How L&D Leaders Can Drive AI Readiness Across the Enterprise?
A strategic guide to AI Readiness helping L&D leaders align talent, tools, and training for
ADaSci Expert
Aniruddha Shrikhande
Aniruddha Shrikhande is an AI enthusiast and technical writer with a strong focus on Large Language Models (LLMs) and generative AI. Committed to demystifying complex AI concepts, he specializes in creating clear, accessible content that bridges the gap between technical innovation and practical application. Aniruddha's work explores cutting-edge AI solutions across various industries. Through his writing, Aniruddha aims to inspire and educate, contributing to the dynamic and rapidly expanding field of artificial intelligence.
A Deep Dive into Federated Learning of LLMs
Federated Learning (FL) enables privacy-preserving training of Large Language Models (LLMs) across decentralized data sources,
DeepSeek-Prover-V2 for Mastering Mathematical Reasoning
DeepSeek-Prover-V2 combines informal reasoning and formal proof steps to solve complex theorems , achieving top
Chartered Data Scientist (CDS™)
The highest distinction in the data science profession. Not just earn a charter, but use it as a designation.
Diving into Self-Adaptive LLMs with Transformer2
Transformer2 is a revolutionary framework enhancing LLMs with self-adaptive capabilities through Singular Value Fine-Tuning and
A Low Code Approach to Build Powerful AI Agents with Smolagents
Smolagents enable large language models (LLMs) to handle dynamic workflows with ease. Learn how its
Mastering the Art of Mitigating AI Hallucinations
AI hallucinations challenge generative models’ reliability in critical applications. Learn about advanced mitigation techniques, including
Exploring LLMs Reasoning Capability with DeepSeek-R1
DeepSeek-R1 harnesses reinforcement learning to achieve cutting-edge reasoning capabilities, outperforming traditional SFT approaches. Discover its
Google’s Titans for Redefining Neural Memory with Persistent Learning at Test Time
Titans redefine neural memory by integrating short- and long-term components for efficient retention and retrieval.
A Deep Dive into Cache Augmented Generation (CAG)
CAG eliminates retrieval latency and simplifies knowledge workflows by preloading and caching context. Learn how
A Hands-on Guide to Multilingual Visual Document Retrieval with VDR-2B-Multi-V1
vdr-2b-multi-v1 transforms visual document retrieval with multilingual embeddings, faster inference, and reduced VRAM usage. This
A Deep Dive into NVIDIA Cosmos and Its Capabilities
NVIDIA Cosmos revolutionizes Physical AI with digital twins and cutting-edge training methodologies. This article explores
Understanding FLAME, The Factuality Aware Alignment for LLMs
Large Language Models often struggle with factual inaccuracies, or hallucinations, despite their advanced instruction-following abilities.
A Deep Dive into Large Concept Models (LCMs)
Large Concept Models (LCMs) revolutionize NLP with semantic reasoning, hierarchical processing, and cross-modal integration. This
