Media Summary: In this video, our research work is presented: “ Link to my free E-book on the Nonlinear Schrodinger Equation: ... From messy to meaningful data: LLM-powered classification in R Speaker(s): Dylan Pieper Abstract: Transform messy, ...

Raman Resource Efficient Approximate Posit - Detailed Analysis & Overview

In this video, our research work is presented: “ Link to my free E-book on the Nonlinear Schrodinger Equation: ... From messy to meaningful data: LLM-powered classification in R Speaker(s): Dylan Pieper Abstract: Transform messy, ... When we think of LLMs (large language models), usually what comes to mind are general purpose chatbots like ChatGPT or code ... In this video, we break down the paper Less is More: Recursive Reasoning with Tiny Networks, which introduces the Tiny ... Discover how the RBF (Radial Basis Function) kernel works by implicitly mapping data into an infinite-dimensional space to solve ...

Build Your First Scalable Product with LLMs: Chapters: 0:00 Intro 1:32 Floating Points 3:07 Floats Example 6:50 Posits 10:43 Posits Example 12:23 Are Posits really better? Get started with Positron! In this introductory video, Sara Altman, a data science educator at In this video, we cover another Bayesian Optimization method to perform hyperparameter optimization: Tree Parzen Estimator. Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam ... Can a single computer run a trillion-parameter LLM at 4 tokens per second using Intel Optane? This video exposes why this ...

Here's a workflow most data scientists know too well: you hit a wall mid-analysis, copy your code, switch to a browser chatbot, and ...

Photo Gallery

RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm–Hardware Co-desigN
Approximating the Raman effect!
From messy to meaningful data: LLM-powered classification in R (Dylan Pieper) | posit::conf(2025)
Harnessing LLMs for Data Analysis | Led by Joe Cheng, CTO at Posit
Tiny Recursive Model (TRM) Paper Explained
RBF Kernel Explained: Mapping Data to Infinite Dimensions
Key Metrics and Evaluation Methods for RAG
Posits – Beating Floating Point at its Own Game | #SoME4
A quick tour of Positron
Automated Machine Learning - Tree Parzen Estimator (TPE)
RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models
Why RAM Speed Beats Trillion-Parameter AI Capacity
View Detailed Profile
RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm–Hardware Co-desigN

RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm–Hardware Co-desigN

In this video, our research work is presented: “

Approximating the Raman effect!

Approximating the Raman effect!

Link to my free E-book on the Nonlinear Schrodinger Equation: ...

From messy to meaningful data: LLM-powered classification in R (Dylan Pieper) | posit::conf(2025)

From messy to meaningful data: LLM-powered classification in R (Dylan Pieper) | posit::conf(2025)

From messy to meaningful data: LLM-powered classification in R Speaker(s): Dylan Pieper Abstract: Transform messy, ...

Harnessing LLMs for Data Analysis | Led by Joe Cheng, CTO at Posit

Harnessing LLMs for Data Analysis | Led by Joe Cheng, CTO at Posit

When we think of LLMs (large language models), usually what comes to mind are general purpose chatbots like ChatGPT or code ...

Tiny Recursive Model (TRM) Paper Explained

Tiny Recursive Model (TRM) Paper Explained

In this video, we break down the paper Less is More: Recursive Reasoning with Tiny Networks, which introduces the Tiny ...

RBF Kernel Explained: Mapping Data to Infinite Dimensions

RBF Kernel Explained: Mapping Data to Infinite Dimensions

Discover how the RBF (Radial Basis Function) kernel works by implicitly mapping data into an infinite-dimensional space to solve ...

Key Metrics and Evaluation Methods for RAG

Key Metrics and Evaluation Methods for RAG

Build Your First Scalable Product with LLMs: https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=1f9b29 ...

Posits – Beating Floating Point at its Own Game | #SoME4

Posits – Beating Floating Point at its Own Game | #SoME4

Chapters: 0:00 Intro 1:32 Floating Points 3:07 Floats Example 6:50 Posits 10:43 Posits Example 12:23 Are Posits really better?

A quick tour of Positron

A quick tour of Positron

Get started with Positron! In this introductory video, Sara Altman, a data science educator at

Automated Machine Learning - Tree Parzen Estimator (TPE)

Automated Machine Learning - Tree Parzen Estimator (TPE)

In this video, we cover another Bayesian Optimization method to perform hyperparameter optimization: Tree Parzen Estimator.

RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models

RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models

Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam ...

Why RAM Speed Beats Trillion-Parameter AI Capacity

Why RAM Speed Beats Trillion-Parameter AI Capacity

Can a single computer run a trillion-parameter LLM at 4 tokens per second using Intel Optane? This video exposes why this ...

Introducing Posit AI for Positron and RStudio

Introducing Posit AI for Positron and RStudio

Here's a workflow most data scientists know too well: you hit a wall mid-analysis, copy your code, switch to a browser chatbot, and ...