Explainable AI: GradCAM
Author(s): Shubham Bhandari Originally published on Towards AI. Photo by Neeqolah Creative Works on Unsplash With the recent advancements in AI, we are witnessing the emergence of some of the most sophisticated AI systems that have ever existed. Propelled by the wave …
The Transformer Architecture From a Top View
Author(s): Dimitris Effrosynidis Originally published on Towards AI. Exploring the encoder-decoder magic in NLP behind LLMsImage created by the author. The state-of-the-art Natural Language Processing (NLP) models used to be Recurrent Neural Networks (RNN) among others. And then came Transformers. Transformer architecture …
The LLM Series #3: Multiple Function Calling: Taking OpenAI Models to the Next Level
Author(s): Muhammad Saad Uddin Originally published on Towards AI. Image by Author via Dall-E Welcome to the third article of this LLM Series, where weβre stoking the flames of innovation with OpenAI models U+1F525U+1F525. In this edition, weβll be exploring multiple-function calling, …
This AI newsletter is all you need #87
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie Last week saw the two debatably largest model updates since GPT-4 revealed within three hours of each other: OpenAIβs Sora text-to-video model and Deepmindβs …
How Good is Google Gemini 1.5 With a Massive 1 Million Context Window?
Author(s): Dipanjan (DJ) Sarkar Originally published on Towards AI. Created by Author with DALL-E Introduction Artificial Intelligence, and particularly Generative AI, is evolving at a rapid pace; every other week, we hear a new Large Language Model (LLM) being released! Google has …
Inside OpenAI Sora: Five Key Technical Details We Learned About the Amazing Video Generation Model
Author(s): Jesus Rodriguez Originally published on Towards AI. Image Credit: OpenAI I recently started an AI-focused educational newsletter, that already has over 165,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
Prompt Engineering Best Practices: Iterative Prompt Development
Author(s): Youssef Hosni Originally published on Towards AI. When you build applications with large language models, it is difficult to come up with a prompt that you will end up using in the final application on your first attempt. However as long …
Coding is Like Cooking; ChatGPT for Coding is Like Kindle for Cooking!
Author(s): Christopher Tao Originally published on Towards AI. Why we should use ChatGPT for coding without worrying about ethical and legal issues?Image generated by Dall-E-2 (usable for all legal purposes, including commercial use, as detailed at https://openai.com/policies/terms-of-use as of November 14th, 2023). …
We Will Never Achieve AGI
Author(s): Pawel Rzeszucinski, PhD Originally published on Towards AI. The AI Effect impacts the debate about AGI (Source: DALL-E) Some say artificial general intelligence (AGI) is already here. Others say it will take years or decades to arrive, maybe even centuries. I …
Exploring the Frontier of AI: Large World Models (LWM) and the Revolution in Language and Video Understanding
Author(s): ElNiak Originally published on Towards AI. Dive into the breakthroughs of Large World Models (LWM), where AI transcends traditional boundaries by integrating video and language, potentially inspiring the next-gen Gemini 1.5 with million-token contexts Free version here Letβs switch gears to …
Deploy Machine Learning Models Using the Power of Streamlit!
Author(s): Eashan Mahajan Originally published on Towards AI. Photo by Kevin Ku on Unsplash With machine learning continuing to dominate the technology landscape, people have eagerly jumped on the hype train and dived deep into the vast realm. As datasets have popped …
Can Machine Learning Outperform Statistical Models for Time Series Forecasting?
Author(s): Satyajit Chaudhuri Originally published on Towards AI. The role of Time Series Forecasting is very important in areas like finance, manufacturing, health, weather studies, and social sciences. TheseΒ fields rely on these predictions to guess future needs and sale numbers. This …
Build Your Own RLHF LLM β Forget Human Labelers!
Author(s): Tim Cvetko Originally published on Towards AI. You know, that thing OpenAI used to make GPT3.5 into ChatGPT? You can do the same without asking strangers to rank statements. I would never have put my finger that the next big revolution …
Evaluating LLM Summaries using Embedding Distance with LangSmith.
Author(s): Pere Martra Originally published on Towards AI. LangSmith is the new tool from LangChain for tracing and evaluating models. In this article, we will explore how to use it to assist in assessing the quality of summaries produced by two open-source …
Do Not Create That New Report!
Author(s): Deepak Chopra | Talking Data Science Originally published on Towards AI. Embracing a focused reporting approach in the data-driven era to overcome the pitfalls of excessive reporting and enable efficient and effective decision-making.Photo by Fey Marin on Unsplash In the contemporary …