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Sorry that annoyed you.

One thing to bear in mind is that at Weaveworks we made massive contributions and did our best to be part of the community in the right way:

* Flux * Flagger * Cortex * Ignite * Weave Net * and a whole host more

Oh and there's a load of people without jobs tonight - wondering about their futures - hopefully people will see the talent and the contributions and find roles for them.


For Falcon specifically, this is easy, it's embedded here: https://huggingface.co/blog/falcon#demo or you can access the demo here: https://huggingface.co/spaces/HuggingFaceH4/falcon-chat

I just tested both and it's pretty zippy (faster than AMD's recent live MI300 demo).

For llama-based models, recently I've been using https://github.com/turboderp/exllama a lot. It has a Dockerfile/docker-compose.yml so it should be pretty easy to get going. llama.cpp is the other easy one and the most recent updates put it's CUDA support only about 25% slower and generally is a simple `make` with a flag depending on which GPU you support you want and has basically no dependencies.

Also, here's a Colab notebook that should let shows you run up to 13b quantized models (12G RAM, 80G disk, Tesla T4 16G) for free: https://colab.research.google.com/drive/1QzFsWru1YLnTVK77itW... (for Falcon, replace w/ Koboldcpp or ctransformers)


Hi, I like this! I'm curious what drove the decision to use the vertical block builder style you chose. I'm partial to node-based editors and have been building things with React Flow recently. LangFlow [1] is a good example, but there's lots of UIs that use a similar interface (e.g. Blender [2] and Unity [3]).

[1] https://github.com/logspace-ai/langflow

[2] https://docs.blender.org/manual/en/3.5/interface/controls/no...

[3] https://unity.com/features/unity-visual-scripting


For those wanting a cheaper version that is small and works great. I've been using this for a while at home. It integrates nicely with home assistant.

https://community.home-assistant.io/t/sniffer-air-quality-se...

https://github.com/kylemanna/sniffer


I'm not sure I'm the best person to ask about this as I was very naive at that point in my journey. Launching Preceden was literally posting on HackerNews and hoping for the best.

I would encourage you to join Microconf Connect, a Slack community of software entrepreneurs, where topics like this are discussed often: https://microconf.com/connect. Many of the old Microconf conference presentations are also on YouTube: https://www.youtube.com/c/MicroConf


I bought an x86 box from China with 6x Intel i210 GbE NICs onboard a few weeks back and reviewed it here: https://johannes.truschnigg.info/reviews/2021-01_fwbox/

It's my favorite OpenWrt router so far, and I've owned quite a few since I started using it on a WRT54G :)


Yes, there are tons of resources but I'll try to offer some simple tips.

1. Sales is a lot like golf. You can make it so complicated as to be impossible or you can simply walk up and hit the ball. I've been leading and building sales orgs for almost 20 years and my advice is to walk up and hit the ball.

2. Sales is about people and it's about problem solving. It is not about solutions or technology or chemicals or lines of code or artichokes. It's about people and it's about solving problems.

3. People buy 4 things and 4 things only. Ever. Those 4 things are time, money, sex, and approval/peace of mind. If you try selling something other than those 4 things you will fail.

4. People buy aspirin always. They buy vitamins only occassionally and at unpredictable times. Sell aspirin.

5. I say in every talk I give: "all things being equal people buy from their friends. So make everything else equal then go make a lot of friends."

6. Being valuable and useful is all you ever need to do to sell things. Help people out. Send interesting posts. Write birthday cards. Record videos sharing your ideas for growing their business. Introduce people who would benefit from knowing each other then get out of the way, expecting nothing in return. Do this consistently and authentically and people will find ways to give you money. I promise.

7. No one cares about your quota, your payroll, your opex, your burn rate, etc. No one. They care about the problem you are solving for them.

There is more than 100 trillion dollars in the global economy just waiting for you to breathe it in. Good luck.


I have a personal list of macOS apps I use that is similar & goes in detail in how I use the apps.

https://github.com/nikitavoloboev/my-mac-os

Karabiner specifically is life changing software.

At this point ALL keys on my keyboard are custom modifier keys. It's wild.

https://github.com/nikitavoloboev/dotfiles/blob/master/karab...


