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Built-In AI Web APIs Will Enable A New Generation Of AI Startups
Author(s): Lorenzo Zarantonello Originally published on Towards AI. Built-in AI will allow websites to run various AI tasks on-device — Google built-in AI concept for the browser. AI models are getting bigger and better by the day. Asking what the “best” frontier …
Auditing Predictive A.I. Models for Bias and Fairness
Author(s): Eera Bhatt Originally published on Towards AI. Recently, two authors published a paper with guidance for conducting audits on predictive A.I. models to improve their ethics. In our case, an audit is an inspection of a predictive model just to evaluate …
Why is Llama 3.1 Such a Big deal?
Author(s): Louis-François Bouchard Originally published on Towards AI. 10 (+1) questions managers and leaders should know about Llama 3.1 Note: this post was written by 3 ML & AI engineers behind the High Learning Rate newsletter. Good morning everyone! As you probably …
Why is Llama 3.1 Such a Big deal?
Author(s): Louis-François Bouchard Originally published on Towards AI. 10 (+1) questions managers and leaders should know about Llama 3.1 Note: this post was written by 3 ML & AI engineers behind the High Learning Rate newsletter. Good morning everyone! As you probably …
#33 Is LoRA the Right Alternative to Full Fine-Tuning?
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! We are trying something new in this issue and focusing on deeper discussions on LLM essentials like prompting, LoRA, vector search, and more. I also shared a bunch …
Top 5 OpenAI API Alternatives Everyone Should Know About
Author(s): Artem Shelamanov Originally published on Towards AI. We all know how easy it is to use OpenAI API. You get your API key, pip-install openai library, write 5 lines of code and you’re done. But after some time, you encounter these …
Improving RAG Answer Quality Through Complex Reasoning
Author(s): Sachin Khandewal Originally published on Towards AI. TLDR; In this article, we will explain multi-hop retrieval and how it can be leveraged to build RAG systems that require complex reasoning We will showcase the technique by building a Q&A chatbot in …
Low-cost, Low-latency, Customizable Chatbots for Your Websites and Web Apps Using GPT-4o mini
Author(s): LucianoSphere (Luciano Abriata, PhD) Originally published on Towards AI. Spend fractions of cents per user interaction and make them fast and efficient, providing a fluent experience Look at the following conversation. It’s me trying out my website’s chatbot after upgrading it …
RouteLLM: How I Route to The Best Model to Cut API Costs
Author(s): Gao Dalie (高達烈) Originally published on Towards AI. large language models have shown amazing capabilities in a variety of tasks, but there is a big difference in their cost and capabilities. Claude 3 Opus, GPT-4, and others are high in performance, …
TAI #109: Cost and Capability Leaders Switching Places With GPT-4o Mini and LLama 3.1?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This was another huge week for foundation LLMs, with the release of GPT-4o mini, the leak of LLama 3.1 model scorecards, new models from …
The Mathematics of Small Things: On Grokking and The Double Descent Phenomenon
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Robert Thiemann on Unsplash The Conundrum — To Overfit or Generalize? So here’s the thing when training a model — you are often advised never to overfit. Somehow it makes sense because …
Inside NuminaMath: The AI Model that Took The First Place In the AI Math Olympiad
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Ideogram I recently started an AI-focused educational newsletter, that already has over 170,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
Reinforcement Learning: Introducing Deep Q* Networks — Part 6
Author(s): Tan Pengshi Alvin Originally published on Towards AI. An adjusted framework combining Deep Q-Networks with a trainable exploration heuristic and supervisionPhoto by Chantal & Ole on Unsplash You may have heard of Project Q*, a leaked idea from OpenAI in the …
Generative AI Foundations: Training a Vanilla GAN for Fashion
Author(s): Amit Kharel Originally published on Towards AI. Photo by Mateusz Wacławek on Unsplash GAN learning to generate Images [By Author] (Not a member? Read the article for free.) Let’s step back and take a break from the over-hype of LLMs/Transformers and …
Fine-Tuning LLMs with Synthetic Data for High-Quality Content Generation
Author(s): Vin Busquet Originally published on Towards AI. Evaluation data analysis featured in this article. (Photo of the author’s monitor) Table of Contents · Table of Contents· The POC Trek Begins· Fine-Tuning VS RAG ∘ What is fine-tuning? ∘ So, what is …
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