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Making your code open source has several advantages: It allows others to review your code for potential bugs. As with prose, it is often difficult for the author of code to adequately review it. Others can use your code to build their own bots. A user new to bot writing may be able to use your code as an example or a template for their own bots.
Grok is a generative artificial intelligence chatbot developed by xAI. Based on the large language model (LLM) of the same name, it was launched in 2023 as an initiative by Elon Musk. [3] The chatbot is advertised as having a "sense of humor" and direct access to X (formerly Twitter).
A chatbot (originally chatterbot) [1] is a software application or web interface designed to have textual or spoken conversations. [2] [3] [4] Modern chatbots are typically online and use generative artificial intelligence systems that are capable of maintaining a conversation with a user in natural language and simulating the way a human would behave as a conversational partner.
Codex is an AI system that translates natural language into code. OpenAI says Codex is "most capable" in Python, but is also proficient in over a dozen coding languages like JavaScript and Swift.
This version of ChatGPT is an earlier generation of the software called GPT 3.5, originally released in early 2022. And this open-access version does have a few caveats: For one, you can’t save ...
Copilot’s OpenAI Codex was trained on a selection of the English language, public GitHub repositories, and other publicly available source code. [2] This includes a filtered dataset of 159 gigabytes of Python code sourced from 54 million public GitHub repositories. [15] OpenAI’s GPT-3 is licensed exclusively to Microsoft, GitHub’s parent ...
A rapidly growing, benign form of internet bot is the chatbot. From 2016, when Facebook Messenger allowed developers to place chatbots on their platform, there has been an exponential growth of their use on that app alone. 30,000 bots were created for Messenger in the first six months, rising to 100,000 by September 2017. [10]
The safetensors format was developed around 2021 to solve problems with using Python's pickle format (that was then used in PyTorch). It was designed for saving and loading tensors. Compared to pickle format, it allows lazy loading, and avoids security problems. [21] After a security audit, it became the default format in 2023. [22]