221–230 of 723 posts
Surpassing GPT4 is huge for any model, very impressive to pull off. But then again...GPT4 is a year old and OpenAI has not yet revealed their next-gen model.
GPT-4-1106-preview GPT-4-0125-preview
See: https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboar...
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Sorry I did what? When?
You linked to a lesswrong post with prompts asking the AI to explain jokes (among other tasks?) and said only Openai models can do it, didn't you? I'm confused why you said only OpenAI models can do it?
I just released a plugin for my LLM command-line tool that adds support for the new Claude 3 models: pipx install llm llm install llm-claude-3 llm keys set claude # paste Anthropic API key here llm -m claude-3-opus '3 fun facts about pelicans' llm -m claude-3-opus '3 surprising facts about walruses' Code here: https://github.com/simonw/llm-claude-3 More on LLM: https://llm.datasette.io/
Big fan of your work with the LLM tool. I have a cool use for it that I wanted to share with you (on mac).
First, I created a quick action in Automator that recieves text. Then I put together this script with the help of ChaptGPT:
escaped_args=""
for arg in "$@"; do
escaped_arg=$(printf '%s\n' "$arg" | sed "s/'/'\\\\''/g")
escaped_args="$escaped_args '$escaped_arg'"
done
result=$(/Users/XXXX/Library/Python/3.9/bin/llm -m gpt-4 $escaped_args)
escapedResult=$(echo "$result" | sed 's/\\/\\\\/g' | sed 's/"/\\"/g' | awk '{printf "%s\\n", $0}' ORS='')
osascript -e "display dialog \"$escapedResult\""
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opus. only the best!
Awesome! I like the inline completions. But could you let the users choose their keyboard shortcuts before setting the default ones?
Are you asking because it conflicts with an existing shortcut on your setup? Or another reason?
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Barrier to entry with "few $B" is pretty high. Especially since the scaling laws indicate that it's only getting more expensive. And even if you manage to raise $Bs, you still need to be clever on how to deploy it (talent, compute, data) ...
You’re totally right, a few $B is not something any of us are bootstrapping. But there is no secret sauce (at least none that stays secret for long), no meaningful patents, no network/platform effect, and virtually no ability to lock in customers. Compare to other traditional tech companies… think Uber/AirBnB/Databricks/etc. Their product isn’t an algorithm that a competitor can spin up in 6 months. These companies c…
I think we'll see that data, knowledge and intelligence compound and at some point it will be as hard to penetrate as Meta's network effects.
I just released a plugin for my LLM command-line tool that adds support for the new Claude 3 models: pipx install llm llm install llm-claude-3 llm keys set claude # paste Anthropic API key here llm -m claude-3-opus '3 fun facts about pelicans' llm -m claude-3-opus '3 surprising facts about walruses' Code here: https://github.com/simonw/llm-claude-3 More on LLM: https://llm.datasette.io/
Hi Simon, Big fan of your work with the LLM tool. I have a cool use for it that I wanted to share with you (on mac). First, I created a quick action in Automator that recieves text. Then I put together this script with the help of ChaptGPT: escaped_args="" for arg in "$@"; do escaped_arg=$(printf '%s\n' "$arg" | sed "s/'/'\\\\''/g") escaped_args="$escaped_args '$escaped_arg'" done result=$(/Users/XXXX/Library/Python/…
Just signed up for Claude Pro to try out the Opus model. Decided to throw a complex query at it, combining an image with an involved question about SDXL fine tuning and asking it to do some math comparing the cost of using an RTX 6000 Ada vs an H100. It made a lot of mistakes. I provided it with a screenshot of Runpod's pricing for their GPUs, and it misread the pricing on an RTX 6000 ADA as $0.114 instead of $1.14.…
I'm convinced GPT is running separate helper functions on input and output tokens to fix the 'tokenization' issues. As in, find items of math, send it to this hand made parser and function, then insert result into output tokens. There's no other way to fix the token issue. For reference, Let's build the GPT Tokenizer https://www.youtube.com/watch?v=zduSFxRajkE
Just signed up for Claude Pro to try out the Opus model. Decided to throw a complex query at it, combining an image with an involved question about SDXL fine tuning and asking it to do some math comparing the cost of using an RTX 6000 Ada vs an H100. It made a lot of mistakes. I provided it with a screenshot of Runpod's pricing for their GPUs, and it misread the pricing on an RTX 6000 ADA as $0.114 instead of $1.14.…
Hi, CISO of Anthropic here. Thank you for the feedback! If you can share any details about the image, please share in a private message. No LLM has had an emergent calculator yet.