Is not that hard, they have amazing documentation about it: https://core.telegram.org/bots. Source: 12 months ago

You can make authorization via Telegram another way. It works. But today we want to do the classic OAuth Authorization. Before you begin, you need to create a Telegram bot and obtain your bot token. You can do this in @BotFather in Telegram. For more information on initiating a bot, read the Telegram Bot API documentation: https://core.telegram.org/bots. - Source: dev.to / about 1 year ago

Creating a Telegram bot is fun: there's no website, no sign up, no forms — you just use a... bot. Yes, a bot that creates bots. It's called the BotFather 😂. - Source: dev.to / over 1 year ago

It's done via bots, which let you add clickable options to posts. Here's an FAQ on bots: https://core.telegram.org/bots. Source: almost 2 years ago

We'll create a class Bot, which will be the core of our program (that's unsurprising, considering we're writing the telegram bot). During its instantiation, it will read the token from your telegram bot (to learn how to register one go here) and build a basic bot app. Along with this, we're gonna add two async methods to our class, which will serve as message handlers (functions that are invoked when a specific... - Source: dev.to / almost 2 years ago

Log in to your Huggingface account at https://huggingface.co. Click Access Token in the menu to generate a new token. - Source: dev.to / 3 days ago

While looking into how to create text embeddings quickly and directly, we discovered a few helpful tools that allowed us to achieve our goal. Consequently, we created an easy-to-use PHP extension that can generate text embeddings. This extension lets you pick any model from Sentence Transformers on HuggingFace. It is built on the CandleML framework, which is written in Rust and is a part of the well-known... - Source: dev.to / 9 days ago

These libraries are fundamental for building and training our GPT model. PyTorch is a deep learning framework that provides flexibility and speed, while the Transformers library by Hugging Face offers pre-trained models and tokenizers, including GPT-2. - Source: dev.to / 13 days ago

Hugging Face is a company and community platform making AI accessible through open-source tools, libraries, and models. It is most notable for its transformers Python library, built for natural language processing applications. This library provides developers a way to integrate ML models hosted on Hugging Face into their projects and build comprehensive ML pipelines. - Source: dev.to / 22 days ago

We will use the OpenAI embeddings API to convert the content of the blog posts into vector embeddings. You will need to sign up for an API key on the OpenAI website to use the API. You will need to provide your credit card information as there is a cost associated with using the API. You can review the pricing on the OpenAI website. There are alternatives to generate embeddings. Hugging Face provides... - Source: dev.to / 21 days ago