Thank you for your work on DwarfStar! It is truly helping democratize access to frontier tech.
Do you have any recommended reading on the history of Christianity? I find it challenging to find unbiased / purely historical explanations of how we got to this point.
How do you feel about this in retrospect? Those observations sound heavily firm-dependent, but I would be interested in learning which non-tech functions offer higher compensation possibilities
can you link to the overall approach or references for your work?
Can you share the name of the company or more product details? Curious to know more about what solutions in this space look like
And that’s not quantized at all, correct? If so, then the parent comment’s sentiment holds true…. Exciting stuff.
Solid use case for Saul Goodman LLM alignment
What forum are you referring to?
What’s a Notch?
Awesome! Did you document your teardown and guitar amp build anywhere? What a unique project. Would love to see it.
Classic. This was a common failure mode for the 360 as well. Used to fix friends 360s that had the red ring of death by tearing them down, tightening the braces underneath the heat sink, and adding an additional case…
What a fascinating read, thanks for sharing that link.
That paper is incredible. It’s crazy that they found 41% of all DN connections receive recurrent feedback from a downstream neuron. Some things that may be commonplace understanding in the neuroscience community but…
Look into Nix / NixOS
What tests are you running? Anything outside of the alpaca eval test suite?
Also interested. Would be really great to run this against a self hosted LLM agent.
Does this mean your queries are all one-shot instead of utilizing techniques like LangChain?
‘Big Tech’ will always be there in some form down the road. If you have the risk tolerance and early career flexibility, take the path less traveled.
Black bar?
ControlNet is the new development that will really allow us to guide diffusion model outputs more granularly - first I’m seeing it used against video generation
Thanks for your work in this space, it’s incredible!
I’ve been sidetracked with work but planning on tuning llama 65B to produce alpaca 65B, will distribute via huggingface or torrent.. FWIW running the 30B alpaca-lora model quantized to 4-bit via llama.cpp has given me…
What is the closest approach we know of today that plays games, not plays? The dialogue above is compelling, and makes me wonder if the same critique can be levied against most prior art in machine learning applied…
Okay I’ll bite - please elaborate!
Interesting, where can I learn more about prompting, and tuning a raw model?
Thank you for your work on DwarfStar! It is truly helping democratize access to frontier tech.
Do you have any recommended reading on the history of Christianity? I find it challenging to find unbiased / purely historical explanations of how we got to this point.
How do you feel about this in retrospect? Those observations sound heavily firm-dependent, but I would be interested in learning which non-tech functions offer higher compensation possibilities
can you link to the overall approach or references for your work?
Can you share the name of the company or more product details? Curious to know more about what solutions in this space look like
And that’s not quantized at all, correct? If so, then the parent comment’s sentiment holds true…. Exciting stuff.
Solid use case for Saul Goodman LLM alignment
What forum are you referring to?
What’s a Notch?
Awesome! Did you document your teardown and guitar amp build anywhere? What a unique project. Would love to see it.
Classic. This was a common failure mode for the 360 as well. Used to fix friends 360s that had the red ring of death by tearing them down, tightening the braces underneath the heat sink, and adding an additional case…
What a fascinating read, thanks for sharing that link.
That paper is incredible. It’s crazy that they found 41% of all DN connections receive recurrent feedback from a downstream neuron. Some things that may be commonplace understanding in the neuroscience community but…
Look into Nix / NixOS
What tests are you running? Anything outside of the alpaca eval test suite?
Also interested. Would be really great to run this against a self hosted LLM agent.
Does this mean your queries are all one-shot instead of utilizing techniques like LangChain?
‘Big Tech’ will always be there in some form down the road. If you have the risk tolerance and early career flexibility, take the path less traveled.
Black bar?
ControlNet is the new development that will really allow us to guide diffusion model outputs more granularly - first I’m seeing it used against video generation
Thanks for your work in this space, it’s incredible!
I’ve been sidetracked with work but planning on tuning llama 65B to produce alpaca 65B, will distribute via huggingface or torrent.. FWIW running the 30B alpaca-lora model quantized to 4-bit via llama.cpp has given me…
What is the closest approach we know of today that plays games, not plays? The dialogue above is compelling, and makes me wonder if the same critique can be levied against most prior art in machine learning applied…
Okay I’ll bite - please elaborate!
Interesting, where can I learn more about prompting, and tuning a raw model?