cpdomina

what I implied is that in 2024 a lot was written about RAG, LLMs were trained on it, and that explains your gpt-4o-mini reference. the argument is that the article is ai slop, and that point is totally unrelated to name dropping fortune 500s references

the biggest giveway is actually not the writing style, but the content

"using GPT-4o-mini for query rewriting" -> model from 2024, when RAG was trendy, and all the langchain, llama-index, etc, docs mentioned this specific model

cool! you might be interested in graphchi (2012), also designed to do large scale graph operations on a single machine

https://github.com/GraphChi/graphchi-cpp#performance

there was a project trying to achieve some of those goals a few years ago using p2p: petals https://github.com/bigscience-workshop/petals

their bloom model was also a collaborative effort https://huggingface.co/docs/transformers/en/model_doc/bloom

AI agents are still a pretty big topic in crypto, a lot of projects doing what you described. did you try https://github.com/ccxt/ccxt

Semantic Web is now revived into its new marketing incarnation, called Knowledge Graphs. There's actually a lot of work on building KGs with LLMs, specially in the RAG space e.g., Microsoft's GraphRag and llama_index's KnowledgeGraphIndex

For MIDI:

https://github.com/Music-and-Culture-Technology-Lab/omnizart and https://basicpitch.spotify.com/

They work better if you apply some source separation before (e.g, https://github.com/sigsep/open-unmix-pytorch, https://github.com/facebookresearch/demucs, or https://mvsep.com)

Still, I think the best results are from proprietary models (specifically https://www.ableton.com/en/manual/converting-audio-to-midi/ and https://www.celemony.com/en/melodyne/what-is-melodyne)

To train small gpt-like models, there's also aitextgen: https://github.com/minimaxir/aitextgen

You can call any of the huggingface models [1] using their API [2]. A few examples:

- https://huggingface.co/EleutherAI/gpt-j-6B

- https://huggingface.co/t5-base

- https://huggingface.co/facebook/opt-66b

- https://huggingface.co/bigscience/bloomz-3b

There are also other companies offering large models as a service:

- https://www.forefront.ai

- https://nlpcloud.com

- https://www.goose.ai

- https://cohere.ai/generate

[1] https://huggingface.co/models

[2] https://huggingface.co/inference-api

Indeed. He managed to disrupt another industry, this time the fabric of space and time! What a time to be alive.

Ableton Live has a Audio to Midi [1] feature that works pretty well to extract notes from audio. Melodyne [2] is a very powerful tool to mess around with notes in general.

There's also some open source projects out there, such as aubio [3] and Omnizart [4].

[1] https://www.ableton.com/en/manual/converting-audio-to-midi/

[2] https://www.celemony.com/en/melodyne/what-is-melodyne

[3] https://aubio.readthedocs.io/en/latest/cli.html#aubionotes

[4] https://music-and-culture-technology-lab.github.io/omnizart-...

Check out https://github.com/fedden/RenderMan and https://github.com/DBraun/DawDreamer

The screws have a very easy direct access, I can see them being repurposed for other means with a bit of effort.

The keyboard is a little small, and does take a bit to get used. Not recommended for big fingers.

Battery life is pretty good; I charge it at night, and usually is half-battery. My usage is pretty decent, but mostly on wifi.

Just noticed they have a new version with android 10: https://cubot.net/Smartphones/KingKong-mini-2

I have been using a Cubot Mini (4") for sometime now (1+ year), and am pretty happy with the experience overall. Feels so good to have a phone that fits in any pocket.

https://cubot.net/Smartphones/king-kong-mini/8

The field of Open Information Extraction has been trying to do that in a generic way for a long time, but the results are still far from good. A few references: OpenIE [1] Graphene [2] MinIE [3].

If you already have a Knowledge Graph (KG) and want to populate its instances from documents, that's called KG Population, and Knowledge-net [4] is a good reference.

Relation Extraction is another interesting approach if you know which kind of relations you're interested in, OpenNRE [5] a good example.

[1] https://github.com/dair-iitd/OpenIE-standalone

[2] https://github.com/Lambda-3/Graphene

[3] https://github.com/uma-pi1/minie

[4] https://github.com/diffbot/knowledge-net

[5] https://github.com/thunlp/OpenNRE

NMF works great for unsupervised audio source separation, e.g. [1]. See [2][3] for a good overview of the field.

[1] http://librosa.github.io/librosa/generated/librosa.decompose...

[2] https://hal.inria.fr/hal-01631185/document

[3] https://sci-hub.tw/10.1002/9781119279860.ch8

Stardog | Machine Learning Software Engineer, Senior Distributed Database Engineer, Senior Front End Engineer | Arlington, VA, Boston, MA, or REMOTE | http://stardog.com

Stardog is the world's leading Knowledge Graph platform for the Enterprise. It lets you query, search, and analyze enterprise data, wherever it is, using scalable, cutting-edge Knowledge Graph technology.

We're hiring:

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No, we have members working remotely from all over the US and Europe. Other geographies are welcome :)

Stardog | Machine Learning Software Engineer, Senior Distributed Database Engineer, Senior Front End Engineer | Arlington, VA, Boston, MA, or REMOTE | http://stardog.com

Stardog is the world's leading Knowledge Graph platform for the Enterprise. It lets you query, search, and analyze enterprise data, wherever it is, using scalable, cutting-edge Knowledge Graph technology.

We're hiring:

Machine Learning Software Engineer - NLP, Deep Learning, Probabilistic Graphical Models - https://hire.withgoogle.com/public/jobs/stardogcom/view/P_AA...

Senior Distributed Database Engineer - Graph Algorithms, Distributed Indexes, Query Evaluation - https://hire.withgoogle.com/public/jobs/stardogcom/view/P_AA...

Senior Front End Engineer - Javascript, Node, React - https://hire.withgoogle.com/public/jobs/stardogcom/view/P_AA...

SEEKING WORK – Remote (based in Porto, Portugal)

I'm a software engineer specialized in data analysis: machine learning, natural language processing, recommendation/search engines, computational advertising, and data science. Spent most of my career in the US, working with startups and R&D labs, just recently moved back to my beautiful home country, Portugal. Check my website for resume: http://www.cpdomina.net/

Looking for small data analysis gigs or bigger data infrastructure work: cpdomina@gmail.com