Seems like a good time to plug my favorite FOSS alternative, Snapcast.

https://github.com/badaix/snapcast#Snapcast

https://www.home-assistant.io/blog/2016/02/18/multi-room-aud...

I use shairplay[0] to stream from an iOS/macOS device, and Mopidy[1] with the Iris UI[2] to play server-side from your music collection, Spotify, or other internet radio.

[0] https://github.com/juhovh/shairplay

[1] https://mopidy.com/

[2] https://github.com/jaedb/Iris#readme

My "speakers" are cheapo Bluetooth speakers with a raspberry pi attached to the back. Works beautifully and reliably. If the old Sonos devices have line in, maybe this is a way to continue using them?


Pretty sure if you go through the effort to challenge such charges you can get them changed. https://www.vox.com/2019/3/22/18261698/how-to-fight-expensiv...

There’s a review[1] on Amazon that speaks to the kind of books Gladwell writes, and it's both funny and perhaps contains a shred of truth. It goes:

”There's a school of thought that runs something like this: the average US citizen isn't very bright, has a limited attention span, and has an appetite only for the superficial. So if you want to write a book about something you feel to be important, you have to sugar the pill - with lots and lots of sugar and make sure it's a very small pill indeed.

Hence the style "American-Folksy." In this genre the author leads the reader gently along by means of first-person narrative, tons of anecdote, and just the gentlest hint of new information here and there. The lexicon is undemanding and the pace is calculated to be just brisk enough to prevent the onset of catatonia while being leisurely enough not to require any strenuous intellectual activity on the part of the reader. It's basically DisneyWords.

This is a well-tried genre used across a wide variety of subjects. In Search of Excellence and The Omnivore's Dilemma both use the same style despite their contexts being very different. And Weiner uses American-Folksy here for precisely the same reasons and to precisely the same effect. The purpose of American-Folksy is to take something that could have made a somewhat interesting 6-page monograph and stretch it out into a book-length peregrination.”

[1] https://www.amazon.com/gp/customer-reviews/R3KMN29SZX9ZKS/re...


Upload? Come on, just load it as dataURI, bookmark it and you have offline "application" at your disposal. And as a bonus, here, have this "distributed app store" you can even print on paper [1].

[1] http://zxing.org/w/chart?cht=qr&chs=350x350&chld=L&choe=UTF-...

i.e. QR-coded dataURI document

    data:text/html;charset=utf-8,<!DOCTYPE html><title>Screen light</title><html onclick=on=!on;this.style.background=on%3F'white':'black'><body onload=on=true>

Start slow, don't push until your broken, just push enough so your body has to adapt. If you've not been doing a lot of exercise just starting walking for 30 mins 4 times a week can be a good start.

After a couple of weeks you'll start adapting to that and feeling a lot better. Then you might want to join up at a gym.

I'd say start with something easy like the machines for a few months. The machines aren't the best way to lift but they're pretty hard to get wrong, come with instructions and get you used to going to the gym.

Limit your time at the gym. For me 40 mins and I'm out. If you feel like you have to be there for a long time it can impact the rest of your life and cause you to give up on it. Regular workouts are key to changing. Not one off insanely intense marathon sessions.

After 3 months or so you'll start noticing a little more energy and confidence. I'd say it's time to learn some barbell lifts. Deadlift, squat, bench press and overhead press. Get good at those over a year or so and you'll be amazed at the changes you see.

Starting strength is a great book to get you going on those lifts. If you can afford it a trainer is also a great way to start. https://athleanx.com/ is also something I've heard nothing but good things about.

Mobility is also huge, learn to stretch from day one. You'll feel amazing if you can get in 20 mins 3 times a week.


Good post. I want to add several great resources.

- Grokking Deep Learning

https://www.manning.com/books/grokking-deep-learning

This is a fantastic book that assumes no prerequisites other than knowing python, and takes you through the fundamentals of DL. It has very intuitive and easy to follow explanations, and doesn't use any libraries other than NumPy, so you're building the whole thing yourself, from scratch.

- Deep Learning With Python

https://machinelearningmastery.com/deep-learning-with-python...

