Event-Driven Prediction: Expanding Mamba State Space Models for Conditional Forecasting
Author(s): Shenggang Li Originally published on Towards AI. A Novel Approach Combining Markov Decision Theory and Neural State Space Models for Stock Price Prediction This member-only story is on us. Upgrade to access all of Medium. Photo by Ella Jardim on Unsplash …
MongoRAG: Leveraging MongoDB Atlas as a Vector Database with Databricks-Deployed Embedding Model and LLMs for Retrieval-Augmented Generation
Author(s): Dwaipayan Bandyopadhyay Originally published on Towards AI. Today, in this article, I will give a detailed walkthrough about how we can leverage MongoDB’s own Atlas as a Vector Search Index and Embedding model and LLM served as an endpoint in the …
Scikit-learn from A to Z: The Complete Guide to Mastering Machine Learning in Python
Author(s): Aleti Adarsh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. We have seen how Machine learning has revolutionized industries across the globe during the past decade, and Python has emerged as the …
How DeepSeek Cuts AI Costs: From Homegrown Tech to Desert Power
Author(s): Don Lim Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. DeepSeek doesn’t rely on NVIDIA chips for inference. They also don’t solely use Western AI development frameworks like PyTorch and TensorFlow. This …
Self-Supervised Learning: The Next Frontier in Machine Learning
Author(s): Aleti Adarsh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Have you ever felt like the world of machine learning is moving so fast that you can barely keep up? Trust me, …
Achieving General Intelligence (AGI) and Super Intelligence (ASI): Pathways, Uncertainties, and Ethical Concerns
Author(s): Mohit Sewak, Ph.D. Originally published on Towards AI. Artificial Super Intelligence (ASI): The Research Frontiers to Achieve AGI to ASI and the Challenges for Humanity Examining the Latest Research Advancements and Their Implications for ASI Development The Research Frontiers to Achieve …
Deepseek’s Bold Move Igniting the AI Cold War
Author(s): Murat Girgin Originally published on Towards AI. Just as the launch of Sputnik in 1957 ignited the space race, Deepseek’s sudden emergence has sparked a new era of AI competition. Back then, a single satellite reshaped global power dynamics and technological …
Comprehensive Guide: Handling Missing Values in Machine Learning — A-Z Crash Course
Author(s): Aleti Adarsh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Non-Member’s can read this article for free :- link Before we dive into the intricacies of handling missing values and improving your …
AI Innovations and Insights 23: KAG, AlphaMath, and Offloading
Author(s): Florian June Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. This article is the 23rd in this compelling series. Today, we will explore three intriguing topics in AI, which are: KAG: Brilliant …
How to Become a Generative AI Engineer in 2025?
Author(s): Vishwajeet Originally published on Towards AI. How to Become a Generative AI Engineer in 2025? Photo by Andrea De Santis on Unsplash Artificial Intelligence (AI) has revolutionized the way we interact with technology, and Generative AI is at the forefront of …
How to Fine-Tune Any Large Language Model (LLM)
Author(s): Pranjal Khadka Originally published on Towards AI. Fine-tuning large language models (LLMs) has become an easier task today thanks to the availability of low-code/no-code tools that allow you to simply upload your data, select a base model and obtain a fine-tuned …
How to Do the “Retrieval” in Retrieval-Augmented Generation (RAG)
Author(s): Dimitris Effrosynidis Originally published on Towards AI. Efficient Retrieval for RAG Leveraging Dense BM25 and Transformer Models This member-only story is on us. Upgrade to access all of Medium. Image by author. Efficient and accurate text retrieval is a cornerstone of …
Understanding Agentic RAG and How It’s Different From RAG With Code
Author(s): Harsh Maheshwari Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Created using Dalle 3 In the world of Large Language Models (LLMs), Retrieval Augmented Generation (RAG) has emerged as a game-changer. Traditional …
Jailbreaking DeepSeek
Author(s): Shashwat (Shawn) Gupta Originally published on Towards AI. The AI community knows that DeepSeek censors some content. However, in this post, I bring out common approaches to jailbreak the model and get relevant information. The whole idea is to fool the …
TAI #137: DeepSeek r1 Ignites Debate: Efficiency vs. Scale and China vs. US in the AI Race
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week’s AI discourse centered on DeepSeek’s r1 release, which sparked a heated debate about its implications for OpenAI, GPUs, and the broader industry. …
Popular posts
Updates
Recent Posts
