Here's yesterday's podium, congratulations 🙌🏻 🥇 That's Rank! - 43 points 🥈 Veggie Stats (@veggiestats) - 43 points 🥉 SirPlotsAlot (@faizan10114) - 43 points

We have released all of our information about free and local alternatives to github copilot. Do check it out and add to it please https://t.co/iO3uyOpKJt

Deploying next to our own infra is still a pain, had to write a bunch of tooling to figure stuff out. More updates on that soon.

Update we have officially, moved away from a custom python backed backend to node and pulumi mix backend. The reason, mostly types, but also async out of the box, better real-time communications, snappier responses.

The following quote applies to all dev-tool companies. "We who cut mere stones must always be envisioning cathedrals. — Medieval Quarry worker's creed” ― Andrew Hunt, Pragmatic Programmer, The: From Journeyman to Master

Academia teaches you intellectual humility, a kind of bending over backwards identifying all of the ways in which the experiment is not valid.

In the world of selling, the goal is put all of the limitations at the back and focus on the best case scenario, the scenario in which things do work. In the best case scenario, the experiment is not reproducible at all, and you have developed a new category and/or a moat.

The amount of domain expertise in /r/localllama is unparalleled. I have learned so much in the past few weeks, than any other platform.

Deploying Llama3 70B on AWS - GPU requirement, Cost and Step-by-Step Guide ⬇⬇⬇ https://t.co/xqQ79TJC2m

A step-by-step guide on how to deploy Llama3 on AWS, part 1 ⚙️⬇️ https://t.co/0zsP7jiDX7

Out there is a tinkerer taking advantage of the holiday break. Not very happy with their current situation in life however deeply motivated to change it and curious enough to follow a dopey idea the median entrepreneur wouldn't even consider because nobody is tweeting about it.

You can now transcribe youtube videos with slashml. https://t.co/3IFEHmztBI

Code in your favourite deep-learning tool, scikit-learn, pytorch, hugging-face etc. No need to adopt anything, we take care of the dependencies for you. https://t.co/1EKEiNQn03

Introducing model deployment, you can now deploy your model with slashml, we will host it for your and give you and endpoint for inference. https://t.co/33Je9zBHLA

If you have a YC interview coming up, this might help https://t.co/V84S1qdI9m

PG asks: YC interview questions speechified. https://t.co/V84S1qdI9m via @producthunt

introducing 6 new models for speech-to-text. https://t.co/fTyrexROMG switching between multiple service providers is as easy as ciw, yes only vi folks will understand this

A demo of whats possible with slashml

Sign up and grab your token here https://t.co/L1WluAULmu We also have SDK https://t.co/8ltqnnwEsW #MachineLearning #AI #softwaredevelopment #DevOps

If you code, I invite you to use slashML, a unified API for all your machine learning needs. We currently have speech-to-text, text-to-speech and summarization models from three different top service providers. Mix and match any of these models in your application. At no charge