Rajistics - data science, AI, and machine learning

Beam Search for Generating Text with Large Language Models (LLMs)

Tips for working with small datasets

SpeechT5 added to Hugging Face Transformers

Training an Image Classifier using Hugging Face Transformers

Intro to Generative AI and Trends (March 2024)

MultiModal Benchmarks for GPT-4 V (ision), Reka AI, and Meta

QLoRA - Efficient Finetuning of Quantized LLMs

Text to SQL with NSQL from Numbers Station

Instructor - Embeddings Model

Fine Tuning an Image Classifier on Indian Food Images

Llama 2 Paper Explained

LLMs for Data Annotation and Labeling (Semi-Supervised Learning) from Refuel AI

Accuracy versus Interpretability / Explainability in Machine Learning

GPT-4o mini from Open AI: Performance, Cost, Competition, and Development of LLMs

Code completion (CoPilot) Improves Developer Productivity

Axolotl: A declarative approach to fine tuning large language models (LLMs)

How I added a list of my Tik Tok videos to my web site

AI News for Jan 2024 (Meta spending on AI, market caps up)

My Data Science Setup - VSCode, Conda, Rstudio, Colab, Digital Ocean

MobileLLM from Meta is full of efficient architecture ideas for LLMs

Keras versus Pytorch Benchmarking Controversy

Machine Learning Visualizations: My Favorites

Best Practices and Lessons Learned on Synthetic Data for Language Models

Cheating in Kaggle

BigCodeBench and Unit Testing for Evaluating Generative AI

VLLM: A widely used inference and serving engine for LLMs

Feature Selection with Recursive Feature Elimination

Automated Feature Engineering with OpenFE and FETCH

The value of open source software ($9 Trillion)

4 Lessons for Generative AI from Snowflake's Text to SQL Model (Snowflake CoPilot).

OpenAI SORA, Google with Gemini Pro Updates, and Meta with V-JEPA for your AI News

Open Source AI Models from Nomic and Allen AI (Dolma Corpus)

How to Read Github (and find the Best Projects)

Feature Selection with Boruta, MRMR, and Recursive Feature Elimination

Beam Search for Generating Text with Large Language Models (LLMs)

GPT or BERT? Reviewing the tradeoffs of using Large Language Models versus smaller models

Transformer Explainer (1 min Short) - Interactive Visualization for Transformers

Start Collecting Evaluation Data for Machine Learning Projects

Challenging Benchmarks for LLMS: MUSR and Connections

State of Generative AI in 2024 and How it is Falling Short

Transformer Explainer (Full Video) - Interactive Visualization for Transformers

Rules: A Simple & Effective Machine Learning Approach (Rajiv Shah 11-09-21)

ABCs of AI for Machine Learning and Generative AI - Anything But Chatbots

Curriculum Learning in Machine Learning - Ordering Training Data Improves Performance

Model Interpretability and Explainability for Machine Learning Models

Hyperparameter Optimization

7 Baseline Predictive Models for Anomaly, Search, Time Series and More

Human Expertise in Text to SQL (Databricks, Snowflake, and Numbers Station)

Limits of AI: Compute, Memory, and Interconnection

Pricing Optimization with Machine Learning - A funny summary

Llama 3.1