This AI newsletter is all you need #54
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we were excited to read Demis Hassabis discussing Deepmindβs upcoming new Gemini Large Language model. Historically DeepMind has primarily dedicated its efforts …
The Complete Guide to Data Preprocessing (Part 2)
Author(s): Dr. Roi Yehoshua Originally published on Towards AI. Loading the Data Set In the first part of this article, we described the data preprocessing process and showed how to handle missing values, categorical data, outliers and skewed data. In this part …
Inside Parsel: Stanford Universityβs New Framework for Hierarchical Reasoning
Author(s): Jesus Rodriguez Originally published on Towards AI. The model shows incredible performance across diverse tasks such as code evaluation or robotic task planning. I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a no-BS (meaning …
How Do 8 Smaller Models in GPT4 Work?
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. The secret βModel of Expertsβ is out; let's understand why GPT4 is so good! In recent years, deep learning models have been all the buzz. Every company is developing it. And …
Freezing Layers of a Deep Learning Model β the proper way
Author(s): Alexey Kravets Originally published on Towards AI. ADAM optimizer example in PyTorch Jason Mitrione on unsplash Introduction It is often useful to freeze some of the parameters for example when you are fine-tuning your model and want to freeze some layers …
Meet LLM-AUGMENTER: Microsoft Researchβs Architecture to Augment LLMs with Memory, Knowledge, and External Feedback
Author(s): Jesus Rodriguez Originally published on Towards AI. The new framework can serve as a reference to production-ready LLM solutions. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a no-BS (meaning no …
How I Won at Italian Fantasy Football ⚽ Using Machine Learning
Author(s): Giuseppe Musicco Originally published on Towards AI. Image by Dall-E. How I Won at Italian Fantasy Football U+26BD Using Machine Learning Cracking the code of Fantacalcio through the power of AI As a mechanical engineer with a keen interest in programming …
Attacking Large Language Models: LLMOps and Security
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Assessing Vulnerabilities and Mitigating Risks in Internal Language Model Deployments Image by Author with @MidJourney In the realm of AI security, the spotliΝght often fallΝs on the prominentΝ facade β theΝ prompt. It …
Googleβs Deblur AI: Sharpify your Images
Author(s): Muhammad Arham Originally published on Towards AI. Say goodbye to blurry images. Googleβs new technique unlocks the true potential of your phoneβs camera. Image by Author Introduction In our ever-evolving digital age, where capturing and sharing moments through photography has become …
This AI newsletter is all you need #55
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we were excited to finally get to test Open AIβs Code Interpreter, a new capability of GPT-4 within ChatGPT. OpenAI was also …
Do LLMs Need All Those Layers to Achieve In-Context Learning?
Author(s): Jesus Rodriguez Originally published on Towards AI. A recent paper from Amazon Science sheds some light on one of the most important questions regarding LLs. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. …
I Showed ChatGPT Code Interpreter a Messy Dataset and the Desired Cleaned Version
Author(s): Soner YΔ±ldΔ±rΔ±m Originally published on Towards AI. And sat down to watch how it got me the data I wanted. Photo by JESHOOTS.COM on Unsplash When I look at a raw and messy dataset, my first reaction usually is βI wish …
HuggingFace Transformers Tools and Agents: Hands-On
Author(s): Darya Petrashka Originally published on Towards AI. Learn more Transformers version v4.29.0, building on the concept of tools and agents, provides a natural language API on top of transformers. How to use them? Letβs dive into them having language learning as …
From DeepMind to Startup Success: A Journey into the AI Frontier with Aleksa GordiΔ
Author(s): Louis Bouchard Originally published on Towards AI. Aleksa GordiΔ β The Whatβs AI Podcast Episode 18 In this exciting podcast episode, I had the opportunity to interview Aleksa GordiΔ, a former research engineer at DeepMind who ventured into creating his own …
Towards a God-level AI from a Dog-level AI
Author(s): Shunyu (Andy) Tang Originally published on Towards AI. Understanding what AI can do, what it canβt, why, and how. Photo by BoliviaInteligente on Unsplash When I started learning Artificial Intelligence (AI), I often see such an illustration (Fig. 1) that described …
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