Rajistics - data science, AI, and machine learning | Poke

Rajistics - data science, AI, and machine learning @UCu9fxVjTz5AJO7FR1upY02w@youtube.com

4.6K subscribers - no pronouns :c

I make videos about machine learning, data science, and AI.

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Start using Llama 3.2 Vision Models with Hugging Face Transformers (on Snowflake)

Text Similarity Techniques: Lexical, Semantic, and Hashing

Practical Lessons in Building Generative AI: RAG and Text to SQL

DSBench: How Far are Data Science Agents Becoming Data Science Experts

Feature Selection with Boruta, MRMR, and Recursive Feature Elimination

Spark of AI: How Transfer Learning Unlocked AI's Potential

OpenFE: Hands on Notebook Walkthrough using OpenFE's Automated Feature Engineering

Limits of AI: Compute, Memory, and Interconnection

Automated Feature Engineering with OpenFE and FETCH

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

How to Read Github (and find the Best Projects)

Transformer Explainer (Full Video) - Interactive Visualization for Transformers

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

Curriculum Learning in Machine Learning - Ordering Training Data Improves Performance

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

Pricing Optimization with Machine Learning - A funny summary

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

MobileLLM from Meta is full of efficient architecture ideas for LLMs

Challenging Benchmarks for LLMS: MUSR and Connections

BigCodeBench and Unit Testing for Evaluating Generative AI

Model Interpretability and Explainability for Machine Learning Models

Intro to Generative AI and Trends (March 2024)

Hyperparameter Optimization

Choosing Transformer, Word2Vec, or a Sentence Transformer

Rajistics on Gartner and Forrester research reports in AI

Data Science Fails - Crossing Social and Ethical Boundaries

Population Stability Index for Monitoring Machine Learning Models

Data Scientist versus Data Analyst - Police Misconduct

Implicit as an Implicit Recommender for Collaborative Filtering

Anthropic's research on Mapping the Mind of the Language Model

Retrieval Augmented Generation - What it is and how it works

Prompting versus Fine Tuning for Large Language Models

Generative AI hits the Plateau (May 2024)

RuterGPT: A Norwegian Language Model

Best Practices and Lessons Learned on Synthetic Data for Language Models

Keras versus Pytorch Benchmarking Controversy

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

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

Large Language Models (LLMs) Can Explain Their Predictions (Prediction Explanations from LLMs)

LLMs in 2026: Open Source and Proprietary

Top AI Advancements in 2023 (Practical AI)

State Space Models and other Alternatives to Transformers

Q* from Open AI and the Role of Planning for LLMs

How to overcome missing data - a skit (should you drop rows, impute, or investigate)

GPU Rich and GPU Poors - A Deep Dive into the GPU Market

Deterministic LLM inference added by OpenAI

Using Logit Bias in Large Language Models

Levels of AGI from Google's DeepMind

Training Whisper V3 from OpenAI using Weak Learning and Pseudo-Labeling

Evaluation for Large Language Models and Generative AI - A Deep Dive

Evaluating Improvements in AI using Ablations

Breaking News: Executive Order on AI

AI News (Oct 29th 2023) with a focus on AI for persuasion.

Generative AI for Manufacturing for NASA

AI News with NVIDIA, OpenAI, Anthropic, Google, and Stanford Model Transparency Report - Oct 2023

How Large Language Models (LLMs) Memorize Information

Distance Metrics for Data Science (Euclidean, Manhattan, Mahalanobis, Levenshtein, and Cosine)

Obliviate in LLMs: A summary of Approximate Unlearning in LLMs

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