Natural Language Processing with spaCy & Python - Course for Beginners
In this spaCy tutorial, you will learn all about natural language processing and how to apply it to real-world problems using the Python spaCy library.
💻 Course website with code: http://spacy.pythonhumanities.com/
✏️ Course developed by Dr. William Mattingly. Check out his channel: https://www.youtube.com/pythontutorialsfordigitalhumanities
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Course Introduction
⌨️ (0:03:56) Intro to NLP
⌨️ (0:11:53) How to Install spaCy
⌨️ (0:17:33) SpaCy Containers
⌨️ (0:21:36) Linguistic Annotations
⌨️ (0:45:03) Named Entity Recognition
⌨️ (0:50:08) Word Vectors
⌨️ (1:05:22) Pipelines
⌨️ (1:16:44) EntityRuler
⌨️ (1:35:44) Matcher
⌨️ (2:09:38) Custom Components
⌨️ (2:16:46) RegEx (Basics)
⌨️ (2:19:59) RegEx (Multi-Word Tokens)
⌨️ (2:38:23) Applied SpaCy Financial NER
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Calculating embeddings with gtr-t5-large in Python
I've long wanted to run some kind of large language model on my own computer. Now that I have a M2 MacBook Pro I'm even more keen to find interesting ways to keep all of those CPU cores busy.
I got a
Chat GPT - Pass Detection 100% Human Written With This Prompt
Chat GPT - Pass Detection 100 Human Written With This Prompt
How To Write Ebooks With Chat GPT + Drag And Drop Designer
PROMPT SHOWN IN VIDEO:
"When it comes to writing content, two factors are crucial, "perplexity" and "burstiness." Perplexity measures the complexity of text. Separately, burstiness compares the variations of sentences. Humans tend to write with greater burstiness, for example, with some longer or complex sentences alongside shorter ones. AI sentences tend to be more uniform. Therefore, when writing the following content I am going to ask you to create, I need it to have a good amount of perplexity and burstiness. Do you understand?"
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In this tutorial, learn how to use specific prompts to get AI tools like ChatGPT to generate 100% human-like content. Discover the secrets to creating natural language and fooling even the most advanced AI algorithms. Get ready to take your chatbot game to the next level! Watch now.
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debanjum/khoj: Natural Language Search Engine for your Org-Mode and Markdown notes, Beancount transactions and Photos
Natural Language Search Engine for your Org-Mode and Markdown notes, Beancount transactions and Photos - debanjum/khoj: Natural Language Search Engine for your Org-Mode and Markdown notes, Beancoun...
Best AI Research Assistant: CoPilot from SciSpace || Using AI to summarize Research Articles
You can use CoPilot from SciSpace as your research assistant to summarize research articles, find an article's limitations, ask specific research questions, and explain journal articles.
Get the 30-day Research Jumpstart Guide: https://www.sciencegradschoolcoach.com/30day-research-guide
Check Out SciSpace Co-Pilot: https://typeset.io/
Watch More:
Organize Research Article Summaries: https://youtu.be/Qw6PdEVSU5c
Summarize Research Articles with Scholarcy: https://youtu.be/Qw6PdEVSU5c
Summarize Research Articles with Paper Digest: https://youtu.be/0dZ5hv8jpnQ
In this video, I will walk you through how to use SciSpace and their new AI research assistant copilot. You can find research articles through their search bar or upload pdfs to their site. Then, we jump into CoPilot which is an AI research assistant and honestly one of the best that I have seen!
CoPilot can share research article summaries, research article limitations, what is unique about this article, and the key takeaways of this article. Then, you can ask specific questions like if you do not know what a word in a research article is.
Finally, CoPilot can explain research articles to you in plain English which is a massive game changer.
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Timecodes
00:00 How to use SciSpace CoPilot
00:40 Searching for research articles
01:54 Upload Research Articles in SciSpace
02:38 SciSpace Co-Pilot
03:19 Summarizing Research Articles
04:30 What is unique about this paper?
04:58 Finding a Research Articles Conclusions
05:04 Research Articles Limitations
06:41 Research Article Specific Questions
08:43 Explaining a Research Article
kensho-technologies/kwnlp-preprocessor: Download, parse, and convert raw Wikimedia data into standard formats.
Download, parse, and convert raw Wikimedia data into standard formats. - kensho-technologies/kwnlp-preprocessor: Download, parse, and convert raw Wikimedia data into standard formats.
ChatterBot: Build a Chatbot With Python – Real Python
Chatbots can help to provide real-time customer support and are a valuable asset in many industries. When you understand the basics of the ChatterBot library, you can build and train a self-learning chatbot with just a few lines of Python code.
In this blog, we’d love to talk about the different approaches to developing a mental chatbot. Read on to learn how to create a therapeutic bot that could really help your patients instead of telling them to kill themselves (more on that below). We’ll discuss some of the best practices and various tools at your […]
Build a Virtual Assistant Using Python - GeeksforGeeks
A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
Wizard of Wikipedia is a large dataset with conversations directly grounded with knowledge retrieved from Wikipedia. It is used to train and evaluate dialogue systems for knowledgeable open dialogue with clear grounding