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.
AI Co-Scientist Systems – A Multi Agent System for Research
AI co-scientists powered by Gemini 2.0 accelerate scientific discovery by generating and ranking hypotheses using
Benchmarking AI on Software Tasks with OpenAI SWE-Lancer
SWE-Lancer benchmarks AI models on 1,400+ real freelance software engineering tasks worth $1M, evaluating their
Step-Video-T2V for Text to Video Generation
Step-Video-T2V, a cutting-edge text-to-video model with 30B parameters, enhances video quality using Video-VAE, Video-DPO, and
Advancing Multilingual Text Embeddings through Nomic Embed Text V2
Nomic Embed Text V2 revolutionizes text embeddings with Mixture-of-Experts (MoE), enhancing efficiency, multilingual support, and
What is Temporally Adaptive Interpolated Distillation (TAID)?
TAID enhances LLM distillation by dynamically interpolating student-teacher distributions, solving capacity gaps and mode collapse.
A Guide to AISuite for Multi-LLM Integration
AISuite provides a unified API for interacting with multiple LLM providers, enabling seamless model switching.
Mastering Long Context AI through MiniMax-01
MiniMax-01 achieves up to 4M tokens with lightning attention and MoE, setting new standards for
Mastering Universal Jailbreak Defenses using Constitutional Classifiers
Constitutional Classifiers provide a robust framework to defend LLMs against universal jailbreaks, leveraging adaptive filtering
Kimi K1.5 for Advancing LLMs with Scaling RL
Kimi K1.5 revolutionizes LLM scaling by leveraging RL for long-context reasoning, policy optimization, and multimodal
Mastering Multimodal Understanding and Generation with Janus-Pro
Janus-Pro advances multimodal AI by decoupling visual understanding and generation, optimizing training strategies for superior
