Ritik JainLLMs — Parameter Efficient Fine-tuningOriginal Post: https://data-amplifier.beehiiv.com/p/llms-parameter-efficient-finetuningSep 29, 2023Sep 29, 2023
Ritik JainLLMs — Fine-tuning and EvaluationUnveil the power of fine-tuning LLMs for optimal task performance, encompassing single and multi-task optimization, scaling, and…Aug 21, 2023Aug 21, 2023
Ritik JainLLMs — Mastering LLM Responses through Advanced Prompt Engineering StrategiesPrompt engineering plays a pivotal role in shaping the output of LLMs, allowing us to harness their true potential and tailor responses.Aug 18, 2023Aug 18, 2023
Ritik JainLLMs — Model Architectures and Pre-training objectivesWe will take a closer look at the heart of these models — their architectures and delve into understanding the pre-training objectivesAug 17, 2023Aug 17, 2023
Ritik JainRL —An Gentle IntroductionReinforcement Learning (RL) is a fascinating area of study that focuses on teaching an intelligent agent to learn and make decisions…Jul 18, 2023Jul 18, 2023
Ritik JainAI — Recurrent Neural Networks — Part 1Recurrent neural networks (RNNs) are a type of artificial neural network that is particularly well-suited for processing sequential data…Dec 20, 2022Dec 20, 2022
Ritik JaininCrux IntelligenceDuckDB for Data ScienceDuckDB is an open-source relational database management system (DBMS) tool that supports structural query language (SQL).Aug 5, 2022Aug 5, 2022
Ritik JainProbability — Gaussian DistributionAlmost 95% of random phenomena observed follows Gaussian Distribution.Jul 7, 2022Jul 7, 2022
Ritik JainTimeseries Anomaly DetectionAnomalies are the rare events or observations which deviates significantly from standard behaviour of any system. In timeseries, an anomaly…Jun 2, 2022Jun 2, 2022
