Learn AI Together — Towards AI Community Newsletter #17
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we dive into the industry-specific dimension of AI, starting with AI’s impact on education and further with our poll on AI’s use in SMEs. Read along …
VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Google’s desperate attempt to showcase “something” The research initiative led by Enric Corona, Andrei Zanfir, Eduard Gabriel Bazavan, Nikos Kolotouros, Thiemo Alldieck, and Cristian Sminchisescu at Google Research introduces an innovative …
The Reality of AI’s Limits: Computational Boundaries of Neural Networks
Author(s): Matej Hladky Originally published on Towards AI. As we navigate through an era where Artificial Intelligence (AI) breakthroughs happen almost daily, it might seem there’s no limit to what AI can do. Is there a ceiling to the current direction of …
Why RAG Applications Fail in Production
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. It worked as a prototype; then all went down! Retrieval-Augmented Generation (RAG) applications have emerged as powerful tools in the landscape of Large Language Models (LLMs), enhancing their capabilities by integrating …
Researchers vs Practitioners
Author(s): Enos Jeba Originally published on Towards AI. Computer Vision began with research. We still have research going on but at the same time, some research is mature enough to be implemented into real-world applications. This also does not mean that research …
This AI newsletter is all you need #91
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, we had a broad range of AI developments, from a new LLM software developer agent (Devin) to new open-source models (such as …
Genetic Algorithm: A Quick Glance
Author(s): Abhijith S Babu Originally published on Towards AI. Science and technology have made rapid progress in the recent past. Humans are always in pursuit of answers to everything, and this led to a lot of innovative breakthroughs, ranging from remedies for …
Revolutionizing Large-Scale Deep Learning with Microsoft DeepSpeed
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Microsoft democratizes and standardizes at-scale LLM training No, not the hydroget! I am not that cool…. DeepSpeed, developed by Microsoft, is a deep learning optimization library that has redefined the possibilities …
LLM Quantization: Quantize Model with GPTQ, AWQ, and Bitsandbytes
Author(s): Luv Bansal Originally published on Towards AI. Image created by author using Dalle-3 via Bing Chat This blog will be ultimate guide for Quantization of models, We’ll talk about various ways to quantizing models like GPTQ, AWQ and Bitsandbytes. We’ll discuss …
Inside SIMA: Google DeepMind’s New Agent that Can Follow Language Instructions to Interact with Any 3D Virtual Environment
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 165,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
Opensource Grok-1: A New Frontier in AI by xAI
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. When the goal is not that I win, but you lose! OpenAI, your move. In the rapidly evolving landscape of artificial intelligence (AI), xAI’s latest release, Grok-1, marks a significant milestone. …
FastEval: Single Click Evaluation of Language Models
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Evaluation of various benchmarks with a single command FastEval is a tool designed to accelerate the evaluation process of instruction-following and chat language models. It stands out for its efficiency, providing …
Fine-tune Mixtral-8x7B Quantized with AQLM (2-bit) on Your GPU
Author(s): Benjamin Marie Originally published on Towards AI. A surprisingly good and efficient alternative to QLoRA for fine-tuning very large modelsGenerated with DALL-E Mixtral-8x7B is one of the best open LLMs. It is also very challenging to fine-tune it on consumer hardware. …
Unveiling the Magic Behind Stable Diffusion 3
Author(s): Ignacio de Gregorio Originally published on Towards AI. It’s not just another AI-image model This week Stability AI announced Stable Diffusion 3 (SD3), the next evolution of the most famous open-source model for image generation. It displays amazing results in fidelity …
The Most Common Errors in Deep Learning (Shape Errors)
Author(s): Fatma Elik Originally published on Towards AI. Photo by Siora Photography on Unsplash Shape errors occur when the shape of the input tensor does not match the expected shape for the tensor operation. These errors occur quite often when dealing with …
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