This AI newsletter is all you need #32
Last Updated on February 15, 2023 by Editorial Team
Author(s): Towards AI Editorial Team
Originally published on Towards AI.
What happened this week in AI by Louis
Following recent advancements in image, code, and text generation, there have been new developments in AI-generated music and text-to-speech. In 2019, everyone was already impressed with OpenAI’s Musenet, built on GPT-2 techniques applied to MIDI files. However, with recent advancements in AI, much more flexible and comprehensive music models are now possible. This week, AI has noted several interesting AI-generated music and text-to-speech models, including MusicLM, a model announced by Google Research that generates high-fidelity music from rich text descriptions. Although the model isn’t released yet, dataset MusicCaps, consisting of 5.5k human-written music-text pairs, is available. The paper “Make-An-Audio” was also released this week, describing Text-To-Audio Generation with Prompt-Enhanced Diffusion Models.
We expect to see a wave of AI music startups and open-source models released going forward, especially as annotated music data sets become accessible. We hope progress in AI music models can benefit musicians exploring new concepts and lower the cost and obstacles for new musicians entering the industry.
Besides new music models this week, we also discovered an impressive and flexible text-to-audio model from elevenlabs. Excited about the potential of such models to increase accessibility of written content, we also see growing risks in text-to-audio, including voice cloning for fake quotes and voice-protected logins and verifications.
Hottest News
Recently, there has been much discussion about the potential of OpenAI’s ChatGPT program for generating natural language responses to human prompts. However, AI scholars have a different view. During a Zoom meeting with press and executives last week, Yann LeCun, the Chief AI Scientist at Meta, stated, “In terms of underlying techniques, ChatGPT is not particularly innovative.”
Sam Altman believes that the future of AI could be exceptional — unless things go astray. It is important to know the story of OpenAI’s ChatGPT chatbot, which has been used for activities such as debugging code, writing recipes, scripts, and more, and how it has sparked a revolution.
3. AI adoption: is it obvious yet?
Regardless of one’s opinion of ChatGPT, its release last year generated another buzz in the AI community. Its launch likely did more to promote the value of machine learning to non-experts than any other event. It is crucial to assess if we are ready for AI adoption in terms of technological and product maturity and to comprehend the excitement surrounding AI and the arguments for and against incorporating it into products.
AI21 Labs, a research lab specializing in NLP and generative AI, announced the launch of Wordtune Spices, a new feature for its popular Wordtune editing platform, to enhance the writing experience for writers of all types. Wordtune Spices is an AI-powered writing tool that comprehends content and meaning to assist users in expressing their ideas more effectively and compellingly.
In this podcast, Reid Hoffman speaks with ChatGPT about the partnership between humans and AI. He delves into the unique ways in which AI can enhance human capabilities as part of a miniseries focused on the future of AI and chatbots.
Three 5-minute reads/videos to keep you learning
1.A Brief History of Artificial Intelligence
This article explores the rich history and evolution of AI, from its early origins to the current ethical debates surrounding its development. The article traces the journey of AI, starting with its first concepts and leading to the seminal conference organized by Allen Newell, Cliff Shaw, and Herbert Simon, which marked the beginning of its proof of concept. The article provides insight into the past, present, and future of AI.
2. Introduction to embeddings — The bread and butter of language models
Word and sentence embeddings are the backbones of language models. This Twitter thread by Cohere offers a clear and simple introduction to these essential concepts, including examples, applications, and additional resources. It also explains how embeddings work and how they can be used in language models.
3. Getting started with LLMs using LangChain
Recently, there has been a surge of interest in generative AI and language models (LLMs). This article introduces LangChain, a library that enables the creation of advanced applications around LLMs such as OpenAI’s GPT-3 models and the open-source alternatives provided by Hugging Face. It begins with a discussion on the simplest component offered by LangChain.
4. Five pieces of advice for those building in AI right now
In this Twitter thread, Nathan shares his thoughts on the process of building products. Some advice he shares in his thread: avoiding generalizations, recognizing that AI is not a unique advantage, treating AI-powered products as more than just “wrappers”, disregarding hype, and acknowledging that AI-powered applications are not primarily focused on AI.
