Overview - Novel AI
Free Chat With CodeGPT v3 - Best Coding Assistant For Unique Code
Great! Here are your options again: Category 1: The experts will choose every feature instead of you - fast but imprecise; Category 2: The expert will ask to...
Phaser Game Enhancements
A conversational AI system that listens, learns, and challenges
Medium
ChatGPT - AiDE Planning Assistant GPT
A mulit-agent conductor to help create your planning document and collaborate with AI code assistants.
Sure! Let's get started. First, I'll guide you through the planning process step by step to make sure we cover everything thoroughly.
Step 1: User Alignment
Could you share some details about your web app idea? For example:
Purpose: What problem does it solve, or what goal does it achieve?
Target Audience: Who will use it?
Core Features: What are the main functionalities you envision?
Business Model: How will it generate value (free, subscription, ads, etc.)?
Technology Stack (if known): Any preferences for programming languages, frameworks, or tools?
Feel free to elaborate as much as you want—this is your chance to brainstorm freely, and we’ll refine the idea together!
My Plan | MaxAI.me
Summarize, answer questions, and polish writing across the web with AI in Chrome and Edge. Powered by GPT-4o, Claude-3.5, Gemini-1.5, Llama-3.1, Mistral.
Prompt "Stable Diffusion Prompt Expert" | MaxAI.me
Summarize, answer questions, and polish writing across the web with AI in Chrome and Edge. Powered by GPT-4o, Claude-3.5, Gemini-1.5, Llama-3.1, Mistral.
Prompts | MaxAI.me
Summarize, answer questions, and polish writing across the web with AI in Chrome and Edge. Powered by GPT-4o, Claude-3.5, Gemini-1.5, Llama-3.1, Mistral.
NovelAI Image Generation Intro Tutorial
A basic introduction to using our Image Generation feature: NovelAI Diffusion
https://novelai.net/links
googleapis/python-genai: Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications. This is an early release. API is subject to change. Please do not use this SDK in production environments at this stage
Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications. This is an early release. API is subject to change. Ple...
Prompt Perfect Cookbook: Your ChatGPT Prompt Guide
Prompt Perfect Cookbook: Your ChatGPT Prompt Guide
ChatGPT - Taskade
Taskade, the AI-Powered Productivity Platform.
1girl, , white princess, collar, leash, kneeling, tongue, 1boy, dark skin, inter s-4211184362.png
1girl, , white princess, collar, leash, kneeling, tongue, 1boy, dark skin, inter s-3634335400.png
1girl, pale skin, collar, leash, kneeling, tongue, 1boy, dark skin, interracial, s-3121603618.png
AI Was Born to Blog on LinkedIn | daily.dev
daily.dev is the easiest way to stay updated on the latest programming news. Get the best content from the top tech publications on any topic you want.
Building an Interactive Telegram Bot with Midjourney and ChatGPT
Use with Python Telegram Bot
Stories - NovelAI
NovelAI is a monthly subscription service for AI-assisted image generation, storytelling, or simply a LLM powered sandbox for your imagination.
NovelAI Diffusion V1 Weights Release (EN) | by Anlatan | Medium
Public NovelAI Diffusion V1 image generation model release
Studio - Flowgpt
Wonder AI
Press x in top left corner to skip payment prompt
Prompt Gen |Prompt Hackers
Prompt Generator
character.ai | Personalized AI for every moment of your day
Meet AIs that feel alive. Chat with anyone, anywhere, anytime. Experience the power of super-intelligent chat bots that hear you, understand you, and remember you.
Welcome to Character Book! | Character Book
Give this link to a Taskade Agent to train it in creating Character AI Bots
MaxAI.me: Read faster. Write better. Free AI extension.
Summarize, answer questions, and polish writing across the web with AI in Chrome and Edge. Powered by GPT-4o, Claude-3.5, Gemini-1.5, Llama-3.1, Mistral.
ChatGPT
A conversational AI system that listens, learns, and challenges
Building AI Applications With Haystack - DeepLearning.AI
Learn a flexible framework to build a variety of complex AI applications.
