Mastering Data Compression with LLMs via LMCompress
LMCompress uses large language models to achieve state of the art, lossless compression across text,
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.
Mastering Scientific and Algorithmic Discovery with AlphaEvolve
AlphaEvolve by DeepMind evolves and optimizes code using LLMs and evolutionary algorithms, enabling breakthroughs in
A Deep Dive into J1’s Innovative Reinforcement Learning
J1 by Meta AI is a reasoning-focused LLM judge trained with synthetic data and verifiable
Chartered Data Scientist (CDS™)
The highest distinction in the data science profession. Not just earn a charter, but use it as a designation.
Full Fine-Tuning vs. Parameter-Efficient Tuning: Trade-offs in LLM Adaptation
Choosing between full fine-tuning and parameter-efficient tuning depends on your task’s complexity and available resources.
Top Tools and Techniques for LLM Fine-Tuning: A Comprehensive Guide
Master LLM fine-tuning with tools, techniques, and practical insights for domain-specific AI applications.
Mastering ModernBERT: The Evolution of Encoder Models
ModernBERT enhances BERT’s capabilities with longer context handling, optimized training techniques, and efficient inference.
Deep Dive into LLaMA-Mesh: Mastering Text-to-3D Mesh Generation
LLaMA-Mesh bridges language and 3D design, enabling AI to generate 3D meshes from textual prompts.
Mastering Lightweight AI with Falcon 3 : A Hands-On Guide
Falcon 3 redefines AI with its optimized architecture, extended context handling, and quantized models for
A Hands-On Guide to LLM Observability using Portkey
Master the art of integrating and managing multiple AI models with Portkey. Explore its Universal
Dynamic Financial Agent Workflow with LangFlow: A Hands-On Guide
Master dynamic AI workflows with LangFlow’s intuitive tools for creating, managing, and optimizing pipelines.
Mastering Tiledesk for Building Chatbots with Custom Knowledge Bases
Design scalable, intelligent chatbots using Tiledesk’s custom knowledge base feature to enhance user interactions.
Hands-On Guide to Generating Synthetic Data with Gretel AI
Gretel AI simplifies synthetic data generation with customizable models, privacy-first features, and cloud-based infrastructure. This
Synthetic Data Generation for Fine-Tuning Custom Retrieval Models using Distilabel
Distilabel revolutionizes dataset creation by leveraging large language models and flexible pipelines. Generate custom, task-specific
