Sahil Chaudhary @csahil28
Building @glaiveAI Global Joined March 2013-
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HUGE problem for startups selling AI products to enterprises - buyers have no idea what is going on you think evals are a problem in research, but way more so in the real world: noisy, snake oil marketing, top-down pressure, lack of talent, focus on credibility as safe signal
if you need a synthetic dataset or custom models for your usecases hmu or dm @GlaiveAI and we will onboard you (now that i work at a startup, it's my moral responsibility to shill whenever i can, thanks ly)
today, im launching the largest ever minecraft q&a dataset with 700k question answer pairs -- they cover every topic, item, block, mechanic and craft in minecraft. the dataset was generated by extracting over 18,000 minecraft wiki pages and over 11 hours of llama3 on 8xh100s.
I think Meta and Llama-3 is the final nail in the coffin to several misconceptions I've been fighting against for the last year. Llama-3 Chat was trained on over 10M Instruction/Chat samples, and is one of the only finetunes that shows significant improvements to MMLU.…
you need your own weights if you can’t make product improvements without them the “gpt wrapper” complainers are wrong, but so are the investors who fund co’s that don’t have the weights but should
Ten months ago, we launched the Vesuvius Challenge to solve the ancient problem of the Herculaneum Papyri, a library of scrolls that were flash-fried by the eruption of Mount Vesuvius in 79 AD. Today we are overjoyed to announce that our crazy project has succeeded. After 2000…
Dataset Sources Airoboros 2.2 By Jon Durbin - @jon_durbin: huggingface.co/datasets/jondu… CamelAI Domain Expert Datasets (Phsyics, Math, Chemistry & Biology) By CamelAI: huggingface.co/camel-ai ChatBot Arena (GPT-4 Only) By LMSys - @lmsysorg @infwinston et al: huggingface.co/datasets/lmsys……
Introducing our new flagship LLM, Nous-Hermes 2 on Mixtral 8x7B. Our first model that was trained with RLHF, and the first model to beat Mixtral Instruct in the bulk of popular benchmarks! We are releasing the SFT only and SFT+DPO model, as well as a qlora adapter for the DPO…
Introducing WhatOnEarth, a search engine that lets you chat with the entire internet. As a free & open alternative to ChatGPT Plus, the website will only get better and cheaper in the months to come. What on earth. Give it a spin, it's free.
I'm announcing another massive update to whatonearth - our Mixtral-8x7B is now connected to the internet. You can query links, search code, get news and even ask the search engine to roast your profile.
Introducing GPURich - We scan the world's GPU providers using AI agents to find cheap GPUs powered by pros like @MultiOn_AI , @shadeformai ! Create a bid. You set the price. e.g., “Find 25 A100 GPUs < $1.2/hr, I'll pay $5 for each” gpurich.ai - Save $ on GPUs in…
Today I am releasing Open Hermes 2.5! This model used the Hermes 2 dataset, with an added ~100k examples of Code Instructions, created by @GlaiveAI! This model was originally meant to be OpenHermes-2-Coder, but I discovered during the process that it also improved almost every…
Still going #6 on #ProductHunt and the response has been heartwarming! 🙌 If you missed it, Expresso is reshaping workplace wellbeing with AI. Still on the hunt for feedback, thoughts, or just curious eyes. Dive in here: producthunt.com/posts/expresso… #startup #MentalHealthAwareness
And we’re live on @ProductHunt ! Check it out here: producthunt.com/posts/expresso… #producthunt
Heyyy Michele from @Replit announcing a new commercially available open source model for code on stage #AIRSummit , replit-code-v1.5-3b Supports 30 languages, a mix from data from stack exchange. Cc @amasad 👀
Morph Labs is proud to announce Rift Coder 7B: the first on-device LLM for code editing. Runs at >20 tok/s w/llama.cpp on Apple M2. Finetuned from @GlaiveAI's glaive-coder-7b. Built for Rift, our AI-native language server and VSCode extension: github.com/morph-labs/rift
Erik Dunteman 🍌 @erikdunteman
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First @nvidia DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen "to advance AI, computing, and humanity":
@csahil28 @altryne @HamelHusain @winglian @jon_durbin @GlaiveAI @Teknium1 True! Just check it! Multi lingual would be nice :) thanks for your work
Profluent has successfully edited human DNA with an AI designed gene editor. Remarkable for many reasons, particularly the future it points to: one where AI designs specifically what’s needed to cure diseases. Coverage from @nytimes below in thread.
today, im launching the largest ever minecraft q&a dataset with 700k question answer pairs -- they cover every topic, item, block, mechanic and craft in minecraft. the dataset was generated by extracting over 18,000 minecraft wiki pages and over 11 hours of llama3 on 8xh100s.
if you need a synthetic dataset or custom models for your usecases hmu or dm @GlaiveAI and we will onboard you (now that i work at a startup, it's my moral responsibility to shill whenever i can, thanks ly)
@Teknium1 Yeah the "finetuning can't teach a model new knowledge" meme never made any sense. There's no conceptual difference between finetuning and pretraining, even if they're often separated for convenience. @jeremyphoward makes this point well.
Zuck 3.0 🤝 LLaMa 3.0 based af
Damn! Congrats @AIatMeta! Ahmad, Thomas, Yann, Soumith!
This is how foundation model companies build a data flywheel that makes it hard to keep up. You'd better believe that OpenAI is using GPT-5 to filter and synthesize training data for GPT-6 already.
We're entering a new world where GPT-4-level models are open-source and freely accessible. Absolutely massive.
The craziest LLaMA 3 reveal: The 400B+ version of the model is **on par with Claude 3 Opus**, and it's still training. Soon, we'll have a better-than-Opus, fully open-source model. The implications are huge.
“Better to be a hacker learning to be a ceo than a ceo learning to be a hacker”
Who’s building the large hadron collider for synthetic data generation? 👀
Let's take a moment to shout out our sponsors! @modal_labs - The best infra to scale your GPU applications @GlaiveAI - Synthetic data generation and training platform for LLMs @BananaDev_ - Strongly typed LLM requests
Your domain-specific fine tuned LLM doesn't need to beat all the benchmarks in the world. It just needs to perform well on your domain. So, don't worry, keep fine tuning using AutoTrain 💥