Modeling Zero-Inflated Data: What Every Data Scientist Should KnowImagine you’re working on a machine learning project predicting customer purchases. You find that a large portion of your data contains…Aug 26Aug 26
SFT vs DFO vs PEFT vs GRPO: Choosing the Right Fine-Tuning Strategy for LLMsLarge Language Models (LLMs) like GPT, LLaMA, and Mistral have changed the way we interact with data and automation. But to make these…Aug 2Aug 2
Steering Large Language Models with Activation Vectors: A Practical GuideLarge Language Models (LLMs) like GPT-3, Claude, and Mistral have revolutionized natural language processing. However, their outputs can…May 31May 31
Crafting a Data Science Success Story: 11 Key Topics to Engage Stakeholders EffectivelyDiscover the essential elements to transform a data science project into a compelling narrative for stakeholders. From business use cases…Nov 24, 2024Nov 24, 2024
Understanding Transformer Architecture: Revolutionizing Natural Language Processing Through…Transformers Unpacked: An In-Depth Guide to Encoder-Decoder Architecture, Positional Encoding, Multi-Head Attention, and Feed-Forward…Nov 14, 2024Nov 14, 2024
Introduction to the Various Types of Adapters in Large Language Models (LLMs)Explore LLM adapters to improve the efficiency of the LLMSOct 5, 2024Oct 5, 2024
Understanding CONDENSE: A New Approach to Optimizing Large Language ModelsRevolutionizing Language Models Projects with CONDENSE approach for Enhanced Optimization for a Competitive EdgeAug 24, 2024Aug 24, 2024
Evaluating RAG Models with ARES: A Scalable Approach to Automated Retrieval and Generation ScoringARES (Automated Retrieval-Enhanced Scoring) is an evaluation framework designed to assess the performance of Retrieval-Augmented Generation…Aug 19, 2024Aug 19, 2024
Evaluating RAG Models with RAGAS: A New Benchmark for RAGTraditional metrics often fall short when it comes to assessing the nuanced abilities of these models, especially in specialized tasks…Aug 19, 2024Aug 19, 2024
