[dead]
Ask HN: Is anyone doing anything cool with tiny language models?
171–180 of 356 posts
Re: Ask HN: Is anyone doing anything cool with tiny language models?
#172I used local LLMs via Ollama for generating H1's / marketing copy. 1. Create several different personas 2. Generate a ton of variation using a high temperature 3. Compare the variagtions head-to-head using the LLM to get a win / loss ratio The best ones can be quite good. 0 - https://www.definite.app/blog/overkillm
What is an H1?
Re: Ask HN: Is anyone doing anything cool with tiny language models?
#173I built an Excel Add-In that allows my girlfriend to quickly filter 7000 paper titles and abstracts for a review paper that she is writing [1]. It uses Gemma 2 2b which is a wonderful little model that can run on her laptop CPU. It works surprisingly well for this kind of binary classification task. The nice thing is that she can copy/paste the titles and abstracts in to two columns and write e.g. "=PROMPT(A1:B1, "If…
[dead]
Re: Ask HN: Is anyone doing anything cool with tiny language models?
#174I have a small fish script I use to prompt a model to generate three commit messages based off of my current git diff. I'm still playing around with which model comes up with the best messages, but usually I only use it to give me some ideas when my brain isn't working. All the models accomplish that task pretty well. Here's the script: https://github.com/nozzlegear/dotfiles/blob/master/fish-func... And for this chan…
Interesting idea. But those say what’s in the commit. The commit diff already tells you that. The best commit messages IMO tell you why you did it and what value was delivered. I think it’s gonna be hard for an LLM to do that since that context lives outside the code. But maybe it would, if you hook it to e.g. a ticketing system and include relevant tickets so it can grab context.
For instance, in your first example, why was that change needed? It was a fix, but for what issue?
In the second message: why was that a desirable change?
Re: Ask HN: Is anyone doing anything cool with tiny language models?
#175Earlier quoted context omitted.
I’d love to see that. Could you simulate iMessage?
If you mean hook this into iMessage, I don't know. I'm willing to bet it's way harder though because Apple
If you are willing to use Apple Shortcuts on iOS it’s pretty easy to add something that will be trigged when a message is received and can call out to a service or even use SSH to do something with the contents, including replying
Re: Ask HN: Is anyone doing anything cool with tiny language models?
#176https://gophersignal.com – I built GopherSignal!
It's a lightweight tool that summarizes Hacker News articles. For example, here’s what it outputs for this very post, "Ask HN: Is anyone doing anything cool with tiny language models?":
"A user inquires about the use of tiny language models for interesting applications, such as spam filtering and cookie notice detection. A developer shares their experience with using Ollama to respond to SMS spam with unique personas, like a millennial gymbro or a 19th-century British gentleman. Another user highlights the effectiveness of 3B and 7B language models for cookie notice detection, with decent performance achieved through prompt engineering."
I originally used LLaMA 3:Instruct for the backend, which performs much better, but recently started experimenting with the smaller LLaMA 3.2:1B model.
It’s been cool seeing other people’s ideas too. Curious—does anyone have suggestions for small models that are good for summaries?
Feel free to check it out or make changes: https://github.com/k-zehnder/gophersignal
Re: Ask HN: Is anyone doing anything cool with tiny language models?
#177I have ollama responding to SMS spam texts. I told it to feign interest in whatever the spammer is selling/buying. Each number gets its own persona, like a millennial gymbro or 19th century British gentleman. http://files.widloski.com/image10%20(1).png http://files.widloski.com/image11.png
You realize this is going to cause carriers to allow the number to send more spam, because it looks like engagement. The best thing to do is to report the offending message to 7726 (SPAM) so the carrier can take action. You can also file complaints at the FTC and FCC websites, but that takes a bit more effort.
Yes, the very last thing to do is respond to spam (calls, email, text...) and inform that you are eligible to more solicitation.
Re: Ask HN: Is anyone doing anything cool with tiny language models?
#178I built an Excel Add-In that allows my girlfriend to quickly filter 7000 paper titles and abstracts for a review paper that she is writing [1]. It uses Gemma 2 2b which is a wonderful little model that can run on her laptop CPU. It works surprisingly well for this kind of binary classification task. The nice thing is that she can copy/paste the titles and abstracts in to two columns and write e.g. "=PROMPT(A1:B1, "If…
How accurate are the classifications?
Re: Ask HN: Is anyone doing anything cool with tiny language models?
#179I am doing nothing, but I was wondering if it would make sense to combine a small LLM and SQLITE to parse date time human expressions. For example, given a human input like "last day of this month", the LLM will generate the following query `SELECT date('now','start of month','+1 month','-1 day');`
It is probably super overengineering, considering that pretty good libraries are already doing that on different languages, but it would be funny. I did some tests with chatGPT, and it worked sometimes. It would probably work with some fine-tuning, but I don't have the experience or the time right now.
Re: Ask HN: Is anyone doing anything cool with tiny language models?
#180I am doing nothing, but I was wondering if it would make sense to combine a small LLM and SQLITE to parse date time human expressions. For example, given a human input like "last day of this month", the LLM will generate the following query `SELECT date('now','start of month','+1 month','-1 day');` It is probably super overengineering, considering that pretty good libraries are already doing that on different languag…
LLMs tend to REALLY get this wrong. Ask it to generate a query to sum up likes on items uploaded in the last week, defined as the last monday-sunday week (not the last 7 days), and watch it get it subtly wrong almost every time.