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Publication Vision And Guidelines
Publication Vision And Guidelines
What we seek to achieve, and what is needed to publish here
James Koh, PhD
Sep 8, 2023
A gentle introduction to the LLM Multiverse (Part 2): Haystack
A gentle introduction to the LLM Multiverse (Part 2): Haystack
If you’ve seen Spider-Man: No Way Home, you’ll remember the moment that three versions of Spider-Man — each from a different universe —…
Tituslhy
Oct 11
A gentle introduction to the LLM Multiverse (Part 1): Langchain
A gentle introduction to the LLM Multiverse (Part 1): Langchain
If you’re just starting on your LLM journey, you will find yourself overwhelmed by the many different (and endless) technology stacks and…
Tituslhy
Oct 6
HyDE and Seek: When hallucination leads the way
HyDE and Seek: When hallucination leads the way
You read the title right. Hallucination is suddenly good when it’s used in RAG applications no less!
Tituslhy
Oct 2
Video killed the radio star: The promise and premise of multimodal RAG
Video killed the radio star: The promise and premise of multimodal RAG
There have been many articles and cookbook recipes on text-based RAG and deservingly so - RAG allows anyone to “chat” with their lengthy…
Tituslhy
Sep 24
Investing with LLMs: Does it make cents?
Investing with LLMs: Does it make cents?
LLMs are amazing. They can write essays, answer questions from bespoke data sources, use tools on hand to answer user questions, and are…
Tituslhy
Sep 5
Chain reaction: How to create an observable frontend workflow using LlamaIndex and Chainlit
Chain reaction: How to create an observable frontend workflow using LlamaIndex and Chainlit
On LlamaIndex
Tituslhy
Aug 28
Data Analyst Intern at Speedoc
Data Analyst Intern at Speedoc
Sharing about my internship experience as data analyst at Speedoc
Wang Shunqi
Aug 15
End-to-end text prediction — zero local footprint
End-to-end text prediction — zero local footprint
Skills needed to survive in the real world
James Koh, PhD
Jul 13
Extract Structured Output from Unstructured Texts with LLM Tool-Calling
Extract Structured Output from Unstructured Texts with LLM Tool-Calling
1. INTRODUCTION
Joshua Phuong Le
Jun 19
Reinforcement Learning: Optimal Blackjack Strategies
Reinforcement Learning: Optimal Blackjack Strategies
Simulating Blackjack games to learn the optimal playing strategy using Monte Carlo and TD(λ)
Neel Modha
Jun 14
Naïve Bayes Classifier for Text Classification of Customer Reviews
Naïve Bayes Classifier for Text Classification of Customer Reviews
In this post, we will explore using the Naïve Bayes Classifier to differentiate 1-star and 5-star customer text reviews. In particular, we…
XY
Jun 13
Serverless LLMs — Diversifying from OpenAI LLMs in Azure Environment for both Personal and…
Serverless LLMs — Diversifying from OpenAI LLMs in Azure Environment for both Personal and…
I. MOTIVATION
Joshua Phuong Le
May 29
A worked example on updating weights by gradient descent
A worked example on updating weights by gradient descent
For CS610 Applied Machine Learning
James Koh, PhD
May 9
On Parameter Selection and Shrinkage
On Parameter Selection and Shrinkage
For CS610 Applied Machine Learning
James Koh, PhD
May 3
Probabilistic Generative Models — A worked example
Probabilistic Generative Models — A worked example
Introduction
James Koh, PhD
Apr 14
How to host your CV on https — starting from zero
How to host your CV on https — starting from zero
A step-by-step guide using Amazon Web Services
James Koh, PhD
Apr 3
How I Went from Engineer to Data Scientist
How I Went from Engineer to Data Scientist
I. INTRODUCTION
Joshua Phuong Le
Mar 20
Singular Value Decomposition — Explained step by step with code
Singular Value Decomposition — Explained step by step with code
What it is intuitively, with numbers to illustrate
James Koh, PhD
Feb 6
80% of Data Scientists supposedly hold a Master’s/PhD — Is It Fair As A Minimum Requirement?
80% of Data Scientists supposedly hold a Master’s/PhD — Is It Fair As A Minimum Requirement?
4 contributing factors, and what we can make of it moving forward.
James Koh, PhD
Jan 14
Reinforcement Learning: Implementing TD(λ) with function approximation
Reinforcement Learning: Implementing TD(λ) with function approximation
A unicorn of an algorithm combining the benefits of Monte Carlo, single-step Temporal Difference methods and the n-steps in between
Ruo Xi Yong
Dec 20, 2023
A Survey on Publications by Companies You Know
Technical writing on Medium by well-known organizations
James Koh, PhD
Nov 23, 2023
Doing a PhD — The 5 W’s
Doing a PhD — The 5 W’s
Who, What, When, Where, Why? Things to consider before embarking on this journey
James Koh, PhD
Nov 11, 2023
When Customer Centricity Slides into Customer Obsession
When Customer Centricity Slides into Customer Obsession
Is the customer king, are you overly obsessed with what they want? Here is my thoughts to avoid pitfalls of customer obsession.
Kelvin LEE
Nov 3, 2023
6 Established RL Models — 1 min Each
6 Established RL Models — 1 min Each
DQN | PPO | A2C | DDPG | TD3 | SAC — Intuition For Practitioners/Enthusiasts
James Koh, PhD
Oct 21, 2023
Open-Access For My Articles
Open-Access For My Articles
Will be updated regularly, so there is no wall
James Koh, PhD
Oct 17, 2023
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