis_ai auto-drafts replies to support tickets and sales pings by:
- Connecting to your Slack/CRM for context
- Matching your writing style
- Auto-sending high-confidence replies
- Drafting tricky ones for review
Some call it QA. We call it ROASTING.
Sharpen your keystrokes and brighten someone's linkedin doom scroll today.
We’re offering $100 to the funniest + most useful critique of our new website: https://t.co/xcGBYf9GAA. Winner announced on Friday June 6.
$100 Website Roast Challenge 🚨
We just launched our new website — https://t.co/UywGaaLuWZ — and we want your honest, hilarious, and brutally useful feedback.
💸 Prize: $100 to the funniest and most helpful roast.
What we’re looking for:
Wherever we go, there will be piñatas 🪅
For those in the Bay come join us tonight at the @proxis_ai ugly sweater holiday party🎅
Hosting with our friends from @jpmorgan, @googlecloud , and @wilsonsonsini
DM me for details.
NEW RELEASE
What does Llama 3.3 mean for you?
A few hours ago Meta released the latest Llama 3.3 model. Here are a few things you need to know:
- It is now available in the 70b size. This makes it feasible to run locally
- It's performance is comparable to 3.1 405b (see benchmark categories below) with more cost effective inference (~1/10th of the cost)
- It outperforms 3.1 405b on math and reasoning
Open source is here. If you're looking to fine tune and distill these models, reach out:
https://t.co/7nyW7v2pCC
The bet is on open source.
Last month I spoke at the Wharton Tech Conference about @proxis_ai and the future of open source models.
There is a transformational shift of enterprises transitioning toward open source models. There are a number of very good reasons for this:
- Customization and control (think fine tuning and distillation)
- OWNING your models!
- Privacy and Security
- No vendor lock in
...
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Proxis (YC S24) is helping drive that transformation for enterprises and developers. Proxis is the the Vercel of fine tuning & distillation - the easiest way to spin up a custom, production-ready LLM in under 10 minutes. Hosting, privacy and security, and ownership are all sorted with the proxis platform.
If you are an enterprise AI leader or developer feel free to schedule a call: https://t.co/PYYeFD33tt
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Thank you to @Wharton , @whartontechclub for coming out to SF and for bringing together such a great group of builders.
@jacksonstokes_
@leonz4264
2 days to go!
Looking forward to seeing you all there.
We'll be launching our model optimization tool. We'll walk through the tool and discuss fine tuning and distillation techniques.
Video call link: https://t.co/PlFkswvNuM
Ok so we really don’t want that, how do we correct this? Models can be aligned to human values using reinforcement learning, supervised fine-tuning and human feedback. I’ll dive into these in greater detail in the next post.
👁️What is AI Alignment? 👁️
It has been a hot topic recently, but it’s not immediately obvious what it means.
Simply put, AI alignment means models act in ways humans intend them to. It ensures AI models are aligned with human values, intentions, and ethics.
More in 🧵
What does it look like when models are misaligned with our values? We might see model outcomes that:
- Unintentionally leak or misuse sensitive information
- Spread misinformation
- Act on unsafe autonomous decisions
- Recommend illicit activities
- you get the point...
Proxis presenting the new VSCode kernel optimizer at the YC Launch.
Check out the launch as well as other model optimization tools here:
https://t.co/xcGBYf9GAA
Join the conversation on discord and get off the waitlist sooner:
https://t.co/iwHA4Le1xo
YC S24's @proxis_ai is the first dedicated platform for LLM distillation and serving, unlocking production-ready models at 1/10th the cost.
Congrats on the launch, @liam_a_collins and @jackson_stokes!
https://t.co/NITWdN2wpa