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

I used Haystack due to the readily available colab notebook[1] for their tutorials. I wanted to feed my own text corpus to it, and that was the fastest way available.

Langchain docs are helpful, and it would be even better if you published an end-to-end notebook using a popular dataset. Definitely looking forward to try langchain as I dive deeper into this.

1. https://haystack.deepset.ai/blog/how-to-build-a-semantic-sea...

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 uses its forums to manage discussions for specific chapters. It wouldn't be hard setting it up, but the instructor would have to declare it in the video or description to actually send students to the forum.

fastai forum : https://forums.fast.ai/

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.

Happy New Year from Nepal..

On the journey to becoming an open-source software hacker, UNIX culture and learning programming.

I tried this few months ago and the tutorials & challenges are somewhat difficult for beginners. This tutorial is challenging as you go through it and shouldn't be followed without proper guidance or research. The terms used in it is not so suitable for newbies as other tutorials available on-line. Though, the tutorial as a whole is a reliable source for learning python 3 and it's core concepts with some enticing problems. Definitely worth a look.

This is a bit indirect and unclear. Most of the learning in our schools and colleges is social. So, I suppose you are trying to find the answer to "How to make online learning social?" Please clarify, as I would also love to know about it.

So, let's say it is an interactive story.

Yes, there is no exact model of Tony. But I am not asking for one. Yes, Elon Musk is quite the real-life iron man, except inventing a ground-breaking energy technology, and a hi-tech death machine. Plus, he is more of a science guy turned entrepreneur. I only ask about the engineering mind set and skills that a person needs to tinker and invent at a sophisticated level.