5. Manipulating Tensors in PyTorch
PyTorch is a deep-learning library that operates on numerical arrays known as tensors. This article provides a brief overview of what PyTorch offers for tensors and how to use them. It gives insight into how to create and perform operations on PyTorch tensors and the common functions available in PyTorch for manipulating tensors.
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The Learn AI Together Community section!
Upcoming Community Events
The Learn AI Together Discord community hosts weekly AI seminars to help the community learn from industry experts, ask questions, and get a deeper insight into the latest research in AI. Join us for free, interactive video sessions hosted live on Discord weekly by attending our upcoming events.
1.Convolution Networks: The Neural Network Architecture Seminar (#4)
This is the fourth session of a (free) nine-part series on Neural Networks Architectures presented by Pablo Duboue (DrDub), covering Convolution Networks. The session focus on CNNs, DL image processing, YOLO, U-Net, Retina-Net, and SpineNet. Find the link to the seminar here or add it to your calendar here.
Date & Time: 1st February, 11 pm EST
If you missed the first part of the series, find last week’s event recordings here.
Learn AI Together’s weekly reading group offers informative presentations and discussions on the latest developments in AI. It is a great (free) event to learn, ask questions, and interact with community members.
This week’s focus is on transformers. We will dive into the background of transformers and why they came to life, explain the different components making the transformer architecture, and its applications. Join the upcoming reading group discussion here.
Date & Time: 4th February, 6 pm EST
If you missed the last session, find last week’s event recordings here.
Add our Google calendar to see all our free AI events!
3. Tutorial: Build your own GPT-based Chatbot
This Livestream event will be an exciting coding experience, hosted by Jeremy Pinto (@jerpint). Stay tuned for more information and details.
The dates are susceptible to change. Follow the event to be notified!
Date & Time: 4th February, 10 pm EST
4. Towards AI x Whitebox Kaggle competition
Towards AI has partnered with a new FinTech startup, Whitebox, by Arav Kumar, a member of our community, to host an event where you can display your AI talent. In this upcoming Kaggle competition, you’ll be able to enter your best stock trading strategies and our constituents will help you fund it.
If you’re interested, please sign up here and we’ll reach out to you via email shortly. The competition will be hosted from February 1st — 8th on Kaggle and the winners can opt-in to having their strategy connected to the Alpaca API and funded! Attend Whitebox’s Q&A live stream on our discord this weekend to learn more about the competition! Ask your questions in our form.
Date & Time: 28th January, 6 pm EST
Meme of the week!
Meme shared by neuralink#7014
Featured Community post from the Discord
Lencebo#2394 has created a comprehensive AI directory with the latest AI tools available on the market. The directory allows you to easily find the right tool for your specific needs and features a range of filters, such as price, availability of a free trial or plan, and monthly credits. The website also offers valuable reviews, guides, and tutorials on how to effectively use each AI tool. Check out the directory here and support a fellow community member! You can also share your feedback and ideas in the thread here.
AI poll of the week!
Join the discussion on Discord.
TAI Curated section
Article of the week
Trends in AI — 2023 Round-up by Sergi Castella i Sapé
The breakthrough of the year was undoubtedly OpenAI’s ChatGPT, solidifying OpenAI’s status as a global leader in the language model as a service. As we’ll observe, this may have far-reaching impacts throughout 2023 in the technology sector, as Microsoft — with a strong partnership with OpenAI — is likely to utilize it to enhance their mainstream products, such as Bing and Office. In this article, discover exciting advancements in language models, reinforcement learning, computer vision, and leading AI companies like OpenAI and Google.
Our must-read articles
This Is the Model That Will Power Google’s Alternative To ChatGPT by Jesus Rodriguez
Are My Clusters Correct? Methods for Unsupervised Evaluation of Clustering by Konstantinos Poulinakis
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This AI newsletter is all you need #32 was originally published in Towards AI on Medium, where people are continuing the conversation by highlighting and responding to this story.
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