4-turbo should have a knowledge up to December 2023. But it doesn't know anything about the cli tools you created before then (except shot-scraper). Compare 4-

4-turbo should have a knowledge up to December 2023. But it doesn't know anything about the cli tools you created before then (except shot-scraper). Compare 4-turbo to 4o llm -m 4t "Tell me about these cli tools and link to them: - llm: - ttok - symbex - shot-scraper " Among the tools you've listed, "shot-scraper" is the only one that I could provide detailed information about based on widespread use and documentation available as of the last update. As for "llm," "ttok," and "symbex," there isn't readily available, widely recognized information on tools precisely matching those names, so it's possible they might be lesser-known tools, newly released, or possibly regional or specialized tools not widely documented in widely-used platforms. (Truncated) llm -m 4t "Tell me about these cli tools and link to them: - llm: - ttok - symbex - shot-scraper " As of my last knowledge update in September 2023, here is the information on the CLI tools you are asking about: 1. *llm*: - I couldn't find a specific command line tool named "llm" that is widely recognized or used. It could be a lesser-known tool, a new tool, or potentially a typographical error. Please verify the tool's name and provide additional details if possible. 2. *ttok*: - As with "llm," there isn't any widely known CLI tool named "ttok." (Truncated) llm -m 4o "Tell me about these cli tools and link to them: - llm: - ttok - symbex - shot-scraper " Sure! Here are brief descriptions of the CLI tools you mentioned along with links to their official repositories or webpages: ### 1. llm `llm` is a command-line interface (CLI) tool to interact with large language models like OpenAI's GPT-3. It allows you to query these models directly from the terminal, making it easy to integrate AI capabilities into your workflow or automate tasks. - *Link*: [llm GitHub Repository](https://github.com/simonw/llm https://github.com/simonw/llm) ### 2. ttok `ttok` is a CLI tool for working with tokenizers. It's a tool under development aimed at helping users understand how tokenization processes text, which is essential for preparing data for machine learning models, especially in NLP applications. - *Link*: [ttok GitHub Repository](https://github.com/simonw/ttok https://github.com/simonw/ttok) ### 3. symbex `Symbex` is a CLI tool for performing symbolic execution on Python bytecode. It can analyze Python code to find potential bugs, vulnerabilities, or logical errors by exploring all possible execution paths. - *Link*: [symbex GitHub Repository](https://github.com/simonw/symbex https://github.com/simonw/symbex) (Truncated) llm -m 4o "Tell me about these cli tools and link to them: - llm: - ttok - symbex - shot-scraper " Sure, here is a brief overview of each CLI tool along with links to their respective repositories or documentation: 1. *llm (Language Model CLI)* - *Description*: The `llm` command-line tool leverages large language models, such as OpenAI's GPT-3, to make it easier to incorporate AI functionalities into your command-line tasks. You can use it to generate text, answer questions, and assist with coding or other language-based tasks directly from your terminal. - **Link**: [llm on GitHub](https://github.com/simonw/llm) 2. *ttok* - *Description*: `ttok` is a simple command-line utility that provides tokenization for text, particularly useful for breaking down input for language models. It helps to preprocess text, count tokens, or manage tokens more efficiently from the command line. - **Link**: [ttok on GitHub](https://github.com/simonw/ttok) 3. *symbex (Symbolic Execution)* - *Description*: `symbex` is a CLI tool designed for searching codebases. It employs symbolic execution to analyze code paths and find functions, variables, or other code elements. This can be particularly useful for developers looking for higher-precision searches in large codebases. - **Link**: [symbex on GitHub](https://github.com/paulgb/symbex) (Truncated) Clearly, openai did a lot more web scraping for this model.