Matt Shumer @mattshumer_
CEO @HyperWriteAI, @OthersideAI - I make AIs do the impossible. hyperwriteai.com The Otherside / NYC Joined November 2019-
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I'll give $200 to the first person who writes a fully working custom collator for @UnslothAI that allows for only training on completions.
1M context length Llama-3 8B Model. Enough said. Up on HF @ClementDelangue cc: @winglian @mattshumer_
1M context length Llama-3 8B Model. Enough said. Up on HF @ClementDelangue cc: @winglian @mattshumer_
@Gradient_AI_ @AIatMeta @huggingface @CrusoeEnergy @winglian and @mattshumer_ thanks for pushing the open source
1M context LLaMA 3. Next up, 10M.
gpt2-chatbot is good. really good. but if this is gpt-4.5, I’m disappointed.
I made myself an insanely useful AI summarizer bot. It lives in my text messages. I just send it a link to an article, video, etc., and it texts me back a fantastic summary, in seconds. This is going to be a massive time-saver.
1.3 Better utilize a smaller model with a more optimized prompt (h/t @mattshumer_ ) There may be certain tasks that can only be accomplished with bigger models. This is because prompting a bigger model is easier or also because you can write a more general purpose prompt, do…
Do you view my account as mostly fine-tuning, mostly prompting, or both?
Incredibly interesting work.
Starting on using PoSE to extend LLaMA 3's context window, with @winglian's help. This one was really fun to work on. Eval loss started insanely high, let's see how far down we can get it.
It’s difficult to get really good at prompt engineering by reading. Just write prompts, write more prompts, and then write even more prompts. Come up with challenges for yourself and try to make it work. You’ll get better faster than you can imagine.
It’s difficult to get really good at prompt engineering by reading. Just write prompts, write more prompts, and then write even more prompts. Come up with challenges for yourself and try to make it work. You’ll get better faster than you can imagine.
LLaMA 3, now with 160K+ context. Every day, we are pushing it higher.
LLaMA 3, now with 160K+ context. Every day, we are pushing it higher.
Is it just me, or does the @huggingface SFTTrainer's approach to training only on completions make no sense? What if your response template shows up multiple times in your example? Am I misunderstanding this?
Progress.
It's been a week since LLaMA 3 dropped. In that time, we've: - extended context from 8K -> 128K - trained multiple ridiculously performant fine-tunes - got inference working at 800+ tokens/second If Meta keeps releasing OSS models, closed providers won't be able to compete.
High alpha trick for fine-tuning: Make your system prompts in your dataset really great. It'll help the model learn to do your task much faster, with less data. If you have lots of data, you can ignore this, but at small dataset sizes, this changes everything.
This aged well: x.com/winglian/statu…
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If the leaked model really is gpt-next gotta say I'm disappointed. It's strong, but not *that* strong.
Ok it’s definitely using GPT-4 tokenizer so I’m betting it is 4.5 as well. Always fingerprint w anomalous tokens
@mattshumer_ This is the repo I am working on for it so far @mattshumer_ plan is to get it stable enough to make an @OpenInterpreter PR. I think a dynamic LLM that wasn't just a fallback based on outage or rate limit would be great. Will work on integrating `gpt-prompt-engineer` tonight.…
@mattshumer_ ok ok its cool to extend 8b but we need to extend 70b too
1M context length Llama-3 8B Model. Enough said. Up on HF @ClementDelangue cc: @winglian @mattshumer_
We've been in the kitchen cooking 🔥 Excited to release the first @AIatMeta LLama-3 8B with a context length of over 1M on @huggingface - coming off of the 160K context length model we released on Friday! A huge thank you to @CrusoeEnergy for sponsoring the compute and let us…
@Gradient_AI_ @AIatMeta @huggingface @CrusoeEnergy @winglian and @mattshumer_ thanks for pushing the open source
Going to see a lot of books coming out in the next year with a clone QR code...
You can now auto-generate a QR code that links directly to your clone. Imagine a reader buys a copy of your book, scans a QR code on the front sleeve, & talks to your clone as they immerse themselves in your journey Reading becomes personalized & interactive. Try it out now
Curious about a way where you can implement a switcher without having to adjust the prompt per LLM. Assume this is happening in real-time. Any thoughts @mattshumer_
Nah
gpt2-chatbot is insane at ascii art, miles ahead of any other model
@mattshumer_ This is great! I email myself links all the time and wish it would come with more context… could combine it with the app “Email me” and would be hugely useful, and I would be a DAU
@mattshumer_ Sure! Love your posts didn’t want you to get surprised by a enormous Claude bill
@mattshumer_ Might wanna allow list your number to save on your bill 💸
@mattshumer_ Interesting! What do you use to extract the text from the given URL (prior to send it to the LLM)? Thanks
@mattshumer_ I had this idea a while ago. None of the SMS platforms were useful. Some required a bulk SMS contract. Which platform did you use for SMS handling?
The three links our readers clicked most this week: #1. @LangChain's 20 minute YouTube video "Reliable, fully local RAG agents with LLaMA3" youtube.com/watch?v=-ROS6g… #2. Lucid dreaming company @PropheticAI's big strategy piece on AI and the future of consciousness…
@danielhanchen @mattshumer_ @huggingface If you can make sample packing work with training on completions only that would be 🔥
1.3 Better utilize a smaller model with a more optimized prompt (h/t @mattshumer_ ) There may be certain tasks that can only be accomplished with bigger models. This is because prompting a bigger model is easier or also because you can write a more general purpose prompt, do…
@mattshumer_ @corbtt @huggingface I haven't yet gotten to dataset prep stuff with Unsloth, but if it helps, I can create a custom collator to train on completions natively with Unsloth :)
@mattshumer_ Amazing work everyone! Can’t wait to see more efficiency work too
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