This is kind of the opposite of the previous one, it doesn't go into math and theory, instead it guides you through building several practical projects with a very simple to use DL library(keras). It's a great way to gain practical experience in addition to theory from the previous book. Also has no prerequisites other than python, and makes it very easy to get started.

- 3blue1brown videos on neural networks:

https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_6700...

Extremely brilliant high-level concise overview of how ANNs work. I highly recommend you get started here. You should also check out his videos on calulus and linear algebra, they're fantastic way to learn the math you need.

- Khan Academy videos - one of the easiest ways to learn the math prerequisites.

Calculus:

https://www.khanacademy.org/math/calculus-home

Linear Algebra:

https://www.khanacademy.org/math/linear-algebra

Probability and Statistics:

https://www.khanacademy.org/math/statistics-probability

- Hands-On Machine Learning with Scikit-Learn and TensorFlow

http://shop.oreilly.com/product/0636920052289.do

I haven't read this one yet, but it looks very promising, and a lot of people seem to find it very useful.

- Andrew Ng's Coursera course

https://www.coursera.org/learn/machine-learning

Everyone knows about this one, I just think every article on AI resources should mention it, one of the most popular ways to get started with ML.

- New MIT courses on Self-Driving cars and AGI

https://selfdrivingcars.mit.edu

https://agi.mit.edu

- The Master Algorithm

https://www.audible.com/pd/Science-Technology/The-Master-Alg...

Excellent high-level overview of ML field and algorithms.

====

Other great stuff:

- Artificial Intelligence: A Modern Approach

http://aima.cs.berkeley.edu/

The leading textbook in Artificial Intelligence. It's not the fastest way to get started, but it's considered one of the best AI textbooks ever written.

- Stanford AI course (CS 188)

https://www.youtube.com/playlist?list=PLIeooNSdhQE5kRrB71yu5...

Brilliant course based on AIMA. Not DL, but solid fundamentals of AI and ML.

- Couple of great playlists on DL, just to complete the collection:

Machine Learning with Python

https://www.youtube.com/playlist?list=PLQVvvaa0QuDfKTOs3Keq_...

Neural Networks Demystified

https://www.youtube.com/watch?v=bxe2T-V8XRs&index=1&list=PLi...


This is what I do and it's great. CloudFlare supports HTTPS for GitHub Pages, would definitely recommend it as although Namecheap is pretty good CloudFlare make everything DNS, CDN and security related soo easy for $0. (I'm not affiliated with them in any way :P )

https://blog.cloudflare.com/secure-and-fast-github-pages-wit...


Open Source Projects/Platforms:

ADAM (Big Data Genomics, code-base I think worked currently by UC Berkeley AMPLab and Microsoft Research group focused on cancer research) https://github.com/bigdatagenomics/adam/labels/pick%20me%20u...

BioConductor (R package that is very popular for crunching different genomic analysis, RNA-Seq)https://www.bioconductor.org/developers/

Galaxy (Platform for reproducible genomics workflows in the cloud)https://wiki.galaxyproject.org/Support

Public Available Data Sets:

Cancer Genome Atlas (contains expression data for different kinds of cancer) http://cancergenome.nih.gov/

NCBI Short Reads Archive (contains the genome assembly of a lot of published papers): https://www.ncbi.nlm.nih.gov/sra

European Nucleotide Archive: http://www.ebi.ac.uk/ena, e.g.,

For a recent major paper, "The Simons Genome Diversity Project: 300 genomes from 142 diverse populations"; you can grep for "accession code"(http://www.nature.com/nature/journal/vaop/ncurrent/full/natu...), follow the link and download the whole raw assemblies of all samples here: http://www.ebi.ac.uk/ena/data/view/PRJEB9586

MOOC:

https://www.edx.org/xseries/genomics-data-analysis

https://www.coursera.org/specializations/bioinformatics

StackOverflow:

https://www.biostars.org/

http://seqanswers.com/

Jobs:

NYGC, JCVI, CRB, Sanger, BGI, Broad, NIH, NCBI, Janelia Farm; any research group in universities; any informatics job at pharmaceutical or pharma startups.


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