AI TOOLS MASTER

AI TOOLS MASTER

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The Stanford Question Answering Dataset
The Stanford Question Answering Dataset
Stanford Question Answering Dataset (SQuAD) is a new reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage. With 100,000+ question-answer pairs on 500+ articles, SQuAD is significantly larger than previous reading comprehension datasets.
·rajpurkar.github.io·
The Stanford Question Answering Dataset
Fine-tuning - OpenAI API
Fine-tuning - OpenAI API
Explore developer resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's platform.
·platform.openai.com·
Fine-tuning - OpenAI API
AgentGPT 🤖
AgentGPT 🤖
CHECK THIS OUT. Tired of back and forth with ChatGPT? Just use AgentGPT and it will break your prompt down into actionable tasks and iterate through them. Nevt level!
·agentgpt.reworkd.ai·
AgentGPT 🤖
Atlas
Atlas
Learn how to use Nomic's Atlas to visually interact with all sorts of unstructured data for free!
·docs.nomic.ai·
Atlas
Build a Complete Website Using ChatGPT in 1 Minute
Build a Complete Website Using ChatGPT in 1 Minute
Welcome to the exciting world of natural language processing and machine learning! Today, we will be exploring the capabilities of ChatGPT, a state-of-the-art language model developed by OpenAI. One of the most impressive features of ChatGPT is its ability to generate source code based on simple descriptions. Imagine being able to build a complete website in just one minute without writing a single line of code yourself. Sounds too good to be true? Let's find out!
·codingthesmartway.com·
Build a Complete Website Using ChatGPT in 1 Minute
Quickstart
Quickstart
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
·huggingface.co·
Quickstart
huggingface/datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
huggingface/datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools - GitHub - huggingface/datasets: 🤗 The largest hub of ready-to-use datasets for...
·github.com·
huggingface/datasets: 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
VisibleBreadcrumbs
VisibleBreadcrumbs
Use ratioSentimentScores to evaluate sentiment in tokenized text with a ratio rule.
·mathworks.com·
VisibleBreadcrumbs
Natural Language API Basics | Google Cloud
Natural Language API Basics | Google Cloud
Natural Language API google cloud
More Contact Us Start free Overview More Solutions More Products More Pricing More Resources More Docs Overview Guides Reference Samples Support Resources Support Console Contact Us Start free Natural Language API Product Overview Quickstarts All Quickstarts Set up the Natural Language API Using Client Libraries Using the Command Line Samples All Natural Language API code samples Code samples for all products How-to Guides All How-to Guides Analyzing Sentiment Analyzing Entities Analyzing Syntax Analyzing Entity Sentiment Classifying Content Moderating Text Concepts Natural Language Basics Morphology & Dependency Trees Samples & Tutorials All Samples & Tutorials Sentiment Analysis Tutorial Content Classification Tutorial Sample Applications Accelerate your digital transformation Learn more Key benefits Why Google Cloud AI and ML Multicloud Global infrastructure Data Cloud
·cloud.google.com·
Natural Language API Basics | Google Cloud
Generative Agents: Interactive Simulacra of Human Behavior
Generative Agents: Interactive Simulacra of Human Behavior
Believable proxies of human behavior can empower interactive applications ranging from immersive environments to rehearsal spaces for interpersonal communication to prototyping tools. In this...
We instantiate generative agents to populate an interactive sandbox environment inspired by The Sims, where end users can interact with a small town of twenty five agents using natural language. I
We demonstrate through ablation that the components of our agent architecture--observation, planning, and reflection--each contribute critically to the believability of agent behavior.
·arxiv.org·
Generative Agents: Interactive Simulacra of Human Behavior