Author(s): Nimit Bhardwaj Originally published on Towards AI. AI and Deepfakes in the Courtroom Image generated by DALL·E From seamlessly swapping audio/visual elements to fabricating entirely false material, the impact of deepfakes on public trust and society looms large, especially in the wake of the 2016 political events like Trump’s presidency in the US and Brexit in the UK[1]. Once considered a distant threat, deepfakes have now come to pose genuine, immediate dangers, with advancements like OpenAI’s Sora pushing the boundaries of deception. Deepfakes — a combination of ‘deep learning’ an ..read more

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! After a much-needed break last week, we are back with exciting collaboration opportunities, some of our best articles written by AI experts worldwide, and fun discussions on our AI polls. Hope you enjoy the read! What’s AI Weekly This week in What’s AI, I dive into Mistral’s Mixture of Experts model. First things first, what you know about Mixture of Experts is wrong. We are not using this technique because each model is an expert on a specific topic. In fact, each of these so-called experts ..read more

Author(s): Andy Spezzatti Originally published on Towards AI. Beyond Words: LLMs Enhance Data Analysis from Genomics to StrategySource: Image by Nicole Herero on Unsplash Over the past two years, Large Language Models (LLMs) including ChatGPT, Antropic, and Mistral have transformed our engagement with technology. These models have become central across a range of fields, from boosting productivity to fostering innovation in sectors not traditionally linked with language processing. This analysis examines the contributions of LLMs to diverse areas such as time series prediction, genomics, recom ..read more

Author(s): Ignacio de Gregorio Originally published on Towards AI. The Creators of RAG Present its Successor Looking at the AI industry, we have grown accustomed to seeing stuff get ‘killed’ every single day. I myself cringe sometimes when I have to talk about the 23923th time something gets ‘killed’ out of the blue. But rarely the case is as compelling as what Contextual.ai has proposed with Contextual Language Models (CLMs), in what they call “RAG 2.0”, to make standard Retrieval Augmented Generation (RAG), one of the most popular ways (if not the most) of implementing Generative AI models ..read more

Author(s): Louis-François Bouchard Originally published on Towards AI. Mixtral 8x7B explained Originally published on louisbouchard.ai, read it 2 days before on my blog! https://www.youtube.com/embed/OqlNmNylE0I What you know about is wrong. We are not using this technique because each model is an expert on a specific topic. In fact, each of these so-called experts is not an individual model but something much simpler. Thanks to Jensen, we can now assume that the rumour of GPT-4 having 1.8 trillion parameters is true… 1.8 trillion is 1,800 billion, which is 1.8 million million. If we could fin ..read more

Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. I experimented with CodeGemma. Here are my results What codeGemma is supposed to be, according to Google — CodeGEMMA represents a significant advancement in the realm of code generation and completion, stemming from Google’s broader Gemma model family. As a fine-tuned version of the Gemma-7b model, CodeGEMMA incorporates an additional 0.7 billion high-quality, code-related tokens, offering a powerful tool for developers and researchers. This article delves into the technical intricacies, applications, and potential of Code ..read more

Author(s): Ahmed Fessi Originally published on Towards AI. In November 2023, almost one year after ChatGPT 3 was released, OpenAI announced GPTs, allowing users to create and publish their own conversational chatbots, customized as per their instructions, and have them available in the OpenAI marketplace. GPTs allow you to increase your productivity even more. If you have been a user of ChatGPT, you might have already identified a long list of use cases that help you in your day-to-day activities : it can be optimizing your tweets, helping brainstorm article ideas, generating variations of a s ..read more

Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie For the past few weeks, we have been following an increased pace of voice and music AI model releases. In particular, Suno AI’s v3 music generation model was released two weeks ago and has gained momentum this week, with some referring to it as the “Chatgpt” moment of generative music. Suno can make full two-minute songs from the prompt, with lyrics in any genre, in many languages, and with many accents. Some of the results are very impressive — here’s a fun one we asked it to make t ..read more

Author(s): Ignacio de Gregorio Originally published on Towards AI. Toward a Subquadratic Future For almost six years, nothing has beaten the Transformer, the heart of all Generative AI models. However, due to its excessive costs, many have tried to dethrone it, to no avail. But we can finally hear the winds of change. Not to substitute the Transformer, but to create hybrids, a new generation of Large Language Models that offer the best of both worlds, ultra performance with high efficiency. And we finally have our very first production-grade model, Jamba. This insight and others have mostly be ..read more

Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using DALL-E 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. The goal is to keep you up to date with machine learning projects, research papers, and concepts. Please give it a try by subscribing below: TheSequence U+007C Jesus Rodriguez U+007C Substack The best source to stay up-to-date with the developments in the machine learning, artificial intelligence, and data ..read more