Mora
tiktoken
| Mora | tiktoken | |
|---|---|---|
| 1 | 30 | |
| 1,235 | 9,800 | |
| - | 4.6% | |
| 8.8 | 6.7 | |
| about 1 month ago | 20 days ago | |
| Jupyter Notebook | Python | |
| - | MIT License |
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Mora
tiktoken
- FLaNK AI - 01 April 2024
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GPT-3.5 crashes when it thinks about useRalativeImagePath too much
Their tokenizer is open source: https://github.com/openai/tiktoken
Data files that contain vocabulary are listed here: https://github.com/openai/tiktoken/blob/9e79899bc248d5313c7d...
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How fast is JS tiktoken?
OpenAI's refference tokeniser - https://github.com/openai/tiktoken
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Anthropic announces Claude 2.1 – 200k context, less refusals
ChatGPT presumably adds them as special tokens to the cl100k_base tokenizer, as they demo in the tiktoken documentation: https://github.com/openai/tiktoken#extending-tiktoken
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What is the best way to get an approximate number of tokens for a piece of text?
I want to measure the approximate number of tokens in a piece of text to understand if I will need to modify it before passing it into the context of an OpenAI API call. Tiktoken can do this, but I'm not sure if it's overkill to use that library just for this simple task. I don't need to actually tokenize the text, I just need an approximate count (e.g. within like 1% of the text's actual token length for text that represents the visible text on a webpage).
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Show HN: LLaMA tokenizer that runs in browser
https://platform.openai.com/tokenizer or the official python library tiktoken https://github.com/openai/tiktoken or this JS port of tiktoken https://github.com/dqbd/tiktoken
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Made a GPT-3.5-Turbo and GPT-4 Tokenizer
It's built on top of the tiktoken library and is basically just a lambda function in the backend.
- AiPrice - an API for calculating OpenAI tokens and pricing
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Anyone able to explain what happened here?
"All" is a single token in OpenAI's tiktoken Tokenizer, unrelated to the token for capital "A". Even lowercase "all" is a distinct token from "All" or "ALL."
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Which lib is the tokenizer page using to calculate the tokens?
check tiktoken
What are some alternatives?
tokenizer - Pure Go implementation of OpenAI's tiktoken tokenizer
daath-ai-parser - Daath AI Parser is an open-source application that uses OpenAI to parse visible text of HTML elements.
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
skypilot - SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
bricks - Open-source natural language enrichments at your fingertips.
terminal-copilot - A smart terminal assistant that helps you find the right command.
jupyter-scheduler - Run Jupyter notebooks as jobs
twitter-archive-parser - Python code to parse a Twitter archive and output in various ways
openai-cookbook - Examples and guides for using the OpenAI API
pulsar-io-google-pubsub
meetups - Meetup Materials
glow - Render markdown on the CLI, with pizzazz! 💅🏻