AI institutions develop heterogeneous models for specific tasks but face data scarcity challenges during training. Traditional Federated Learning (FL) supports…
Machine Learning
The Challenge of Multimodal Reasoning Recent breakthroughs in text-based language models, such as DeepSeek-R1, have demonstrated that RL can aid…
OpenAI has open-sourced a new multi-agent customer service demo on GitHub, showcasing how to build domain-specialized AI agents using its…
In this post, we explore how generative AI can revolutionize threat modeling practices by automating vulnerability identification, generating comprehensive attack…
Developing robust text-to-SQL capabilities is a critical challenge in the field of natural language processing (NLP) and database management. The…
Meetings play a crucial role in decision-making, project coordination, and collaboration, and remote meetings are common across many organizations. However,…
The Shift in Agentic AI System Needs LLMs are widely admired for their human-like capabilities and conversational skills. However, with…
In this tutorial, we walk you through building an enhanced web scraping tool that leverages BrightData’s powerful proxy network alongside…
Introduction: The Need for Efficient RL in LRMs Reinforcement Learning RL is increasingly used to enhance LLMs, especially for reasoning…
Autoencoders and the Latent Space Neural networks are designed to learn compressed representations of high-dimensional data, and autoencoders (AEs) are…
Organizations manage extensive structured data in databases and data warehouses. Large language models (LLMs) have transformed natural language processing (NLP),…
This post is cowritten with Renyu Chen and Dev Tagare from Robinhood. Robinhood has been a pioneer and disruptor in…
This post is co-written with Vicky Andonova and Jonathan Karon from Anomalo. Generative AI has rapidly evolved from a novelty…
The Challenge of Fine-Tuning Large Transformer Models Self-attention enables transformer models to capture long-range dependencies in text, which is crucial…
In this tutorial, we delve into building an advanced data analytics pipeline using Polars, a lightning-fast DataFrame library designed for…
In the context of distributed systems and microservices architecture, orchestrating communication between diverse components presents significant challenges. However, with the…
This is a joint post co-authored with Harsh Vardhan, Global Head, Digital Innovation Hub, Apollo Tyres Ltd. Apollo Tyres, headquartered…
The Need for Efficient On-Device Language Models Large language models have become integral to AI systems, enabling tasks like multilingual…
The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through extensive pre-training on vast datasets.…
Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using…