looks great...looking forward to trying it out
Launch Lamini: The LLM Engine for Rapidly Customizing Models as Good as ChatGPT
31–40 of 75 posts
Re: Launch Lamini: The LLM Engine for Rapidly Customizing Models as Good as ChatGPT
#32I've been playing a bit with stacking transformer adapters to add knowledge to models and so far it has met my needs. It doesn't have the same illusion of intelligence, but so far it's just as good as a multitasking intern, so I am still having fun with it. I wonder if this is basically doing the same thing.
Re: Launch Lamini: The LLM Engine for Rapidly Customizing Models as Good as ChatGPT
#33Earlier quoted context omitted.
Stagi isn't a word (unless you count Lojban). Gagi isn't a word unless you could Filipino slang.
Could you not have at least Googled the word before speaking against it? https://www.google.com/search?q=stagi There are a lot of genuine hits for stagi.
those are either family or brand names. I don’t see it used as a common word in any of the results.
Re: Launch Lamini: The LLM Engine for Rapidly Customizing Models as Good as ChatGPT
#34Earlier quoted context omitted.
You can't ask ChatGPT to count something and expect that it can answer correctly, because it does not have counting logic. It is a language model, not a math model. People use this to "prove" hallucinations, but when you ask it something that is within it's programmed abilities, you get something at least close to what you want. Having said that, here are the words ChatGPT gave me for the same prompt: Magi Nagi Sagi…
It's true that ChatGPT is not designed for counting and struggles with it in general. But my point was that ChatGPT, like any tokenized LLM, doesn't even have the concept of letters. The prompt "how many e's in this sentence" is rendered as the tokens [4919, 867, 304, 338, 287, 428, 6827]. There just isn't a pathway for it to consider the letters that make up those tokens. I'm a little surprised it did that well on y…
This is an excellent question. I wonder if it's something like [1] on letter composition rather than meaning.
Re: Launch Lamini: The LLM Engine for Rapidly Customizing Models as Good as ChatGPT
#35Why wouldn’t we use something like DeepSpeed? It’s a one-click on Azure. What’s the value add?
Re: Launch Lamini: The LLM Engine for Rapidly Customizing Models as Good as ChatGPT
#36I hope this turns out be as good as chatgpt and not "we have chatgpt at home"
Try SuperCOT 30B.
Re: Launch Lamini: The LLM Engine for Rapidly Customizing Models as Good as ChatGPT
#37Re: Launch Lamini: The LLM Engine for Rapidly Customizing Models as Good as ChatGPT
#38This headline is totally editorializing. Stick with the source one. “Introducing Lamini, the LLM Engine for Rapidly Customizing Models” So much click bait in the LLM space.
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Re: Launch Lamini: The LLM Engine for Rapidly Customizing Models as Good as ChatGPT
#39This headline is totally editorializing. Stick with the source one. “Introducing Lamini, the LLM Engine for Rapidly Customizing Models” So much click bait in the LLM space.
Is it still editorialising when OP is the CEO of the company?
Re: Launch Lamini: The LLM Engine for Rapidly Customizing Models as Good as ChatGPT
#40I've been playing a bit with stacking transformer adapters to add knowledge to models and so far it has met my needs. It doesn't have the same illusion of intelligence, but so far it's just as good as a multitasking intern, so I am still having fun with it. I wonder if this is basically doing the same thing.
Interesting. Do you know if this can be done with Sentence Transformers, too? Picking a good performing one from HF. Then training an adapter for the domain (unsupervised). Then adding another one using actual training triplets (base, similar, non-similar)?