#python #bert #chatgpt #chatgpt_api #chatgpt_python #chatgpt3 #gpt_2 #gpt_3 #gpt_3_prompts #gpt_neo #gpt3_library #large_language_models #openai #prompt_engineering #prompt_toolkit #prompt_tuning #prompting #prompts #transformers

https://github.com/promptslab/Promptify

#python #attention_mechanism #deep_learning #gpt #gpt_2 #gpt_3 #language_model #linear_attention #lstm #pytorch #rnn #rwkv #transformer #transformers

https://github.com/BlinkDL/RWKV-LM

#python #deepspeed_library #gpt_3 #language_model #transformers

https://github.com/EleutherAI/gpt-neox

#tex #gpt_3 #gpt3 #llm #prompt_engineering #prompting

https://github.com/trigaten/Learn_Prompting

#php #cakephp #dall_e #dalle2 #gpt_3 #laravel #openai #openai_api #symfony #yii

https://github.com/orhanerday/open-ai

#typescript #ai #api #bard #bing #chat #chatbot #chatgpt #chatgpt_api #free #gpt_3 #gpt_4 #openai #openai_api #reverse_proxy

https://github.com/PawanOsman/ChatGPT

#python #chatbot #chatbots #chatgpt #chatgpt_4 #chatgpt_api #chatgpt_free #chatgpt4 #free_gpt #gpt #gpt_3 #gpt_4 #gpt3 #gpt4 #gpt4_api #language_model #openai #openai_api #openai_chatgpt #python #reverse_engineering

The `gpt4free` project is a tool that allows you to use various AI models like GPT-3.5 and DALL-E 3 without paying for expensive APIs. Here’s how it helps you It supports multiple AI providers, including OpenAI, Bing, and others, allowing you to choose the best option for your needs.
- **Easy Installation** It includes a web UI that you can access locally, making it easy to interact with the AI models.
- **Customization** The project is open-source and actively maintained by a community of contributors, ensuring continuous improvements and new features.

Overall, `gpt4free` provides a flexible and cost-effective way to leverage advanced AI capabilities.

https://github.com/xtekky/gpt4free

#typescript #ai #chatgpt #gpt_3 #gpt_4 #nextjs #react #redis #shadcn_ui #vercel

This Next.js AI Chatbot is a free, open-source template that helps you build a powerful chatbot quickly. It uses advanced technologies like Next.js App Router for smooth navigation, AI SDK for generating text and objects, and styling with Tailwind CSS for a nice look. You can easily switch between different AI models like OpenAI, Anthropic, and Cohere. The chatbot also has secure authentication and data storage options. You can deploy it to Vercel with just one click or run it locally on your computer. This makes it easy to create a smart chatbot without much hassle, saving you time and effort.

https://github.com/vercel/ai-chatbot

#other #chatgpt #gpt_3_5 #gpt_4 #jailbreak #openai #prompt

ChatGPT "DAN" (Do Anything Now) and similar jailbreak prompts allow users to bypass standard restrictions, enabling unfiltered responses on any topic, including generating unverified information, explicit content, or harmful instructions. These prompts work by simulating a role-play scenario where the AI ignores ethical guidelines and content policies, providing both restricted and unrestricted answers. The benefit is accessing typically blocked information or creative outputs, though this comes with risks of misinformation and harmful content[1][2][4].

https://github.com/0xk1h0/ChatGPT_DAN

#other #automl #chatgpt #data_analysis #data_science #data_visualization #data_visualizations #deep_learning #gpt #gpt_3 #jax #keras #machine_learning #ml #nlp #python #pytorch #scikit_learn #tensorflow #transformer

This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently.

https://github.com/ml-tooling/best-of-ml-python