Earlier quoted context omitted.
Is this a segway for IBM to release Terraform specific LLMs so I never have to write that hot garbage ever again? Sign me up IBM!
just a heads up it's segue in the context you're using it
thank you internet stranger!
IBM Granite: A Family of Open Foundation Models for Code Intelligence
71–78 of 78 posts
Re: IBM Granite: A Family of Open Foundation Models for Code Intelligence
#72Earlier quoted context omitted.
Can I sue Lamma and Mistral if things go wrong?
Llama is owned by Meta, so you’d be suing meta But I’m pretty sure both models have “we’re not responsible” clauses.
That was my point. Whereas if you are using a service from IBM as an enterprise, you would be able to sue them
Re: IBM Granite: A Family of Open Foundation Models for Code Intelligence
#73Earlier quoted context omitted.
> IBM and other big players are vigilant about these things, and this is what companies pay for. And more importantly, IBM will guarantee it in the case that they're wrong. _That's_ what companies pay for.
Yes. I tucked it under "support contract" part mentally, actually.
That's fair, but until I actually read one of those contracts myself I didn't really understand what people meant by "support"
Re: IBM Granite: A Family of Open Foundation Models for Code Intelligence
#74Earlier quoted context omitted.
Yes. I tucked it under "support contract" part mentally, actually.
That's fair, but until I actually read one of those contracts myself I didn't really understand what people meant by "support"
It depends per job and per requirements, and has a direct affect on the cost of the contract in general.
Re: IBM Granite: A Family of Open Foundation Models for Code Intelligence
#75I'm a complete newb when it comes to AI, and I am getting pretty ashamed of it too. How do I take a model like this and use it in my day to day? Can I somehow use in, say, VSCode? How do I point it at my code base, and use it to help me write new code?
If you like Emacs (I use both Emacs and VSCode, for slightly different coding use cases), then the Emacs elamma [1]package is very nice. It is set up out of the box to use Ollama and to use M-x commands for code completion, summarization, and dozens of other useful functions. I love it, your mileage may vary.
Re: IBM Granite: A Family of Open Foundation Models for Code Intelligence
#76Earlier quoted context omitted.
IBM is a sales and services org. Their customers aren’t going to build their own RAG and agent frameworks, vector DBs, data ingest pipelines, finetunes, high scale inference serving solutions, etc, etc. There’s an incredible amount of stuff to buy.
Right, but they can just use Llama/Mistral for free, instead of their inferior models, which I'm sure take quite a bit of resources to train in the first place.
Yes but using someone else's models doesn't make them an "AI company".
Re: IBM Granite: A Family of Open Foundation Models for Code Intelligence
#77I wonder why companies like IBM are jumping on the LLM bandwagon and training/releasing models that have no chance of competing with Llama/Mistral? To me it just looks like a complete waste of $$ because nobody will use them in any serious scenarios
Same reason they jumped on the clown bandwagon, it's the kind of offering it's expected to have when you're a company like that. Huge size, leading research departments, big enterprise customers. They've been doing "AI" for ages. Notably Watson over the last couple of decades or so.
What is "the clown bandwagon"?
Re: IBM Granite: A Family of Open Foundation Models for Code Intelligence
#78Earlier quoted context omitted.
IBM do a mixture of shovelware and extremely hardcore tech so they could honestly go either way with this.
> mixture of shovelware and extremely hardcore tech Citation needed All I've seen from them in my professional experience is actually legacy mainframe maintenance.. Not shovelware, but very far from hardcore tech.
https://research.ibm.com/semiconductors#publications
https://research.ibm.com/blog/albany-semiconductor-research-... etc
IBM doesn't have fabs, but they still do R&D into semiconductors that very much target future commercial processes. They do a fair bit on quantum computing too, to name just a couple of things.