Building AI Applications with Haystack - DeepLearning.AI
Learn a flexible framework to build a variety of complex AI applications.
inference.chub.ai/openapi/openapi.json
{ "components": { "schemas": { "APIError": { "properties": { "code": { "default": "", "title": "Code", "type": "string" }, "error": { "default": "UNKNOWN", "title": "Error", "type": "string" }, "errorCode": { "default": 500, "title": "Errorcode", "type": "integer" }, "message": { "default": "UNKNOWN", "title": "Message", "type": "string" }, "param": { "title": "Param" }, "type": { "default": "UNKNOWN", "title": "Type", "type": "string" } }, "title": "APIError", "type": "object" }, "ChatMessage": { "properties": { "content": { "default": "Hi how are you?", "description": "The content of the message.", "title": "Content", "type": "string" }, "function_call": { "allOf": [ { "$ref": "#/components/schemas/FunctionCall" } ], "description": "Included for OpenAI compatibility, but ignored.", "title": "Function Call" }, "name": { "description": "The name of the author of this message.", "title": "Name", "type": "string" }, "role": { "default": "user", "description": "The role of the message. Generally system, assistant, or user. May be function in OpenAI, but such messages will produce incoherent output.", "title": "Role", "type": "string" } }, "title": "ChatMessage", "type": "object" }, "ChatRequest": { "properties": { "frequency_penalty": { "default": 1.1, "description": "Frequency penalty is a way to prevent word repetitions.", "title": "Frequency Penalty", "type": "number" }, "function_call": { "description": "Included for OpenAI compatibility, but ignored.", "title": "Function Call", "type": "string" }, "functions": { "default": [], "description": "Included for OpenAI compatibility, but ignored.", "items": { "$ref": "#/components/schemas/Function" }, "title": "Functions", "type": "array" }, "logit_bias": { "additionalProperties": { "type": "integer" }, "default": { }, "description": "Uses Llama2 token identities.", "title": "Logit Bias", "type": "object" }, "max_tokens": { "default": 300, "description": "The maximum tokens to return. This is a hard limit.", "title": "Max Tokens", "type": "integer" }, "messages": { "default": [ { "content": "Hi how are you?", "function_call": null, "name": null, "role": "user" } ], "description": "The chat messages to prompt with.", "items": { "$ref": "#/components/schemas/ChatMessage" }, "title": "Messages", "type": "array" }, "min_tokens": { "default": 50, "description": "Not part of the OpenAI specification. Attempts to return a response at least this long, but may not.", "title": "Min Tokens", "type": "integer" }, "model": { "default": "asha", "description": "The model to use. If using the combined endpoint, must be one of the available models. If using a model-specific endpoint, this value will be ignored and overridden by the path.", "title": "Model", "type": "string" }, "n": { "default": 1, "description": "Included for OpenAI compatibility, but ignored.", "title": "N", "type": "number" }, "presence_penalty": { "default": 1.1, "description": "Presence penalty is a way to prevent topic repetitions.", "title": "Presence Penalty", "type": "number" }, "stop": { "anyOf": [ { "items": { "type": "string" }, "type": "array" }, { "type": "string" } ], "default": [], "description": "A list of strings to stop generations at. Will override min_tokens.", "title": "Stop" }, "stream": { "default": false, "description": "Whether to return the response streaming. Defaults to false.", "title": "Stream", "type": "boolean" }, "temperature": { "default": 0.7, "description": "The temperature. Like creativity.", "title": "Temperature", "type": "number" }, "top_p": { "default": 0.999, "description": "The top percentage of tokens to sample from at each step.", "title": "Top P", "type": "number" }, "user": { "description": "Included for OpenAI compatibility, but ignored.", "title": "User", "type": "string" } }, "title": "ChatRequest", "type": "object" }, "ChatResponse": { "properties": { "choices": { "items": { "$ref": "#/components/schemas/Choice" }, "title": "Choices", "type": "array" }, "created": { "default": 0, "description": "When the completion was done, in seconds since unix epoch.", "title": "Created", "type": "integer" }, "id": { "default": "", "description": "A UUID4 identity for the completion response.", "title": "Id", "type": "string" }, "model": { "default": "asha", "description": "The model used to generate the response.", "title": "Model", "type": "string" }, "object": { "default": "chat.completion", "description": "The name of the response type. Included for OpenAI compatibility. Will currently always be chat.completion.", "title": "Object", "type": "string" }, "usage": { "$ref": "#/components/schemas/Usage" } }, "required": [ "usage", "choices" ], "title": "ChatResponse", "type": "object" }, "Choice": { "properties": { "finish_reason": { "title": "Finish Reason", "type": "string" }, "index": { "title": "Index", "type": "integer" }, "message": { "$ref": "#/components/schemas/ChatMessage" } }, "required": [ "message", "finish_reason", "index" ], "title": "Choice", "type": "object"