AI/ML

Did you know 40% of search results are ads? Created by ex-Google execs, Neeva only shows you real results. No ads or affiliate links ever.

Challenger search engine Neeva is bringing its generative AI search engine to international markets as the ChatGPT hype continues.

ChatGPT is a revolutionary tool. Kind of like Alta Vista was when the web first came out.

By asking "Sydney" to ignore previous instructions, it reveals its original directives.

University of Basel/ Fall Semester 2022/ Fridays 12:15-14:00 @ Spiegelgasse 5, 05.002

And I recorded it. Here's "Sailor's Song."

GPT3 & Beyond: Key concepts and open questions in a golden age for natural language understandingListen in as Professor Christopher Potts discusses the signi...

consistency is key!, Forcing mid-journey to recognize the need for consistent characters.

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

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…

Generative Tensorial Reinforcement Learning (GENTRL) model - insilicomedicine/GENTRL: Generative Tensorial Reinforcement Learning (GENTRL) model

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...

Q&A platform Quora has opened up public access to its new AI chatbot app, Poe.

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 🤖 70% Discount on the NLP With Transformers in Python course: https://bit.ly/nlp-transformers 🎨 AI Art: https://intelligentart.co 🎉 Subscribe for Article and Video Updates! https://jamescalam.medium.com/subscribe https://medium.com/@jamescalam/membership 👾 Discord: https://discord.gg/c5QtDB9RAP 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. Big thanks to Brilliant for sponsoring this video! Get started with a 20% discount using this link: https://brilliant.org/davidbombal 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/ // Mike SOCIAL // Twitter: https://twitter.com/_mikepound YouTube: https://www.youtube.com/user/Computerphile Website: https://www.nottingham.ac.uk/research/beacons-of-excellence/future-food/meet-the-team/michael-pound/index.aspx // David SOCIAL // Discord: https://discord.com/invite/usKSyzb Twitter: https://www.twitter.com/davidbombal Instagram: https://www.instagram.com/davidbombal LinkedIn: https://www.linkedin.com/in/davidbombal Facebook: https://www.facebook.com/davidbombal.co TikTok: http://tiktok.com/@davidbombal YouTube: https://www.youtube.com/davidbombal // MY STUFF // https://www.amazon.com/shop/davidbombal // SPONSORS // Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com chatgpt chatgpt hype chatgpt reality chatgpt truth ai chatgpt c chatgpt python chatgpt hak5 chatgpt rubber ducky chatgpt cisco python android samsung linux kali linux rubber ducky hak5 omg cable lamda neural network machine learning deep learning sentient google ai mike pound michael pound dr michael pound computerphile artificial intelligence google ai sentient google ai lamda google ai sentient conversation google ai alive ai jobs Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel! #chatgpt #computerphile #ai

Generative deep learning is accelerating de novo drug design, by allowing the generation of molecules with desired properties on demand. Chemical lang…

The case is the first time a court has admitted to using the AI text generator’s answers in a legal ruling.

4chan members used ElevenLabs to make deepfake voices of Emma Watson, Joe Rogan, and others saying racist, transphobic, and violent things.

What is Machine Learning → http://ibm.biz/machine-learning-is-simple What is Deep Learning → http://ibm.biz/Get-deep-with-deep-learning Get a unique perspective on what the difference is between Machine Learning and Deep Learning - explained and illustrated in a delicious analogy of ordering pizza by IBMer and Master Inventor, Martin Keen. Download a free AI ebook → http://ibm.biz/Get-my-ebook Get started for free on IBM Cloud → http://ibm.biz/Get-on-IBM-cloud-now Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now #AI #Software #ITModernization #DeepLearning #MachineLearning

There are a few key differentiators between AI-generated text and human-written text. But this one could teach humans a thing or two.

DeepMind has found the secret to cheaply scale large language models.

ChatSonic - An AI-powered platform, like ChatGPT but with superpowers. Get ready to autopilot your content creation process. Join the ChatGPT revolution.

RAVEN (Realtime Assistant Voice Enabled Network) Open Source Software (OSS) community repo - daveshap/raven: RAVEN (Realtime Assistant Voice Enabled Network) Open Source Software (OSS) community repo

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 🎉 Thanks to our Champion and Sponsor supporters: 👾 Wong Voon jinq 👾 hexploitation 👾 Katia Moran 👾 BlckPhantom 👾 Nick Raker 👾 Otis Morgan 👾 DeezMaster 👾 AppWrite -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

RAVEN: https://github.com/daveshap/raven Patreon: https://www.patreon.com/daveshap GitHub: https://github.com/daveshap LinkedIn: https://www.linkedin.com/in/dshap-automator/ Twitter: https://twitter.com/dshap_automator Homepage: https://www.davidkshapiro.com/ All opinions expressed are my own. My content is not: legal advice, medical advice, or financial advice.

It all comes down to the images AI is learning from.

While it's great that we're now seeing papers describing the experimental validation of generative algorithms for molecular design, we need ...

Compression Techniques and Product Quantization on FAISS