Nagesh MashetteMulti-Vector Retriever for RAG on tables, text, and imagesSeamless question-answering across diverse data types (images, text, tables) is one of the holy grails of RAG. langchain released three new…Jun 22Jun 22
Nagesh MashetteIntroducing the Beginner’s Guide to Text Embeddings.Text embeddings represent human language to computers, enabling tasks like semantic search. Here, i introduce sparse and dense vectors in a…Mar 31Mar 31
Nagesh MashetteGemma: Introducing new state-of-the-art open modelsGemma 2B, 7B and instrunction tuned models 2B-it and 7B-it.Mar 15Mar 15
Nagesh MashetteDeep Dive into Effective Data Cleaning Techniques: A Practical Guide for Data ScientistsIntroductionJan 5Jan 5
Nagesh MashetteLLM Benchmarks (Introduction to Benchmarks Techniques).evaluating LLMs- Specific Benchmarks should be prioritised for different tasks.Dec 25, 2023Dec 25, 2023
Nagesh MashetteSmall Language Models (SLMs)The Rise of Small Language Models: Efficiency and Customization for AIDec 12, 2023Dec 12, 2023
Nagesh MashetteGiskard : The testing framework for ML models, from tabular to LLMs.Giskard is a Python library that automatically detects vulnerabilities of AI models, from tabular models to LLM, including: performance…Nov 7, 2023Nov 7, 2023