Small models don't "know" as much so they hallucinate more. They are better suited for generations that are based in a ground truth, like in a RAG setup. A better comparison might be Flash 2.0 vs 4o-mini. Even then, the…
It's for visualizing datasets where fine-grained cluster details and broader relationships matter. There are example renderings in the paper. From the README: > PaCMAP (Pairwise Controlled Manifold Approximation) is a…
> Create Hello World application: > sudo mgrg -i -u $(whoami) helloworld Why does it need sudo to compile?
If you look in the `config.json`[1] it shows `Zamba2ForCausalLM`. You can use a version of the transformers library to do inference that supports that. The model card states that you have to use their fork of…
This article is from 2017
This is true. Devs are looking for frameworks. See CrewAI who refuses to allow users to disable some pretty aggressive telemetry, yet they have a huge number of GH stars. The abstractions are handy if you have no idea…
It's always disappointing when people publish things to GitHub without the intention of collaborating or sharing.
I couldn't find any training code in the MXL examples.
> Relationship with CVNets > CoreNet evolved from CVNets, to encompass a broader range of applications beyond computer vision. Its expansion facilitated the training of foundational models, including LLMs. We can expect…
It's a thing in Chrome Dev Tools now: https://developer.chrome.com/docs/devtools/coverage/
There's gotta be somewhere in the middle. Vercel's movements feel a lot like the "Embrace, extend, and extinguish" playbook. Maybe there is a class of developer out there that doesn't get spooked by that but it…
Llama.cpp is an inference engine. The author of llama.cpp designed gguf. Funcionary is a model that does function calling. You can download functionary weights in the gguf format and then run it using llama.cpp on…
Have you tried generating two sets of qapairs, one with bad answers, and using DPO?
The authors don't seem to care about the principle of least privilege: https://github.com/ollama/ollama/issues/851#issuecomment-177... It makes me wonder what other security issues they might now care about.
This paper is well written. The results are pretty wild. They observed some amazing reduction in training resources required to achieve similar benchmarks to models trained on conventional data: > We observe that even…
Small models don't "know" as much so they hallucinate more. They are better suited for generations that are based in a ground truth, like in a RAG setup. A better comparison might be Flash 2.0 vs 4o-mini. Even then, the…
It's for visualizing datasets where fine-grained cluster details and broader relationships matter. There are example renderings in the paper. From the README: > PaCMAP (Pairwise Controlled Manifold Approximation) is a…
> Create Hello World application: > sudo mgrg -i -u $(whoami) helloworld Why does it need sudo to compile?
If you look in the `config.json`[1] it shows `Zamba2ForCausalLM`. You can use a version of the transformers library to do inference that supports that. The model card states that you have to use their fork of…
This article is from 2017
This is true. Devs are looking for frameworks. See CrewAI who refuses to allow users to disable some pretty aggressive telemetry, yet they have a huge number of GH stars. The abstractions are handy if you have no idea…
It's always disappointing when people publish things to GitHub without the intention of collaborating or sharing.
I couldn't find any training code in the MXL examples.
> Relationship with CVNets > CoreNet evolved from CVNets, to encompass a broader range of applications beyond computer vision. Its expansion facilitated the training of foundational models, including LLMs. We can expect…
It's a thing in Chrome Dev Tools now: https://developer.chrome.com/docs/devtools/coverage/
There's gotta be somewhere in the middle. Vercel's movements feel a lot like the "Embrace, extend, and extinguish" playbook. Maybe there is a class of developer out there that doesn't get spooked by that but it…
Llama.cpp is an inference engine. The author of llama.cpp designed gguf. Funcionary is a model that does function calling. You can download functionary weights in the gguf format and then run it using llama.cpp on…
Have you tried generating two sets of qapairs, one with bad answers, and using DPO?
The authors don't seem to care about the principle of least privilege: https://github.com/ollama/ollama/issues/851#issuecomment-177... It makes me wonder what other security issues they might now care about.
This paper is well written. The results are pretty wild. They observed some amazing reduction in training resources required to achieve similar benchmarks to models trained on conventional data: > We observe that even…