Viewing profile — bobosha

Their lives and symptoms offer a rare window into how the brain binds experience into a single mind.

Hoover Senior Fellow Paola Sapienza and Institute for Progress’ Distinguished Immigration Counsel Amy Nice examine recently obtained data and explain why the common claim—that immi…

wouldn't LSH (Locality Sensitive Hashing) make more sense here?

We use a vector db (Qdrant) to store embeddings of images and text and built a search UI atop it.

I’m working on a new vision-language model architecture called Onida. Our aim is to match—or surpass—the performance of leading VLMs like LLavA and CogVLM, while operating at a fra…

I largely share Yann LeCun’s perspective that scaling LLM-based approaches will eventually hit a plateau, and that a paradigm shift will be necessary. While there is ongoing debate…

SpaCy is awesome - we have used it in a number of enterprise-grade applications and found it to hold up well.

Nice work! will give it a try...

IMO AI is going eat most jobs - including the experienced ones - it's just a matter of time. There is no sugar coating this unfortunately.

But symbolic != hierarchical

congrats ISRO

So did everyone and their grandma also have blackberries.

exceptions maketh the rule.

5 to 10 is reportedly the magic number

>Video on the internet was not a popular thing until we had broadband internet. I think it's an example of a post hoc fallacy. The popularity of video was in large part responsible…

how is this different from generating a feature hash of the embeddings i.e reduce from many to one embedding reduction? Could a UMAP or such technique be helpful in reducing to a s…

yet they do data.

This is where the memory bit comes in, if you have a memory of past embeddings and associated label(s), it could be an ANN query to fetch the most similar embeddings and infer ther…

has anyone tried feeding the admittedly noisy OCR-ed text -at a document level - to an LLM for making sense? Presumably some of the less capable ones should be quite affordable and…

Not sure / still waiting to see

It’s complicated: some disruption, but also new opportunities