Penelope.ai is an online tool that automatically checks whether scientific manuscripts meet journal requirements. It helps editors process manuscripts faster and helps authors polish their work before submitting to a journal.
This is a fantastic piece by writer Ted Chiang about large-language models like ChatGPT. He likens them to lossy compression algorithms: What I've described sounds a lot like ChatGPT, or most any other large-language mo
Automating podcast transcripts on my Mac with OpenAI Whisper
A little section of Upgrade 444 in David Smith’s original Podsearch engine. A while ago, David Smith created a site called Podsearch, a search engine for a few of his favorite podcasts, inclu…
Reinventing search with a new AI-powered Microsoft Bing and Edge, your copilot for the web - The Official Microsoft Blog
To empower people to unlock the joy of discovery, feel the wonder of creation and better harness the world’s knowledge, today we’re improving how the world benefits from the web by reinventing the tools billions of people use every day, the search engine and the browser. Today, we’re launching an all new, AI-powered Bing search...
Getting Started with GPT-3 vs. Open Source LLMs - LangChain #1
LangChain is a popular framework that allows users to quickly build apps and pipelines around Large Language Models. It integrates directly with OpenAI's GPT-3 and GPT-3.5 models and Hugging Face's open-source alternatives like Google's flan-t5 models.
It can be used to for chatbots, Generative Question-Anwering (GQA), summarization, and much more.
The core idea of the library is that we can "chain" together different components to create more advanced use cases around LLMs. Chains may consist of multiple components from several modules. We'll explore all of this in these videos.
🌲 Article:
https://www.pinecone.io/learn/langchain-intro/
📌 Colab notebook:
https://colab.research.google.com/github/pinecone-io/examples/blob/master/generation/langchain/handbook/00-langchain-intro.ipynb
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00:00 Getting LangChain
01:14 Four Components of LangChain
06:43 Using Hugging Face and OpenAI LLMs in LangChain
07:13 LangChain Hugging Face LLM
13:51 OpenAI LLMs in LangChain
18:58 Final results from GPT-3
ChatGPT and AI mastery - how to get started in AI.
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How do you capitalize on this trend and learn AI? Dr Mike Pound of Computerphile fame tells us how to ride this wave. If you are into cybersecurity or any other tech field, you probably want to learn about AI and ML. They can really help your resume and help you increase the $$$ you earn.
AI just become Sentient? And will it take your job? Or is AI just a fantastic opportunity for you to get a better job? In this interview with Dr Michael Pound we discuss hype vs reality and get a quick start guide on how to learn AI.
// MENU //
00:00 - Coming up
00:40 - Sponsored segment
02:28 - A.I. Hype // Should we be worried?
03:37 - Amazing but flawed
08:07 - Is it worth it getting into CompSci?
10:02 - Knowing A.I. makes you valuable // Learn A.I.
13:43 - Resources for learning A.I.
15:58 - Should you get into CompSci?
17:35 - Enhancing your career with A.I.
20:16 - The limits of A.I.
24:57 - A.I in academics // How A.I. affects academic work
31:02 - Conclusion
// Previous Videos //
I challenged ChatGPT to code and hack: https://youtu.be/Fw5ybNwwSbg
The truth about AI and why you should learn it - Computerphile explains: https://youtu.be/PH9RQ6Yx75c
// BOOK //
Deep learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville: https://amzn.to/3vmu4LP
// Courses and tutorials //
AI For Everyone by Andrew Ng: https://www.coursera.org/learn/ai-for-everyone
PyTorch Tutorial From Research to Production:
https://www.infoq.com/presentations/pytorch-torchscript-botorch/
Scikit-learn Machine Learning in Python:
https://scikit-learn.org/stable/
// PyTorch //
Github: https://github.com/pytorch
Website: https://pytorch.org/
Documentation: https://ai.facebook.com/tools/pytorch/
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Chemical language models for de novo drug design: Challenges and opportunities
Generative deep learning is accelerating de novo drug design, by allowing the generation of molecules with desired properties on demand. Chemical lang…
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ChatSonic - An AI-powered platform, like ChatGPT but with superpowers. Get ready to autopilot your content creation process. Join the ChatGPT revolution.
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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