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For all tasks, GPT-3 is applied without any gradient updates or fine-tuning, with tasks and few-shot demonstrations specified purely via text interaction with the model. GPT-3 achieves strong performance on many NLP datasets, including translation, question-answering, and cloze tasks, as well as several tasks that require on-the-fly reasoning ...
As with any machine-learned model, carefully evaluate GPT-2 for your use case, especially if used without fine-tuning or in safety-critical applications where reliability is important. The dataset our GPT-2 models were trained on contains many texts with biases and factual inaccuracies, and thus GPT-2 models are likely to be biased and ...
By default, gpt-engineer expects text input via a prompt file. It can also accept image inputs for vision-capable models. This can be useful for adding UX or architecture diagrams as additional context for GPT Engineer. You can do this by specifying an image directory with the
Undoubtedly, if you are familiar with Zotero APIs, you can develop your own code. The code snippet will be executed, and the text returned by the code snippet will replace the code snippet. Finally, the replaced text will be input to GPT. So, theoretically, you can accomplish all interactions between Zotero and GPT using command tags.
GitHub Copilot transforms the developer experience. Backed by the leaders in AI, Copilot provides contextualized assistance throughout the software development lifecycle, from code completions and chat assistance in the IDE to code explanations and answers to docs in GitHub and more.
🧠 GPT-Based Answering: Leverage the capabilities of state-of-the-art GPT language models for accurate and context-aware responses. 🤖 Versatile Query Handling: Ask WormGPT anything, from general knowledge inquiries to specific domain-related questions, and receive comprehensive answers.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale. - Lightning-AI/litgpt
2 avr. 2024 · gpt-author. This project utilizes a chain of GPT-4, Stable Diffusion, and Anthropic API calls to generate an original fantasy novel. Users can provide an initial prompt and enter how many chapters they'd like it to be, and the AI then generates an entire novel, outputting an EPUB file compatible with e-book readers.
OpenAI Python API library. The OpenAI Python library provides convenient access to the OpenAI REST API from any Python 3.8+ application. The library includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx.
Welcome to DarkGPT! DarkGPT is your friendly artificial intelligence assistant powered by GPT-4-200K, specially designed to help you perform insightful queries on leaked databases. Whether you're setting it up for personal use or within a team, this guide will walk you through the steps to get DarkGPT up and running on your local machine.
