bishes

Love this package. has a bunch of functions for most face recognition, detection and feature extraction purposes. love the readme.md docs for familiarizing with the basic features. PLUS it offers different models(backends) for the tasks which lets you try out a bunch of approach for the same task without writing a custom function

could you share a few resources on it. looking forward to your writeup

There are already solutions to this kind of problem. Using embeddings to store semantic meaning -> query the vector database with a question -> use extractive q/a models to get relevant context -> using a Reader model to generate answers based on the context from the document.

just checkout Haystack tutorials. I started looking into it after getting introduced to the concept by articles mentioning OpenAI embeddings and GPT 3 api, but it can be done using open source models.

Thanks for such a detailed response.

I guess Canada is a safer bet in terms of career. Australia's weather is a plus for me, and I know a few people who moved there.

Anyways, looks like I can't go wrong either way.

fastai is a no brainer. You can go into the nitty gritty later, but doing this course will let you see the power of AI and deep learning from the start.

I also lost my father in 2021, and my life hasn't been the same. I have to deal with a ton of more responsibilities while taking care of my mother and brother. I was also very close to him, and we went on trips whenever we were free and shared similar interests in photography and cycling. I've been doing my best to live upto his expectations, and hope you'll be able to do so too. Best of luck friend.

I agree with this. It's gotten way easier to use pre-trained models to deploy software with custom prompt engineering.

As an aspiring web developer, I agree with his rationale. I believe I would be better able to connect and learn from other programmers IRL than online.

These are my favorite Blender resources:

- Blender Guru : Start with the Donut Tutorial

- Arrimus3D : For hard-surface modeling and topology (software agnostic)

- CGBoost : high information density

- Ian Hubert and Blender Secrets - Short and direct tutorials

- Erindale : Procedural Shader and Geometry Nodes

- CGCookie : another general Blender channel

- Derek Elliot : Product animation and motion graphics

HN, and posts shared in twitter by a handful of people I trust.

+1 for "Learning How to Learn". Helpful for improving study habits.