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 …
Knowledge Graph QA using Gemini and NebulaGraph Lite
Author(s): Rajesh K Originally published on Towards AI. Graph databases and knowledge graphs are among the most widely adopted solutions for managing data represented as graphs, consisting of nodes (entities) and edges (relationships). A graph database stores information using a graph-based data …
How I Use GPT-4 Code Tutor To Accelerate My Streamlit Learning
Author(s): John Loewen, PhD Originally published on Towards AI. Code Tutor saves you time and effort when learning PythonPhoto from Dall-E: coding choropleth map data visualization Productivity is an important metric that differentiates between those who are great coders and those who …
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 …
How to Do Things with Thoughts:
Author(s): Dr. Ali Hechmi Raddaoui Originally published on Towards AI. Brain-Computer Interfaces: the Good and the UglyA seated person not using their hands. This person can act on the environment with their thoughts only. Open AI How do we make things happen …
Top Resources to Master RAG: From Basic Level to Advanced
Author(s): Youssef Hosni Originally published on Towards AI. Retrieval Augmented Generation (RAG) stands at the forefront of natural language processing, blending retrieval, and generative models to produce contextually relevant text. Understanding its significance and learning its intricacies are crucial for navigating the …
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 …
Arcadia: Put your LLMs to Work — Part I: Setup
Author(s): Tim Cvetko Originally published on Towards AI. Part I of the 4-Part DocuSeries on Building Arcadia — the End-to-End Platform for API ML model Billing I call it the Anti-HuggingFace. It’s bold, capitalist, and presumptuous, and I always wanted to build …
Learning Curves: A Picture Says More Than a Thousand Words
Author(s): Jonte Dancker Originally published on Towards AI. We want our ML models to learn and generalize well to unseen data. A model that does not learn or generalize to unseen data is useless. Hence, we need to identify if the model …
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 …
Leveraging GPT-Builder To Create a Plotly Python Mapping GPT
Author(s): John Loewen, PhD Originally published on Towards AI. Designing your own custom GPT for instant Python map creation To simplify and accelerate real-time data visualizations with GPT-4, you can create a custom GPT to do the job. The GPT Builder tool …
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 …
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