Ritik JainLLMs — Parameter Efficient Fine-tuningOriginal Post: https://data-amplifier.beehiiv.com/p/llms-parameter-efficient-finetuning·6 min read·Sep 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…7 min read·Aug 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.7 min read·Aug 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 objectives8 min read·Aug 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…8 min read·Jul 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…9 min read·Dec 20, 2022----
Ritik JaininCrux IntelligenceDuckDB for Data ScienceDuckDB is an open-source relational database management system (DBMS) tool that supports structural query language (SQL).4 min read·Aug 5, 2022----
Ritik JainProbability — Gaussian DistributionAlmost 95% of random phenomena observed follows Gaussian Distribution.6 min read·Jul 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…3 min read·Jun 2, 2022----