TAI #132: Deepseek v3–10x+ Improvement in Both Training and Inference Cost for Frontier LLMs
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie While last week was about closed AI and huge inference cost escalation with o3, this week, we got a Christmas surprise from China with …
Stop Fixing Your Broken Chatbot — Start Learning From It!
Author(s): Louis Dupont Originally published on Towards AI. Why building a broken chatbot might be the best thing you’ve done. Image generated by DALL·E You built a chatbot. You launched it. And now? It’s failing. Users are frustrated. The bot feels incomplete. …
Scaling LLM Experimentation with SageMaker Pipelines and MLflow
Author(s): Saleh Alkhalifa Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image by Author. Large language models (LLMs) are transforming NLP tasks across a wide variety of industries, but often require customization to …
Retrieval Augmented Generation (RAG): A Comprehensive Visual Walkthrough 🧠📖🔗🤖
Author(s): JAIGANESAN Originally published on Towards AI. Retrieval Augmented Generation (RAG): A Comprehensive Visual Walkthrough 🧠📖🔗🤖 Photo by Andrea De Santis on Unsplash You might have heard of Retrieval Augmented Generation, or RAG, a method that’s been making waves in the world …
RAG Research Paper Explained: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Author(s): Aman Agrawal Originally published on Towards AI. RAG Research Paper Explained: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks Step Inside the World of RAG for a Detailed Breakdown of Its Core Components and Advanced Fine-Tuning Strategies RAG is one of the most …
Querying SQL Database Using LLMs — Is It a Good Idea?
Author(s): Sachin Khandewal Originally published on Towards AI. Exploring advanced prompting tools to query SQL databases in natural language using LLMs and also highlighting the limitations of these techniques. This member-only story is on us. Upgrade to access all of Medium. Image …
Quantization in Machine Learning and Large Language Models
Author(s): ANSHUL SHIVHARE Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Quantization is a powerful technique in machine learning aimed at reducing the computational and memory requirements of models. This makes them highly …
PyTorch vs PyTorch Lightning: A Practical Exploration
Author(s): Talha Nazar Originally published on Towards AI. Comparison Between PyTorch and PyTorch Lightning (Image by Author) PyTorch has become a household name among developers and researchers in the ever-evolving world of deep learning. Its dynamic computational graph, flexibility, and extensive community …
Organise Photo Dumps With AI: Face Recognition & Reverse Image Search
Author(s): Tapan Babbar Originally published on Towards AI. Source: Giphy Have you ever been handed a party photo dump so massive that scrolling through it feels like running an endless marathon of blurry dance moves, awkward smiles, and random shoes? It leaves …
OpenAI’s O3: A New Frontier in AI Reasoning Models
Author(s): Naveen Krishnan Originally published on Towards AI. OpenAI’s O3: A New Frontier in AI Reasoning Models Image Source: 12 Days of OpenAI | OpenAI The world of AI continues to evolve at an astonishing pace, and OpenAI’s latest announcement has left …
Mastering LLM-Based AI Agents
Author(s): Saleh Alkhalifa Originally published on Towards AI. Developing and Deploying Intelligent Python Agents for Practical Real-World Scenarios This member-only story is on us. Upgrade to access all of Medium. Source: Image by the author. Artificial Intelligence (AI) continues to advance at …
Let’s Build a RAG Agent Using Phi-Data in Just 20 Lines of Code — Open Source & Local! 🚀
Author(s): Anoop Maurya Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by Thomas Jensen on Unsplash As we wrap up 2024, let’s celebrate the power of AI with one last project for …
Learning Transformers: Code, Concepts, and Impact
Author(s): Aditya Kumar Manethia Originally published on Towards AI. Photo by Taton Moïse on Unsplash Introduction The paper “Attention is All You Need” (Vaswani et al.,2017) introduced the Transformer architecture, a model that revolutionized NLP by completely discarding the standard Recurrent Neural …
Key Performance Indicators (KPIs) in Machine Learning
Author(s): Mirko Peters Originally published on Towards AI. Key Performance Indicators (KPIs) in Machine Learning Source: Mirko Peters with Napkin — KPIs in Machine Learning Understanding KPIs: Definition and Importance In the dynamic world of machine learning, Key Performance Indicators (KPIs) are …
Is AI Worth the Cost? ROI Insights for CEOs Targeting 2025 Growth
Author(s): Konstantin Babenko Originally published on Towards AI. Source: Image by ImageFlow on Shutterstock 74% of companies fail at AI ROI — discover what you can do to drive real results. According to a current NTT Data digital business survey, nearly all …
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