A Deep Dive into Federated Learning of LLMs
Federated Learning (FL) enables privacy-preserving training of Large Language Models (LLMs) across decentralized data sources,
Artificial Intelligence Trends - Explore Our Blogs
DeepSeek-Prover-V2 for Mastering Mathematical Reasoning
DeepSeek-Prover-V2 combines informal reasoning and formal proof steps to solve complex theorems , achieving top
A Practical Guide to Enabling AI Agent Browser Control using Browser-use
Browser-Use is an open-source Python library that lets LLM-powered agents interact with websites via natural
Corporate Trainings on Generative AI
Our corporate training program on Generative AI provides a unique opportunity to empower, retain, and advance your talent.
Revolutionizing Language Models with KAN: A Deep Dive
Kolmogorov-Arnold Networks (KAN) offer a groundbreaking approach to language model architecture, enabling efficient continual learning
Microsoft’s Phi-3 Models: A Game Changer in AI Performance and Accessibility
Microsoft’s Phi-3 small and medium models, released under the MIT license, set new performance benchmarks,
Functional Tokens for Creating Enterprise-Grade Agentic Systems
Functional tokens streamline enterprise-grade agentic systems by enhancing function prediction efficiency in language models.
Unlock the Power of Geospatial Data with Leafmap’s One-Line Google Open Buildings Download
Leafmap now supports one-line downloads of Google Open Buildings data, simplifying access to the largest
Certified Generative AI Engineer
ADaSci’s Certified Generative AI Engineer program is an upskilling-linked certification initiative designed to recognize talent in generative AI and large language models.
