Mastering Data Compression with LLMs via LMCompress
LMCompress uses large language models to achieve state of the art, lossless compression across text,
ADaSci Expert
Sachin Tripathi
Sachin Tripathi is the Manager of AI Research at AIM, with over a decade of experience in AI and Machine Learning. An expert in generative AI and large language models (LLMs), Sachin excels in education, delivering effective training programs. His expertise also includes programming, big data analytics, and cybersecurity. Known for simplifying complex concepts, Sachin is a leading figure in AI education and professional development.
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.
Implementing RAG Pipelines using LightRAG and GPT-4o mini
LightRAG simplifies and streamlines the development of retriever-agent-generator pipelines for LLM applications.
A Hands-on Guide to llama-agents: Building AI Agents as Microservices
Discover the power of llama-agents: a comprehensive framework for creating, iterating, and deploying efficient multi-agent
RAVEN for Enhancing Vision-Language Models with Multitask Retrieval-Augmented Learning
RAVEN enhances vision-language models using multitask retrieval-augmented learning for efficient, sustainable AI.
Lightweight Text Extraction with NuExtract – A Deep Dive
NuMind’s NuExtract model for zero-shot or fine-tuned structured data extraction.
A Comprehensive Hands-on Guide to Deep Lake Lakehouse for RAG
Deep Lake: an advanced lakehouse for efficient AI data storage and retrieval, perfect for RAG
Hands-on Guide to Vision Language Tasks using Microsoft’s Florence-2
Explore Microsoft’s Florence-2: Unifying vision and language tasks with prompt-based AI integration.
A Comprehensive Guide to Vector Databases and their Utilities
Compare and contrast between different vector databases and understand their utilities.
Diving into AutoGen Studio for Building Multi-Agent Systems
Discover Microsoft’s AutoGen Studio for easy multi-agent system development and deployment.
Nvidia’s Nemotron-4 340B for Synthetic Data Generation
Discover Nvidia’s Nemotron-4 340B models, revolutionising synthetic data generation and LLM training challenges.
Implementing RAG over Excel Sheets through LlamaIndex
Using LlamaIndex and LlamaParse for RAG implementation by preparing Excel data for LLM applications.
